Browse the solutions provided by AIOTI members in the table.

AIOTI IG Testbeds Catalogue

Name	Provider	Domains	Use-cases	Access	Testbed stage
AISTOR AISTOR_SolarEdge_testbed	Location: BEIA headquarters, Street Peroni 14, Disctrict 4, Bucharest, Romania	(Renewable) Energy, Smart grid	Installing solar panels at a user's own home and connecting them to inverters with the purpose of becoming a prosumer, then being able to visualise in real time the power generation capabilities of each solar panel, so the user can determine their efficiency and ask for maintenance from the PV cell provider, in case of faulty functionality. Additionally, Solar Edge operators will have access to a dashboard of each user's PV cell "garden" and see their phyisical locations mapped geographically, along with their orientation and energy generation capabilities. Warnings and alerts can be generated by specifying certain parameters (the power generation falls under a certain threshold).	License: Open Access: local(operators can come and provide installation, maintenance) and remote (through the dashboard), based on agreement Contact: george@beia.ro, cristian.beceanu@beia.ro, robert.florescu@beia.ro,	deployed testbed
Description: We are already seeing the large scale implementation of Photovoltaic cell implementation in suburban areas where single-family housing is the norm. A unified way of visualising the energy production in real time is an ideal step forward. The application can provide a histogram of energy generation, so the users can determine which PV cells are more efficient and what during which months there will be no need to draw energy from the electric grid
Concept:			Technology: MQTT, IoT, Renewable Energy, Energy Efficiency, InfluxDB
Hardware Photovoltaic (PV) Cells, inverters			Software Grafana, Solar Edge, Java, API
Name	Provider	Domains	Use-cases	Access	Testbed stage
CCC Climate Coalition Change	Location: Ottawa, Canada	Cross-domain, climate action	Energy, Agriculture, Land use, Industry, Finance, Building, Transportation	License: not available Access: local and remote, based on a specific agreement Contact: climatechaincoalition@gmail.com	use-case
Description: The CCC Testbed series are set to demonstrate practical use cases from the Climate Chain Coalition, a global multi-stakeholder membership of over 270 organizations in over 50 countries (CCC Members). CCC Members use a variety of DLTs (e.g., Ethereum, Hyperledger, Algorand, Chia, Tezos, Stellar, IOTA, Bitcoin) in combination with other digital technologies. The DLT-enabled digital solutions are deployed for a variety of use case applications (e.g., carbon markets with tokenization and transactions, emissions accounting and MRV, supply chains and product carbon footprints, adaptation to climate impacts, innovative climate finance). Demonstrations and reports with insights into the technical layers allow observers to properly understand how DLT is applied in combination with the IoT and IT stack.
Concept: The AIOTI DLT 1.06 CCC Testbeds are CCC Member-driven ‘Use case demonstrators. Each case in the 1.06 Testbed series is dedicated to one CCC Member use case. Approximately 10% of the CCC membership is anticipated to be involved with a demonstration. Each participating CCC Member will demonstrate its own use case(s), and some CCC Members are anticipated to be involved in a second phase to collaborate to demonstrate interoperability of digital solutions across the “carbon value chain and to support a global ‘single market’.			Technology: Convergence of IoT, DLT, AI, Digital Twins, and legacy IT components
Hardware On-Premises, Edge and Cloud combined			Software Legacy IT and IoT platforms combined with different DLT protocols.
Name	Provider	Domains	Use-cases	Access	Testbed stage
FarmSustainaBL Enabling Smart Livestock Farming Technologies for Environmental Sustainability using Blockchain	Location: Bucharest, Romania	Agriculture	Farms	License: open Access: remote Contact: George Suciu, george@beia.eu	proof of concept
Description: The main objective of the project is to apply a holistic approach for decreasing the GHG emissions derived from intensive livestock farming by optimizing the livestock production. For doing this, the consortium will monitor the animal feed, the animal behaviour and characteristics and the stable environment. Specifically, IoT devices will be installed in the farm for monitoring key parameters of the stable environment (temperature, humidity, gas sensors (NOx, COx, CH4, NH3, etc.), the animal (accelerometer, motion sensor, weight sensor, etc.) and the feed (flow sensor, weight sensor, humidity sensor etc.).
Concept:			Technology:
Hardware			Software
Name	Provider	Domains	Use-cases	Access	Testbed stage
F5G OpenLab Enable twin transition – green and digital, through ubiquitous fiber connectivity.	Location: Berlin, Germany	Manufacturing, Health, Information and Communications Technology (ICT)	Cloud-based machine vision, cloud-based control of AGVs and robots, F5G use cases	License: n.a. Access: local and remote access possible, please contact us! Contact: contact@F5G-OpenLab.org Prof. Dr. Ronald Freund	deployed testbed
Description: The F5G OpenLab is a novel testing and experimentation facility. Its objective is to make information and communication technologies (ICT) more sustainable by promoting optical-fiber-based Fifth Generation Fixed Networks (F5G). The F5G OpenLab is located at Fraunhofer HHI in Berlin. It was created to advance the validation of technologies and solutions that were defined by the Industry Specification Group (ISG) F5G of the European Telecommunications Standards Institute (ETSI). F5G OpenLab aims at gathering ICT demands and promoting fiber-to-the-X technologies, solutions and standards for application in vertical industries. The F5G OpenLab is open for members from vertical industries who want to implement a digital and green business model. It provides access to the latest innovations in fiber networks. Members get the chance to access blueprint designs for networks and leverage the benefits of fiber technology for all segments. The project’s testing lab evaluates novel components, systems and network designs. It offers a vendor-neutral experimental environment and a co-working space for validating new optical and mobile network solutions with respect to their bandwidth, latency and cloud requirements.
Concept: Urban-area manufacturing site to edge cloud networking testbed with fully networked factory shop floor.			Technology: PON, OTN, WDM, WiFi,...
Hardware PON/WiFi networks, edge cloud, robots, AGVs, vision inspection station, 3D printer, surveillance cameras, traffic generators, ...			Software network management systems, real-time telemetry and machine learning pipeline, distributed learning framework (DLFi)
Name	Provider	Domains	Use-cases	Access	Testbed stage
PIMEO AI PIMEO AI Testbed	Location: Bucharest, Romania	Water quality	complete suites of water quality measurements in all types of sensitive aquatic ecosystems	License: open Access: remote Contact: george@beia.eu - George Suciu	proof-of-concept
Description: PIMEO AI targets the development and operational use in multiple representative environments of an artificial intelligence (AI) powered unmanned surface vehicle (USV) that is capable to perform complete suites of water quality measurements in all types of sensitive aquatic ecosystems. The resulting PIMEO AI USV will be a next-generation advanced analysis tool for studying sensitive ecosystems, identifying pollution sources, and mapping their environmental impact. It will fill an important market need for comprehensive water quality USVs, the market today being highly limited and aimed primarily at hydrology research.
Concept: key technological blocks supported			Technology: IoT sensors, energy efficient sensors
Hardware data loggers, iot sensors, Gateways			Software data connectors - REST and MQTT based, timeseries database, open source data visualziation tool
Name	Provider	Domains	Use-cases	Access	Testbed stage
SAFECARE	Location: Romania	Energy	use-cases supported	License: type of licensing, for instance, open, MIT, Eclipse. If there are IPRs, please state so. Access: local and remote, based on a specific agreement, etc. Contact: robert.kecs@beia.ro; robikecs1234@gmail.com; robert.florescu@beia.ro	deployed testbed
Description: The aim of SAFECARE is to provide solutions that will improve physical and cyber security in a seamless and cost effective way. Thereby, it promotes new technologies and novel approaches to enhance threat prevention, threat detection, incident response and mitigation of impacts.
Concept:			Technology: MQTT, IoT,BTMS
Hardware Data loggers, IoT,			Software MQTT, JS, Python, C/C++, blockchain, surveilance
Name	Provider	Domains	Use-cases	Access	Testbed stage
SEALEDGRID Testing and Evaluating Sophisticated information and communication Technologies for enaBling scalablE smart griD Deployment	Location: Romania	Energy	use-cases supported	License: type of licensing, for instance, open, MIT, Eclipse. If there are IPRs, please state so. Access: local and remote, based on a specific agreement, etc. Contact: robert.kecs@beia.ro; robikecs1234@gmail.com; robert.florescu@beia.ro	deployed testbed
Description: The rapid evolution of ICT has revealed the potential for centrally monitoring, controlling, and optimising the power grid. In this context, a more intelligent, responsive, and efficient, system has been devised, known as the Smart Grid (SG). As explained in the EU Third Energy Package the SG will support a dynamic two-way information exchange between utility companies and their customers, contributing towards a smart and sustainable energy management in Europe and the establishment of a wiser energy consumption mentality. However, besides the benefits of such an endeavour, the power grid will be exposed to security threats inherited from the ICT sector, while privacy issues and new vulnerabilities, related to the specific characteristics of the SG infrastructure, will emerge. The problem is assessed as crucial, if we consider that a potential attack to the SG may lead to cascading failures, ranging from destruction of other interconnected critical infrastructures to loss of human lives. Thus, the development of a security platform tailored to the SG is required, that i) can efficiently manage the plethora of SG nodes, ii) deal with potential malicious hardware or software modifications due to the physical access of the customers to the SG nodes, and iii) operate over heterogeneous systems. Considering all the above, SealedGRID aims at bringing together experts from industry and academia from cross-sectorial research areas having complementary background with the long-term goal to design, analyse, and implement a scalable, highly trusted and interoperable SG security platform. The platform will combine, for the very first time, technologies like Blockchain, Distributed Hash Tables, Trusted Execution Environments, and OpenID Connect, while for its realization the SealedGRID consortium is committed to a fully-integrated and multi-disciplinary secondment programme combined with a set of networking, dissemination, and exploitation activities.
Concept:			Technology: MQTT, IoT,
Hardware Data loggers, IoT, Solar Panels, Inverters,			Software MQTT, JS, Python, C/C++, blockchain
Name	Provider	Domains	Use-cases	Access	Testbed stage
SS-IoT SmartSantander IoT Testbed	Location: Santander, Spain	Smart cities, Cross-domain	Smart Parking, waste management, water management, street lighting	License: not available Access: local based on a specific agreement Contact: luis@tlmat.unican.es, Luis Muñoz	deployed testbed
Description: SmartSantander proposes a unique in the world city-scale experimental research facility in support of typical applications and services for a smart city. This unique experimental facility will be sufficiently large, open and flexible to enable horizontal and vertical federation with other experimental facilities and stimulates development of new applications by users of various types including experimental advanced research on IoT technologies and realistic assessment of users’ acceptability tests.
Concept: SmartSantander-IoT is aiming at fostering the digital transformation of the primary, secondary and tertiary sectors leveraging on the experiences and success of the Internet of Things initiatives in which University of Cantabria and Santander Municipality have been leading in the past. As such, this testbed aims at offering technical support and guidance as well access to a plethora of enablers, tools, APIs, and data for implementing and assessing concrete solutions fitting the corresponding requirements.			Technology: IoT, LoRaWan, WSN, Digital twin, Open Data, Blockchain, Artificial Intelligence & Machine Learning
Hardware On-Premises, Edge and Cloud combined. Gateways and nodes LoRaWan, IoT IP-enabled devices, e.g., sensors, Raspberry Pis with sensors, Beaglebones, etc. end-user devices, e.g., smartphones, tablets, laptops; cameras.			Software Based-on FIWARE components for the development of intelligent solutions and services.
Name	Provider	Domains	Use-cases	Access	Testbed stage
TESTBED2 Testing and Evaluating Sophisticated information and communication Technologies for enaBling scalablE smart griD Deployment	Location: International:, USA, Nebraska, Princeton, California; Greece, Marousi; UK, Durham, Newcastle, Edinburgh; France, Paris; Germany, Tuebingen; Austria, Klagenfurt; Netherlands, Haarlem; Romania, Bucharest; Switzerland, Poidoux; China, Beijing, Nanjing, Guangzhou	Energy, Computational Efficiency, Smart Grid		License: Access: local and remote, based on a specific agreement. Contact: robert.florescu@beia.ro	deployed testbed
Description: The increased computational complexity of decision making in extensive smart grid networks and limited performance due to unoptimized large-scale implementations of smart grids have lead to an urgent call-to-action. Thanks to the MQTT protocol, the ability of accessing IoT sensor data remotely has made maintenance and repairing tasks an ease, as there is no longer a necessity to waste specialists time on localizing the source of the issue. Additionally, IoT has offered consumers live access to their consumption data, thus facilitating the payment of bills. Blockchain together with cryptography has made significant improvements to the underlying security of the network, by firstly ensuring the authenticity of the information circulated between network nodes and secondly by scrambling the data, in order to prevent potential malicious users from finding out essential information regarding the consumer’s energy usage habits. Artificial Intelligence aims at optimizing the information flow and integrating supervisory control and data acquisition (SCADA) into the network, thus providing interoperability with existing grid architecture.
Concept: key technological blocks supported			Technology: MQTT, IoT, Blockchain
Hardware Smart Meters, Inverters, Photvoltaic cells, Electrical grid infrastructure, FIDO			Software XACML, AuthZ, FIDO, Keycloak
Name	Provider	Domains	Use-cases	Access	Testbed stage
VITAL5G Testing and Evaluating Sophisticated information and communication Technologies for enaBling scalablE smart griD Deployment	Location: Galati, Romania	Transport	use-cases supported	License: type of licensing, for instance, open, MIT, Eclipse. If there are IPRs, please state so. Access: local and remote, based on a specific agreement, etc. Contact: robert.kecs@beia.ro; robikecs1234@gmail.com; robert.florescu@beia.ro	deployed testbed
Description: The VITAL-5G project plans to showcase the added-value of 5G connectivity for the European T&L sector by adopting a multi-modal approach containing major logistics hubs for freight and passengers (sea ports, river ports, etc.)
Concept:			Technology: MQTT, IoT, 5G
Hardware Data loggers, 5G tranceivers, Video, AIS.			Software MQTT, JS, Python, C/C++
Name	Provider	Domains	Use-cases	Access	Testbed stage
Aalto Aalto University Factory of the Future	Location: Helsinki, Finland	Manifacturing, energy, agriculture, mobility, logistics	Predictive maintenance, human robot interaction, collaborative robots, flexible production, Low electric vehicles.	License: https://version.aalto.fi/gitlab/afof Access: partner access feasible Contact: Dr Udayanto Dwi Atmojo udayanto.atmojo@aalto.fi, Prof. Valeriy Vyatkin valeriy.vyatkin@aalto.fi	Testbed
Description: The Aalto Factory of the Future 1 is a facility for innovation and education of future industrial automation, industry 4.0 and beyond. It is a space shared by humans, robots, and production stations, which serves as a platform for projects in advanced information technologies applied to future production systems. It focuses on achieving revolutionary high flexibility by exploiting the architecture of modular autonomous intelligent production units. We have access to enabling technologies for production systems that include AI, IIoT, wireless (5G, Wi-Fi 6, LoraWAN) connected to Aalto 5G Test Network, edge/fog/cloud computing paradigms, VR/AR.
Concept: Distributed automation system in hyper flexible production system based on modular production units			Technology: IT/OT integration ranging from IEC 61131-3, IEC 61499, OPC UA, 5G, WiFi6, TSN, LoRA, Digital twin, Edge / Cloud computing, smart wearables, mobile AGVs, HPC, 5G, Wi-Fi 6, LoraWAN, Edge computing.
Hardware Festo Didactic (Festo CP Lab, Festo Modular Production System), AGVs with industrial robots mounted (Mobile Industrial Robot MIR100, UR3, ABB Yumi, Festo Robotino, Milvus Robotics SEIT100), HTC Vive VR, Artec 3D Scanner, vertical farming demonstrator, Schneider Electric PLC, Raspberry Pi RevPi Kunbus, Nokia AirScale			Software IEC 61499 (Schneider Electric Ecostruxure, Eclipse 4DIAC), IEC 61131-3 (CodeSys), OPC UA (open62541, ProSys OPC UA, FactoryIO, Visual Components, Microsoft Azure Cloud.
Name	Provider	Domains	Use-cases	Access	Testbed stage
AIOTI DLT 3.xx DLT Energy Efficiency	Location: Belgium	Cross-domain	Industrial implementations	License: n.a. Access: partner access feasible Contact: tom@viniblock.com	proof of concept
Description: Despite tremendous improvements, Distributed Ledger Technologies (DLT) continues to suffer a poor reputation when it comes to energy efficiency. This is mainly caused by the measurements taken around the Proof-of-Work consensus mechanism in the first landed protocols. Therefore, the AIOTI DLT working group agreed to set-up a series of DLT 2.xx Testbeds for the systematic evaluation of the footprint and energy efficiency of different protocols currently considered market ready.
Concept: The DLT 2.xx test campaigns are executed following International Software Qualification Testing Board (ISTQB) standards and include a state of the art benchmark methodology that includes assessing the protocols both on business impact metrics (transactions-per-second, up-time, scalability) and DLT specific metrics. The integrity of the assessments is furthermore ensured by the timeline of installations being supported by the protocol suppliers and tests being executed by objective AIOTI DLT members in the presence of protocol representatives and objective observers. The outcome of the different test campaigns comes in the form of a factual report including the different DLT protocols and performance comparisons.			Technology: Hyperledger, Ethereum, IOTA, Ripple and Cardano
Hardware On-Premise, Low-power devices, Edge & Cloud			Software DLT Toolbox combined with open source Software Testing tools and XBRL.
Name	Provider	Domains	Use-cases	Access	Testbed stage
AIOTI DLT 2.xx DLT Protocol performance	Location: Belgium	Cross-domain	Industrial implementations	License: n.a. Access: partner access feasible Contact: tom@viniblock.com	proof of concept
Description: Distributed Ledger Technologies (DLT) has emerged with the promise to establish trust and enable new business models on autonomous systems. The exact implementation and performance of the many available DLT protocols still remains to be formally assessed. Therefore, the AIOTI DLT working group agreed to set-up a series of DLT 2.xx Testbeds for the systematic and objective evaluation of different protocols currently considered market ready.
Concept: The DLT 2.xx test campaigns are executed following International Software Qualification Testing Board (ISTQB) standards and include a state of the art benchmark methodology that includes assessing the protocols both on business impact metrics (transactions-per-second, up-time, scalability) and DLT specific metrics. The integrity of the assessments is furthermore ensured by the timeline of installations being supported by the protocol suppliers and tests being executed by objective AIOTI DLT members in the presence of protocol representatives and objective observers. The outcome of the different test campaigns comes in the form of a factual report including the different DLT protocols and performance comparisons.			Technology: Hyperledger, Ethereum, IOTA, Ripple and Cardano
Hardware On-Premise, Low-power devices, Edge & Cloud			Software DLT Toolbox combined with open source Software Testing tools.
Name	Provider	Domains	Use-cases	Access	Testbed stage
AIRQ DAO AIRQ DAO Foundation vzw	Location: Brussels, Belgium	Smart cities, Climate action	Autonomous system – Air quality sensor network	License: n.a. Access: feasible Contact: tom@airqdao.foundation	Testbed
Description: The AIOTI DLT 1.02 AIRQ DAO Testbed demonstrates the convergence of IoT and DLT into an autonomous system based on the AIOTI High Level Architecture (HLA) for data markets. Co-creation, micropayments and (smart contract) revenue-splits enable a ‘self-sustaining’ and financially autonomous IoT sensor network.
Concept: The AIOTI HLA into practice. (“Co-creation & Revenue split”) Each air quality sensor integrates with the DLT network via a dedicated wallet. Local engaged citizens subscribe to notification services via micropayments. The sensor receives monthly payments, and an automated revenue split rewards the data aggregator, service providers and the AIRQ DAO foundation. If the sensor can earn its own value after two years, a smart contract orders his replacement. As such, only valuable sensors are maintained, and the network becomes (financially) self-sustainable.			Technology: Converged IoT & DLT, tokenization, micropayments, and smart contracting
Hardware Solar cells, Air quality sensors, Cloud storage and virtualization			Software Ethereum vs. Cardano
Name	Provider	Domains	Use-cases	Access	Testbed stage
BFO DAO Blue future Organization DAO	Location: Canary Islands, Spain	Farming	Farm-to-Fork, Farm-to-Finance, Climate action	License: n.a. Access: feasible Contact: kunfud@gmail.com	proof of concept
Description: The BFO DAO testbed is set to demonstrate how Distributed Ledger Technologies enables “Farm-to- Fork” in aquaculture as a foundation to enable financial instruments and investments for acceleration into the blue economy. BFO is set to provide insights into the technical layers allowing observers to properly understand how the DLT is applied into the IT stack. BFO also demonstrates the autonomous reporting mechanism with XBRL as facilitator for financial and non-financial information
Concept: BFO is a climate impact driver accelerating Macro and Micro Algae farming. Its ecosystem demonstrates a sustainable market mechanism for the Blue Economy. Secured by DLT and enabled by rapid digital transformation, aquafarms provide trusted information, take advantage of emerging technologies, and get easy access to growth finance.			Technology: Combined IoT, DLT and XBRL financial & non-financial reporting
Hardware On-Premises, Edge and Cloud combined			Software Multiple DLT protocols and XBRL financial & non-financial reporting
Name	Provider	Domains	Use-cases	Access	Testbed stage
Bovlabs DLT PoC	Location: Turin, Italy	Energy, mobility	Solarcamp project	License: Specific contract with the Camp/SNCF G/&C Access: Public project with simulators Contact: JK +82 1068276562, +33 767527808, Fabien +33 675137770	proof of concept
Description: The Bovlabs PoC is set to demonstrate Ethereum Blockchain. Proof of Authority Based Consensus; 3 million transactions recorded in the first project; 450 transactions per second are supported; Smart agents uses light nodes to transact energy transactions; Smart contracts used for trade and execution (written using Solidity); ERC 20 Tokens used for transacting energy peer to peer.
Concept: Bovlabs provides a platform to manage and control EV chargers. Our goal is to maximize utility for operators and EV owners. In doing so, charging cycles are optimized based on energy price, demand chargers, demand response programmers, along with driver inputs (for example, parking duration). Bovlabs developed an innovative system for SNCF G&C responsible for the management of EV charging stations at passenger train stations. This was done in collaboration with our partners - Nissan, Accenture, the Camp and VINCI Energies - specifically including V2G capabilities. The results were significant - bring more cost effective and optimized - giving rise to greener and more attractive EV charging services.			Technology: Ethereum Blockchain; Proof of Authority Based Consensus; Microservices Architecture; Using Spring Boot and Spring Cloud; Java, Python, Nodejs; MySQL; REST; ML; OCPP 1.6; Web apps.
Hardware Bovlabs Smart Agent - Our smart agents integrate with any DERs (like solar, battery storage, EVSE) to record secure P2P energy transactions within the blockchain node embedded within the agent. This creates a distributed, decentralized dataset and with distributed intelligence at edges (ML) creates Virtual Power Plants.			Software Our solution helps to build a sustainable EV charging station by reducing its OPEX by 20-30%. We integrate with EV charging stations and optimize cost through smart charging and P2P energy trading. Our algorithm uses Peak/Off peak Demand, Energy Prices, Parking utilizations, Renewable energy integration, Grid events (TSO/DSO) and creates a unique charging profile.
Name	Provider	Domains	Use-cases	Access	Testbed stage
CareCardio CareCardio by Astea Solutions	Location: Sofia, Bulgaria	Health	Remote care, Medical self assessment, Digitalizing device readings where IoT is not available	License: Access: by demand Contact: Joro Penchev, jpenchev@asteasolutions.com	deployed testbed
Description: CareCardio provides proprietary tech for best in class automated digitalization of medical devices paper printouts. It handles use cases of remote patient care where IoT-enabled devices are not available or the patient doesn't have control over how medical information is provided. It works with all sorts of lighting, phone camera and other user-centric means, with very high degree of fidelity and translates the picture to standard ECG and BP formats. CareCardio is published as a fully functional testbed, with the vision of a larger set of small-scale software solutions that follow a modular approach to solve technological problems and particular use cases in remote-care and point-of-care health-tech ecosystems and is open to all sorts of partnerships.
Concept: The app provides digitalization of paper printouts or other photo images of cardiovascular medical devices readings (blood pressure, ECG, etc.) where IoT readings are not available. The data is being stored on a personal cloud account with tokenized permissions. It is currently being extended with other types of medical data readings, as well as a web dashboard that connects by API to any sort of clinician software. The primary concept of CareCardio and its parent suite of tools is to provide modular solutions to particular technology problems in larger partner solutions in the health-tech ecosystem.			Technology: Computer Vision, Medical Data Digitalization, Proprietary Algorithm
Hardware handles readings from all commercial ECG (cardiovascular health) and blood pressure devices			Software Android, iOS
Name	Provider	Domains	Use-cases	Access	Testbed stage
CERTH-HIT SMARTMLAB CERTH-HIT Thessaloniki Smart Mobility Living Lab	Location: Thessaloniki, Greece	Smart Cities, Mobility	Real time traffic data in Thessaloniki (cars and trains); fleet management, etc.	License: Microsoft 365, PowerBI, Visual Studio 2019 Enterprise, SQL Server 2017 Enterprise, Hyper-V Manager, Android Studio, Visum, SUMO, MATLAB and others depending on the activities Access: feasible Contact: jose@certh.gr	Testbeds
Description: Thessaloniki Smart Mobility Living Lab aggregates data from its local eco system in Thessaloniki via different types of sources. Through the fusion of the various datasets, new technologies, mobility services and prototype applications for passengers and vehicles are implemented.
Concept: Data collection and fusion, Data storage and processing, Data Analysis, models, and visualization simulation. Mobility services and prototype applications for passengers and freight vehicles			Technology: Transport simulation, Discrete Event simulation, Machine Learning, Deep Learning, Digital Twin, Big Data, Artificial Intelligence, Operational Research, Software & web development, Data basis, Object orientated programming languages (Python, .Net), MATLAB.
Hardware n.a.			Software Smart sensors, Big data analytics tools, Modeling and simulation environments, transportation models algorithms, Open data platform (HIT Open Data portal).
Name	Provider	Domains	Use-cases	Access	Testbed stage
FN LABS Digital Catapult Future Networks Lab	Location: United Kingdom	Smart Cities, Health	n.a	License: Access: Contact: Maria Fonseca, maria.fonseca@digicatapult.org.uk
Description: Future Networks Lab brings together network, services, platform, and solutions providers in a technology-neutral space to experiment with IoT and 5G technologies. The network has enabled over 700 innovators to experiment with IoT technologies, leading to new products and services being brought to market in the UK and abroad.
Concept: Digital Catapult has partnered with Siemens, IBM, Arrow and Servicenow to support the UK’s dedicated facility for leading edge network technologies, the Future Networks Lab. Alongside some of this industry’s leading players, we are helping companies of all sizes access the latest networks technologies, development opportunities and advice for practical adoption, all to help de-risk innovation and show how these technologies can be rolled out in practice, not just in theory.			Technology: 5G, LoRaWan, Sigfox, NB-IoT, Nwave.
Hardware 5G London node, UK 5G testbeds, including 5G Brighton.			Software 5G core, MEC, etc
Name	Provider	Domains	Use-cases	Access	Testbed stage
DNET Optimal Chicken Farm Management	Location: Novi Sad, Serbia	IoT, AI/ML, Poultry, Agriculture	Poultry production management, Animal wellbeing	License: Annual SaaS license. Other arrangements for research purposes are possible. Access: Remote Contact: srdjan.krco@dunavnet.eu, Srdjan Krčo; senka.gajinov@dunavnet.eu, Senka Gajinov	Deployed testbed
Description: The objective of the testbed was to deploy and validate a platform for integrated poultry farm management with the focus on preserving the wellbeing of the chickens and establishment of a transparent agri-food supply chain. A set of IoT devices is installed on two poultry farms in Serbia to collect relevant data (environmental conditions, machine operational status, chicken behavior) that is processed using ML/AI based algorithms to generate advices and recommended actions to optimize the growing conditions, enable early stress detection and improve farm operations. The main benefits for the farmers stem from the comprehensive and continuous insights into the production process that lead to improving animal welfare, production optimization and better product quality.
Concept: IoT, cloud, web, ML/AI			Technology: Computer vision, domain-focused data analytics
Hardware IoT devices equipped with sensors for measuring air temperature, air humidity, CO2, NH3, air flow, light intensity, video cameras, microphones, edgeML gateway, LoRaWAN gateway			Software poultryNET – a cloud-based solution for data gathering and ML/AI based analysis that enables comprehensive activity management and monitoring.
Name	Provider	Domains	Use-cases	Access	Testbed stage
DWF DLT COMMSUSDEV DeWaardeFabriek DLT COMMSUSDEV	Location: Tilburg, Netherlands	Smart cities, climate action, community building	Community sustainability development, supported by IoT solutions (CommSusDev)	License: n.a. Access: feasible Contact: erik@dewaardefabriek.nl	proof of concept
Description: The DWF DLT Testbed is set to demonstrate the value, reliability, and scalability of converging IoT and DLT solutions in real-life community sustainability development. The solutions sought after should be scalable, open source, GDPR-proof and to be defined. Use-cases range from large-scale home retrofit to low-energy, high comfort and health homes, comfort and health performance tracking and control, smart contract execution of comfort and health performance, green infrastructure performance tracking incl. smart contracting, social interaction support smart support solutions to increase resident-based micro-exchange of products and services
Concept: Large-scale homes retrofit funding includes tokenization of real estate, comfort and health monitoring and related smart contracting. Increase social cohesion through increased social participatory exchange, i.e. neighbors are encouraged to share their needs and/or offers (products, services etc.) to help each other out, engage low-income people to participate through earning value for the service they offer (valorized / non-valorized). Several aims. Increase social interaction through helping, increase resource use (=reducing consumption) through lending/sharing.			Technology: Converged IoT and DLT, tokenization, micropayments, smart contracting
Hardware Solar cell, heat pump, ventilation system, air quality sensor, health sensor, cloud storage, virtualization			Software To be defined
Name	Provider	Domains	Use-cases	Access	Testbed stage
FIWOO Emergya FIWOO IoT Platform	Location: Seville, Spain	Smart Cities, Agriculture, Manufacturing, Health, Logistics	Smart dashboards - Fiwoo	License: Contact Emergya. Access: feasible Contact: mgimenez@emergya.com	Testbed
Description: FIWOO, the first IoT-Editor platform based on FIWARE in the market, that helps you to design your IoT ecosystem thanks to a Cloud platform with a simple user interface. It allows the connection of your data, applications, devices, sensors and all kinds of hardware, in a single environment. FIWOO is a horizontal, open, modular, scalable, robust, secure, interoperable, and integrating platform based on FIWARE for the management of applications and IoT services. The IoT-Editor implies that the user is the center of the whole ecosystem. Following the ‘no-code’ philosophy, FIWOO makes its full potential available to you with powerful visual tools and simple wizards that allow you to create verticals and components without launching a single line of code.
Concept: FIWOO is the first IoT-Editor on the market, which allows users to create any entity within the whole system without the need for computer knowledge. Everything you see can be created without a single line of code. Any user can create their panels, connect their devices, and even generate intelligent rules through a simple graphic interface.			Technology: Open platform based on an open source, supported by a large community and endorsed by European Union; end-to-end encryption; micro-service architecture; catalogue of indicators based on UNE 178202 and UNE-ISO 37120.
Hardware FIWOO connects to any type of IoT device			Software FIWARE is an open-source initiative backed by European Commission and the universal standard for the development of intelligent solutions and services.
Name	Provider	Domains	Use-cases	Access	Testbed stage
fortiss IIoT fortiss Industrial IoT Lab	Location: Munich, Germany	Manufacturing, Energy, Smart Cities, Logistics, etc.	BFThing (OT-IT automated integration); TSMatch (IoT data to service automated matching); TSNWiFi (Wired/Wi-Fi 6 industrial networking with TSN capabilities); Mobilek8s (Dynamic container orchestration); IoT-ICN (Decentralised Publish-Subscribe Communication for IoT)	License: open-source, Eclipse, GPLv2, GPLv3, MIT Access: Yes, locally, and remotely Contact: Rute C. Sofia, sofia@fortiss.org	Testbeds
Description: The IIoT Lab has as motivation to be an experimental and training interoperable and open playground for fortiss, and for partners (academia and industry). The IIoT Lab comprises a set of demonstrators that, interconnected, provide an end-to-end perspective of mechanisms that are useful in the context of Industrial IoT. The aim of the concepts integrated in the lab relate to the exploration of novel communication and computation architectures to deploy and orchestrate heterogeneous and decentralized services and resources efficiently, robustly, and possibly predictively.
Concept: Open, interoperable lab for next generation IIoT applications and systems. OT-IT interoperability aspects; automated data matching between IoT sources and IoT services; industrial networks based on wired/TSN and Wi-Fi 6 (scheduling and time synchronization); dynamic container orchestration (based on ML); ICN			Technology: Wi-Fi 6/Wi-Fi7; TSN/Ethernet; Web of Things/OWL/semantic technologies; IoT communication protocols and architectures, e.g., OPC UA, MQTT, AMQP, ICN.
Hardware IoT IP-enabled devices, e.g., sensors, Raspberry Pis with sensors, Beaglebones, etc.; Festo stations; Mobile robots; Wi-Fi 6 enabled APs (Intel NUC AX200/201; Xiaomi AR 3600, UP Core) and stations; TSN switches; end-user devices, e.g., smartphones, tablets, laptops; cameras.			Software Specific open-source software developed by fortiss for each use-case; TSN Linux; OPC UA; MQTT brokers; Mendix; Named data networking; Pytorch; k8s/Docker.
Name	Provider	Domains	Use-cases	Access	Testbed stage
fortiss MLAB fortissimo Mobility Lab	Location: Munich, Germany	Automotive, Aerospace, Health	Complex, safety-critical cyber-physical systems; Model-based systems engineering, incremental integration testing; fault-injection testing.	License: LGPL v3.0 (Simulation) Access: Yes (Simulated online; Physical on-site) Contact: Tiziano Murano munaro@fortiss.org	Testbeds
Description: The fortissimo Mobility Lab demonstrates how model-based systems engineering (MbSE) concepts can be leveraged to design and implement safe, adaptive, and reliable software and system architectures within a flexible development process. The demonstrator platform includes physical rovers as well as their digital twins. The fortissimo Rovers are based on heavily modified scale 1 to 10 RC cars, equipped with a LIDAR, ultrasound sensors, and an RGB camera. The fortissimo Simulation closely replicates the dynamics and sensor properties of the physical rovers using the Gazebo simulation environment, while providing a standardized interface for their behavior specifications by means of the FMI standard. In both cases, the automotive use case includes advanced driver assistance systems (ADAS) and autonomous driving (AD) functions. The fortissimo Mobility Lab is unique in its ability to demonstrate the model-based engineering of safety critical cyber-physical systems – from its conception to its verification and validation.
Concept: MBSE concepts for designing (e.g., the SPES methodology), developing (e.g., product line management), integrating (e.g., Co-Simulation), and testing (e.g., defect-based testing) complex cyber-physical systems.			Technology: AutoFOCUS3; co-Simulation by means of the Functional Mock-up Interface (FMI)
Hardware Converted RC cars (scale 1:10); Raspberry Pis, Tinkerforge sensor and actuator platform (ultrasound, lidar, engine management unit), 3D-Printed hardware racks, RGB cameras, Microsoft Xbox Bluetooth controllers.			Software (Simulated) FMI, ROS, Gazebo, FMI adapter for ROS. (Physical) AutoFOCUS3, Ansible, Ubuntu, custom drivers, libraries, and glue code linking generated code to the target hardware.
Name	Provider	Domains	Use-cases	Access	Testbed stage
fortiss NMLAB fortiss Neuromorphic Lab	Location: Munich, Germany	Manufacturing; Space; Health	Mobile Robotics, Space, Human Machine Interfaces, Machine Vision; Adaptive swimming robot control, Neurorobotics simulation.	License: Apache Access: Yes, locally, and remotely Contact: Axel von Arnim, vonarnim@fortiss.org	Testbeds
Description: The Neuromorphic Lab showcases one use case of neuromorphic computing, namely in mobile robotics. In this use case, a Lamprey like robot is being controlled by a spiking neural network over neuromorphic hardware (the experimental Loihi chip from Intel). The robot is swimming in simulation, controlled by a network powering a series of coupled oscillators that move each joint in a coherent manner, over super low energy hardware. This demonstrator proves the potential of neuromorphic hardware in edge AI applications where energy efficiency is a key factor. Further use cases, like industrial robotic arms, low-latency event-based vision, in-car human machine interaction is investigated by the Neuromorphic Computing team.
Concept: The Lamprey like robot controller has been trained with the Neural Engineering Framework (Nengo) to generate oscillations at its links that generates an efficient swimming movement. In the Lab, a recorded sequence of controller action is replayed live, enabling the user to visualize the robot while moving in real time, to navigate through the scene, observe the neural network activity.			Technology: Robotic simulation, neuromorphic hardware, central pattern generation, Hopf oscillators, Neural Engineering Framework
Hardware Intel Loihi experimental neuromorphic chip			Software Neurorobotics Platform, Gazebo Simulator, ROS, Nengo
Name	Provider	Domains	Use-cases	Access	Testbed stage
fortiss ROBLAB fortiss Robotics Lab	Location: Munich, Germany	Manufacturing	Intuitive instruction of robot systems; Robot program synthesis from declarative goal specifications; Autonomous manufacturing execution systems; Automated anomaly detection.	License: Depends on the case – contact for further information. Access: true Contact: Alexander Perzylo, perzylo@fortiss.org	Testbeds
Description: The fortiss Robotics lab is focused on research and innovation on robot-based automation solutions and collaboration with interested stakeholders. It aims at addressing real-world problems and transferring the latest academic achievements into industrially relevant demonstration platforms and use cases. The implemented showcases are used to evaluate, validate, and disseminate research results to a broad audience ranging from industrial partners and other academic institutions to interested students. They further act as an open platform for discussions and joint developments on applied research. The focus is on robotic systems engineering, in particular the intuitive instruction of robot work cells, the semantic interoperability of manufacturing resources for knowledge-based autonomous production, as well as model-based software development for robotics. Within the fortiss Robotics Lab, experiments are conducted that serve to validate theoretical research results.
Concept: Development of ontology-based semantic description languages for formal representation of automation knowledge, automatic reasoning components for interpreting semantic models, semantic digital twins of manufacturing resources, novel approaches to intuitive robot programming and work cell (re)configuration; autonomous manufacturing execution systems.			Technology: RDF, RDF-S, OWL, OWL reasoners, SPARQL, SHACL, ROS, OPC UA, UA node set information modeling, graph databases.
Hardware Universal Robots UR5s, Kuka LBR iiwas, various vacuum and 2-finger parallel grippers, tool changers, automatic spindle system, F/T sensors, 2d/3d cameras, robot-mounted RGB projectors, 3D printers for rapid prototyping.			Software Neurorobotics Platform, Gazebo Simulator, ROS, Nengo
Name	Provider	Domains	Use-cases	Access	Testbed stage
fortiss S-ENERGY fortiss Smart Energy Lab	Location: Munich, Germany	Energy, Mobility	Energy Management Systems, Energy System Modelling, Energy System Simulation and Optimization	License: Apache 2.0, GPLv3 Access: true Contact: Dr. Markus Duchon, duchon@fortiss.org	Testbeds
Description: The fortiss Energy Lab, demonstrates research results and challenges related to current and future developments in the field of energy systems. The available demonstrators deal with various application cases and show how real problems can be addressed with findings from science and research and allow them to be presented to a wide audience in an easy-to-understand and vivid way The demonstrators are continuously developed and adapted to current problems. With our lab environment we address existing challenges in the context of research and industrial projects or in the form of student and scientific work. In the fortiss Energy Lab, we work on topics such as the modeling of software systems, into the physical aspects. Here, we investigate opportunities and methods for designing and modeling complex systems as a basis for optimization, monitoring and control, in which the modeling of physical context and prognosis techniques from the area ML/KI are applied. Another focus area deals with evaluating system behaviors and optimizing energy systems. By using our co-simulation environment, hardware in the loop experiments can be conducted and the interactions and control mechanisms of cooperating systems can be analyzed and evaluated.
Concept: Open, software-based monitoring and control of decentralized energy systems. Architectures, communication, and home automation protocols. Modelling and (co-)simulation of complex energy systems.			Technology: SESSIM, openEMS/iEMS, Matlab/Simulink, SGAM, SCADA, openAI gym, OPC-UA, EnOcean, Modbus, MQTT
Hardware Enocean sensors and actuators, IPSwitch, Pac Sentron electricity meters, Smart electric thermal storage (PCM based), electricity storage (LiFEPO4), thin-layer photovoltaics, solar logger			Software fortiss software (service-oriented architecture for critical infrastructure monitoring, iEMS) or openEMS, Co-Simulation environment (SESSIM)
Name	Provider	Domains	Use-cases	Access	Testbed stage
FhG IIS L.I.N.K Fraunhofer IIS L.I.N.K. - Positioning - Identification - Navigation Communication	Location: Nürnberg, Germany	Industry/Logistic, manufacturing, Smart City, Health, automotive	Industry 4.0; intra-logistics; vehicle access systems, advanced driver assistance systems (ADAS); sports tracking; validation	License: Depends on the case – contact for further information. Access: true Contact: Dr. Wolfgang Felber, wolfgang.felber@iis.fraunhofer.de; Nicolas Witt, nicolas.witt@iis.fraunhofer.de	Testbeds
Description: In the “L.I.N.K. Test and Application Center” at its Nuremberg location, Fraunhofer IIS provides a realistic and application-oriented environment for developing, demonstrating, and evaluating pioneering technologies and applications in the fields of positioning, identification, navigation, and communication. It contains of various reference positioning systems including a 5G campus network to evaluate new communication and localization aspects of actual standardization discussion.
Concept: Positioning for IIoT; indoor/outdoor/seamless positioning for logistic applications (including a truck drive through and loading ramps.			Technology: 5G campus network installation, large volume motion capture, precise motion reference systems, automatic measurement campaigns (robots).
Hardware Interior space of almost 1400m2 (44m x 33m x 9m) and outdoor space of almost 10000 m2; whole volume 3D- positioning system (robot); 6DOF reference systems; iGPS (submillimeter accuracy), Qualisys (large volume MoCap, 30x20x6 m); Synchronized Reference IMUs, XSens, cometa Wave Track; Automated test setups for large scale, repeatable testing; 5G campus network; grandmaster clock.			Software PTP, NTP; Qualisys Track Manager 2021.
Name	Provider	Domains	Use-cases	Access	Testbed stage
GIFT e-Ferry Decarbonise the energy mix of islands with e-Ferry	Location: Hålogaland, Harstad, Norway	energy, flexibility offer, powergrid, battery	charging strategy, price strategy, European eneergy market	License: Various, based on platforms used and horisontal services provided Access: true Contact: asbjorn.hovsto@hafenstrom.com flsveen@online.no	use-case
Description: harbour energy flexibility monitoring service for decrease carbon emissions from energy systems through more energy-efficient load management and increase local renewable energy supply.
Concept: Allow for adjustment of effect and energy consumption when energy prices are low, or power grid suffers from high load. Remote operations manage chargers, reduce power spikes from high energy demand when docked, improving decarbonising potential. Integration between Virtual Power Server and charging point to include ferries and port facilities are part of the energy market ecosystem for buying, selling and auctioning load capacity.			Technology: energy flexibility, smart grid, load balancing, peak shaving, shoreside power management, energy management system, virtual power server, harbour energy management, electric ferry
Hardware charger, cable, battery, sensors, electric ship, electric ferry			Software cloud hosting, OCPP, digital twin, virtualisation, panel
Name	Provider	Domains	Use-cases	Access	Testbed stage
HUAWEI EDGE Huawei Edge Computing OPC UA over TSN Testbed	Location: Munich and Berlin, Germany	Manifacturing	TSN based OT and IT converged industrial automation networks; IEC 61499 and TSN for smart manufacturing; Edge-Cloud Synergy AI (Kubeedge, Atlas etc.)	License: n.a Access: true Contact: konglingbo@huawei.com	Testbeds
Description: Converged OT and IT network through TSN technology, carrying heterogeneous traffics, such as automation control, optical inspection, and video surveillance, from the field to the edge. Both the need of Time-critical control traffic and bandwidth consuming traffic can be met. Edge AI for industry using IEF framework for deployment and IEC 61499 for industry component integration.
Concept: Heterogeneous traffics (Automation control, video, events) and industrial protocols (OPC UA, IEC 61499, Modbus-TCP) carried on the unified TSN network, where the delay and reliability requirements can be met by centralized auto-configuration.			Technology: TSN data plane using combined Priority/Time-aware scheduling and shaping; TSN control plane integrated with network calculus algorithms; brownfield device compatibility solutions; Edge AI integrated industrial automation control.
Hardware TSN-IP switches (S67xx; S57xx); Edge computing gateway (AR502H); Any-to-ETH gateway prototype; Miniature automobile production line; Automated Optical Inspection and video surveillance cameras.			Software OPC UA supervisory control; IEC 61499 controller; TSN centralized controller; Network Calculus algorithm; Kubeedge; Mindspore (for AI)
Name	Provider	Domains	Use-cases	Access	Testbed stage
Citylab Citylab Testbed	Location: Antwerp, Belgium	Smart Cities, Wireless Communication, IoT, Cross-domain	n/a.	License: https://doc.lab.cityofthings.eu/wiki/Usage_Policy Access: local and remote Contact: admin@lab.cityofthings.eu	deployed testbed
Description: The UAntwerpen/IMEC Citylab testbed is a wireless testbed deployed outdoors in the city center of Antwerp. It is ideally suited for the experimentation with- and validation of- wireless technologies, protocols and solutions under real-life operating and interference conditions. Citylab supports a wide range of wireless technologies, including IEEE 802.11 a/b/g/n, IEEE 802.15.4, Bluetooth Low Energy and LoRa(WAN) but ultimately it is up to the experimenters to decide what specific radio interfaces and technologies they want to use and what software/firmware to run on the nodes. Citylab contains 30 nodes that are deployed outdoors in the streets and on roof tops in a 0.5km by 0.5km area around the city campus of the University of Antwerp and 5 indoor nodes deployed at campus middelheim.
Concept: In-vivo development and validation of wireless solutions under real-life city-scape operating and interference conditions.			Technology: IEEE 802.11 a/b/g/n/ac, IEEE 802.15.4, Dash7, LoRa(WAN), Bluetooth Low Energy, Edge Computing, ...
Hardware Embedded PCs (PCEngines APU2), Ath9k, Ath10k, OpenUSBs, EFM32GG+RFM95W, EZR USBs			Software Linux, Openmote, Dash7, LoraMAC, ...
Name	Provider	Domains	Use-cases	Access	Testbed stage
Homelab imec Homelab	Location: Ghent, Belgium	Cross-domain	e-Health (incl assisted living), energy monitoring & optimization, indoor air quality monitoring, Validation of IoT technology for domestic use cases	License: https://doc.ilabt.imec.be/ilabt/usagepolicy/index.html Access: local and remote Contact: helpdesk@ilabt.imec.be	deployed testbed
Description: The imec/UGent HomeLab is an actual standalone house offering a unique residential test environment for IoT services and smart living. A wide range of IoT technologies are deployed, and set-up flexibility to add new devices is offered by means of technical corridors, hollow floors and ceilings. The HomeLab team supports innovation at different stages from concept and co-creation with potential users, to early proof-of-concept testing in a real living environment. Supporting software tools and methods for integration, interoperability, data captation, sensor fusion are available. Application domains can be care, comfort, energy, mobility, media, safety, etc. Personalisation and contextualisation of future services for the realisation of the ‘intuitive home environment’ is a key research focus. As such the HomeLab offers a unique co-innovation space for industry, research groups, non-for-profits and other stakeholders involved in the realisation of future living concepts.
Concept: key technological blocks supported			Technology: An open Home Automation system based on VelBus and OpenHab technology is installed, able to control all functional elements (screens, switches, doors, windows, etc) in the house. In view of sensors, actuators and user interfaces different off-the-shelf technologies and relevant standards (EnOcean, Grove, UPnP, ZWave, ZigBee, Hue…) are at hand.
Hardware Many IoT devices( EnOcean, Grove, UPnP, ZWave, ZigBee, Hue), Softbank’s Nao and Pepper robot, prorietary air quality sensors (CO2), ...			Software OpenHab/Home Assistant, Data capturing platforms
Name	Provider	Domains	Use-cases	Access	Testbed stage
IIoTLab imec Industrial IoT lab	Location: Ghent, Belgium	Cross-domain	Industrial use cases including IoT technology and cobots/AGVs/conveyor belts	License: https://doc.ilabt.imec.be/ilabt/usagepolicy/index.html Access: local and remote Contact: helpdesk@ilabt.imec.be	deployed testbed
Description: The Industrial IoT lab is an advanced test environment created to accelerate R&D in production and warehousing IoT technology. Located in Ghent, Belgium; the lab offers 300m2 of open experimentation space to foster regional and international co-operations in Industry 4.0 with a focus on smart and connected industries. Our research activities intersect robotics, machine learning, localization and wireless, and cloud computing.
Concept: key technological blocks supported			Technology: 802.11a/g/n/ac, 802.15.4, Bluetooth, UWB, Edge / Cloud computing
Hardware GPU servers, Embedded PCs (Intel NUC), Zolertia ReMote with UWB shield, Universal Robot UR-3 cobot arm, Franka Panda arm cobot,high-precision 1m diameter turntable, 2m linear conveyors, drones, AGVs, high precision IR positioning system			Software Ubuntu, ath9/10/11k, Contiki, Linux, custom drivers, libraries
Name	Provider	Domains	Use-cases	Access	Testbed stage
Officelab imec Officelab testbed	Location: Ghent, Belgium	Cross-domain	indoor localization & navigation, air quality monitoring, employee wellbeing, automated visitor guidance (robots/AGVs)	License: https://doc.ilabt.imec.be/ilabt/usagepolicy/index.html Access: local and remote Contact: helpdesk@ilabt.imec.be	deployed testbed
Description: In the office location, several floors of the building are transformed into a real-life office lab. Wireless and wired sensor technology is deployed, and is open for research on tomorrow’s smart office applications for optimizing work spaces, visitor’s experiences, workers’ comfort, etc. The involved floors are equipped with 40 Intel NUC nodes, supporting several WiFi and sensor technologies. This offers an overall, mutlifloor testbed for distributed intelligence over 150+ nodes in real Office environment. Next to this the OfficeLab offers a unique real life experimental environment for development and testing of smart services based on IoT sensors and actuators. Specific interest of the IDLab research team goes to the use of social robots that are aware of the actual context and their environment based on continuous interaction with the surrounding IoT infrastructure.
Concept: key technological blocks supported			Technology: 802.11a/g/n/ac, 802.15.4, Bluetooth, UWB, Edge / Cloud computing
Hardware Embedded PCs (Intel NUC), Zolertia ReMote with UWB shield, various environment sensors (temperature, humidity, loudness, gas, CO2, ...)			Software Ubuntu, ath9/10/11k, Contiki, Linux, custom drivers, libraries
Name	Provider	Domains	Use-cases	Access	Testbed stage
IMEC Smart Highway imec Smart Highway Testbed	Location: Antwerp, Belgium	Smart Roads, Transport, Connected Mobility, 5G	5G, V2X, Edge computing, Localization	License: Depends on the case – contact for further information. Access: local and remote Contact: johann.marquez-barja@imec.be, Johann Marquez-Barja	deployed testbed
Description: The IMEC Smart Highway Testbed is a 5G-capable Vehicle-to-Everything (V2X) testbed deployed at the E313 Highway in Antwerp. It contains 7 Road-side units (RSUs) mounted in the gantries over the highway as well as a number of vehicle-mounted Onboard Units (OBUs). Every RSU and OBU is equipped with radios for communication via the ITS-G5 and C-V2X V2X-standards. In addition they are each also equipped with a powerful local 'compute unit' and an SDR (USRP N310 in the RSUs, B210 in the OBUs). These not only enabled 5G-capabilities in the testbed but also enable experimentation with edge computing use cases and with new and upcoming communication standards. The testbed is also equipped with high-precision GNSS receivers (accurate to within 1cm, 5ns). These not only support the various V2X use cases but also serve as a useful baseline in the development of new localization technologies.
Concept: In-vivo experimentation with- and development and validation of- current and new 5G, V2X, edge computing and localization technologies.			Technology: ITS-G5, C-V2X, Edge computing, 5G
Hardware Supermicro servers, Intel NuC, USRP B210/N310, Cohda MK5, Cohda MK6c, Septentrio m2a GNSS receivers			Software Linux, Docker, K8S, LXC, OAI
Name	Provider	Domains	Use-cases	Access	Testbed stage
IMEC w-iLab.t imec w-iLab.t wireless testbed	Location: Ghent, Belgium	Cross-domain	use-cases supported	License: https://doc.ilabt.imec.be/ilabt/usagepolicy/index.html Access: local and remote Contact: helpdesk@ilabt.imec.be	deployed testbed
Description: The w-iLab.t generic wireless testbeds consist out of embedded PCs in a pseudo shielded environment that are equipped with multiple wireless interfaces, including 802.11 a/b/g/n/ac, Bluetooth, IoT sensor nodes with 802.15.4 interfaces and user-defined and cognitive radios. It is up to the experimenters to determine which interfaces will be used, and what software/firmware is installed on the embedded PCs and/or sensor nodes.w-iLab.t 1 contains 44 nodes in a 30m x 10m datacenter. w-iLab.t 2 contains 100+ fixed nodes and 16 robots in a 60m x 20m room for high density and mobile experiments.
Concept: key technological blocks supported			Technology: 802.11a/g/n/ac/ax (WiFi6), 5G, 802.15.4, UWB, mobile AGVs, Edge / Cloud computing
Hardware Embedded PCs (Zotac, Intel NUC), SuperMicro server, USRP (x310, N210, B200, B210), Zolertia ReMote, 2xLTE femto cells (with EPC core), Android smartphones			Software Ubuntu, ath9/10/11k, Contiki, Linux, TSN, custom drivers, libraries, GNUradio, srsLTE
Name	Provider	Domains	Use-cases	Access	Testbed stage
ITI DATAROOM	Location: Valencia, Spain	Manufacturing	Multilevel energy monitoring; Horizontal and vertical data integration; big data analytics; 3D quality control; Digital twining; VR logistics laboratory; AR in warehouse management	License: Free Access for demonstration. Pay per use for experimentation Access: true Contact: innovacion@iti.es	Testbeds
Description: DATAROOM is a Laboratory for demonstration and experimentation with Data for Industry 4.0, consisting of flexible manufacturing cells, robotics, automated warehouses, quality control. DATAROOM is the result of integrating all the results ITI is generating around industry 4.0 in one site. Its mission is to help companies to understand how to collect, manage and exploit Data in a production plant, and which tools and applications are available for it.
Concept: Complete Data Cycle, Data Collection, Data Communication, Data Integration and Storage, Data Analysis, Data Simulation. Applications in predictive maintenance, anomaly detection, energy efficiency.			Technology: WSN, IIoT, OPC-UA, Machine Learning, Deep Learning, Digital Twin, Big Data, Cloud Computing, Artificial Intelligence, Edge Computing, VR/AR.
Hardware Modular production system (CP Factory); Robot Assembly Cell with Mitsubishi RV-4FL, Industrial Inspection cell (Zero Gravity 3D); AGV (Robotino); AR glasses			Software Festo MES, collaborative robot by MITSUBISHI, Radiatus by ITI https://radiatus.iti.es/, Data Hub by ITI https://datahub.iti.upv.es/, Deploids https://www.deploids.com/ by ITI; Zerogravity3D https://www.zerogravity3d.com/en/ by IT; IIoT protocols, e.g., Profinet, OPC UA, MQTT, etc; Kafka; multiple file formats, etc.
Name	Provider	Domains	Use-cases	Access	Testbed stage
LINKS DLT DH Links DLT Digital Handshake	Location: Turin, Italy	Society	A decentralized solution for transparent and frictionless digital handshakes	License: false Access: true Contact: Alfredo.favenza@linksfoundation.com, Giacomo.corrias@linksfoundation.com	proof of concept
Description: The AIOTI DLT 1.10 LINKS DIGITAL HANDSHAKE Testbed is set to demonstrate a blockchain platform aiming at helping gig economy workers to conduct business transactions with untrusted parties by leveraging smart contracts and dispute resolution mechanisms. The solution exploits the intrinsic benefits of DLTs to guarantee a verifiable process with automated payment and fair dispute resolution. The dispute resolution mechanism leverages a custom token and a decentralized escrow service to guarantee a fair and fast completion of the business transaction. The prototype is built on top of the EOSIO blockchain platform.
Concept: A blockchain-based solution for making digital handshakes guaranteeing transparency on identity, code, and payments. Building a new form of trust in the digital handshake process (from platform to code) through an EOSIO blockchain-based solution. Fair and decentralized dispute resolution with a pseudo-random selection of jurors for reducing the cost-benefit ratio. Automatic token payments through a decentralized and bulletproof escrow service.			Technology: Smart contracts, tokenization, DLT-based dispute resolution.
Hardware			Software Open Repositories https://github.com/Innovation-Advisory-Links-Foundation/DigitalHandshake-Backend https://github.com/Innovation-Advisory-Links-Foundation/DigitalHandshake-Frontend
Name	Provider	Domains	Use-cases	Access	Testbed stage
LinksRE Links DLT Reclothes	Location: Turin, Italy	Society	A decentralized solution for second-hand clothes recycles in the fashion industry	License: false Access: true Contact: alfredo.favenza@linksfoundation.com Giacomo.corrias@linksfoundation.com	proof of concept
Description: RECLOTHES is a DLT testbed is set to demonstrate a blockchain-based solution (built on top of Hyperledger Besu) favoring the second-hand clothes recycles in the fashion industry. Reclothes allows a company operating in the fashion sector to implement a decentralized, transparent, and secure mechanism to record information relating to business relationships among partners and people interested in selling their second-hand clothes and/or buying second-hand upcycled clothes. To promote cooperation in the circular economy process, the solution implements a “double incentive” mechanism by adopting two different fungible token implementations. Leveraging private transaction processing tools, the consortium partners can define their commercial agreements and carry out transactions in confidence, without releasing any information unauthorized third parties.
Concept: A decentralized solution for second-hand clothes recycles in the fashion industry. Designed as an enterprise blockchain-based network on Hyperledger Besu; allows confidential transactions visible only among business partners while keeping a transparent public history of quantities, processes, events, and payments; encourages individuals' participation in the circular economy through a double-incentive using two ERC20 token implementations, automating payments and rewarding mechanisms; provides a public interface for people who wants to support the eco-friendly fashion industry by sending second-hand clothes and/or buying upcycled clothes.			Technology: Smart Contracts, Tokenization
Hardware			Software Open Repositories https://github.com/Innovation-Advisory-Links-Foundation/ReClothes-Backend https://github.com/Innovation-Advisory-Links-Foundation/ReClothes-Frontend
Name	Provider	Domains	Use-cases	Access	Testbed stage
Norgren Smart Pneumatic Valve Island Use-case	Location: Birmigham, United Kingdom	Manufacturing	Any OEM machine	License: IP protected, patent pending Access: local and remote, based on a specific agreement Contact: chris.patient at imi-precision.com, francesca.dematteis at imi-precision.com	use-case
Description: pneumatic smart valve island with integrated sensing capabilities, edge data processing; local (on-local-display and/or PLC) and/or remote data visualization, including on the cloud. Currently, product in prototype phase; physical demo rig available. Patent pending. Helping customers keep operational costs low by monitoring the whole pneumatic system (up-and-down-stream); helps avoiding downtime, identifying, predicting faults and provide advice on how to fix them; predicting components end-of-life and help users replacing faulty products fast; also helps keeping costs low by monitoring compressed air consumption, identifying, and stopping leakages. Ideal product for any OEM, particularly on machines where pneumatics is critical. Suit any sector and any application. Modular and flexible solution to suit virtually any specific customer need, thanks to a ‘pick-and-choose' style menu of features and intelligent capabilities.
Concept: Use case for smart pneumatics, starting from the very heart of a pneumatics system, thus the valve island. Test & learn about AI, machine learning, 5G, wireless technology, APIs.			Technology: 5G, AI, wireless technology
Hardware Pneumatic valve island with integrated sensors, measuring pneumatics KPIs, (e.g., pressure, flow), predicting life cycle, monitoring air consumption, monitoring components up-/down-stream, faults identification; IIoT gateway (OPC-UA and MQTT communication).			Software Software solutions (e.g., dashboards, algorithms, smartphone app) to provide actionable insights and pneumatics utilization best advice
Name	Provider	Domains	Use-cases	Access	Testbed stage
OULU 5G/6G Oulu University 5G/6G Test Network	Location: Oulu, Finland	ICT; Energy; Manufacturing	Wireless connectivity and beyond for Smart Campus, Energy, Smart Living, Robotics, ITS and other verticals	License: Varies depending on the components used and activities – contact for more information Access: true Contact: ari.pouttu@oulu.fi liinamaa@oulu.fi	Testbeds
Description: 5G/6G Test Network represents a campus-wide cellular network 6 . The network features the full portfolio of 5G terminals, higher frequency bands, cognitive management functionalities, system testing tools for new connectivity solutions and versatile vertical applications. The network evolution follows the research and standardization progress, acting as verification platform for theoretical 5G/6G research. The cellular network is complimented by an extensive mMTC/IoT connectivity network.
Concept: The test network enables experiments for the next-generation wireless connectivity and its use for vertical applications. Its key components are wireless connectivity; AI/ML, processing, several vertical applications (energy, smart campus...).			Technology: 5G/6G and other radio access technologies (LPWAN (e.g., LoRaWAN), WPAN (e.g., BLE), WBAN (e.g., UWB), V2X). Edge computing, AI/ML, drones/robots
Hardware 5 Macro and 20+ Pico base stations; 5G NR, LTE, NB-IoT and LTE-M; hundreds of Sim-cards; EPC and OpenEPC; 700 BLE beacon positioning; LoRaWAN network with 2000 sensors; ITS-G5/802.11p V2X OBU and RSU; 3 edge servers; rich set of measurement equipment			Software Frequency licenses; B1, B7, B28, B43
Name	Provider	Domains	Use-cases	Access	Testbed stage
POLIMI I4.0 LAB Politecnico di Milano Industry 4.0 Lab	Location: Milan, Italy	Manufacturing	Production monitoring, programming, and optimization; Asset management and maintenance; Energy consumption optimization; Circular Economy ad disassembly operations; Collaborative and Autonomous Mobile Robots.	License: Eclipse, Apache, OPC Access: true Contact: Adalberto Polenghi adalberto.polenghi@polimi.it, Walter Quadrini walter.quadrini@polimi.it	Testbed
Description: Industry 4.0 Lab is a tangible physical entity where the research activity in the innovative manufacturing management and planning approaches can be carried out in conjunction with a practical implementation in a “real-like” environment. Key components implemented include an assembly line based on the Industry4.0 paradigm and open architectures, including robotic stations, collaborative robots and Automated Guided Vehicles. Implemented scenarios encompass various research areas as production monitoring, programming and optimization, asset management and maintenance, energy consumption optimization, circular economy, dissemination, and robot/computer vision-assisted operations.
Concept: AI and collaborative robotics supporting application development for advanced sustainable manufacturing.			Technology: AR; IIoT communication protocols; ML for MFG; collaborative robotics; distributed systems for manufacturing.
Hardware Fully automated line with OPC UA-integrated PLCs for production and energy monitoring and control. Industrial Robot, Collaborative Robots, AGV, smart sensors, smartphones, tablets, laptops, wearable devices (HoloLens, Vuzix), 5G modems.			Software OPC UA; MQTT; Apache Kafka; MATLAB/Simulink, Python, MongoDB, k8s/Docker, Fiware.
Name	Provider	Domains	Use-cases	Access	Testbed stage
proximus Proximus Video Analytics Testbed	Location: Brussels, Belgium	Smart cities, smart retail	People counting, occupancy detection, crowd management, vehicle detection, sound analytics	License: n.a. Access: true Contact: Anissa Sefsaf	Testbeds
Description: The Proximus Testbed is set to demonstrate the usage of video analytics and mmWave technology to detect line crossing, people counting, loitering and spill detection, occupancy measurements, crowd estimation and vehicle detection. On top of that, people can be categorized as male or female and adults vs. kids. By measuring the speed and walking direction, we can determine if passers-by are motorized or by foot. Using sound sensors, we can deliver sound analytics categorization like vehicle detection, glass breaking detection, etc. The generated data is displayed on a customized dashboard using a trustworthy interface to prove the correctness of the data.
Concept: People counting, occupancy detection, crowd management, vehicle detection, sound analytics			Technology: Video analytics, mmWave technology, sound analytics
Hardware Regular cameras, AI appliance, 3D cameras, mmWave sensors and sound detectors			Software Azure IoT HUB
Name	Provider	Domains	Use-cases	Access	Testbed stage
PSNC Labs PSNC FutureLabs, PIONIER-LAB, Agriculture testbed	Location: Poznan, Poland	Smart Cities, Health, Agriculture	Smart Campus, Smart Spaces, Smart Parking, Smart Vending, Smart Farming	License: n.a. Access: true Contact: marcinp@man.poznan.pl	Testbeds
Description: PSNC FutureLabs are the living labs in education, eHealth, smart City (https://futurelabs.psnc.pl/en/projekty/). Each of the labs provides different kinds of technologies, etc. PIONIER-LAB (https://pionier-lab.pionier.net.pl/laby/) - is one the largest Polish Research Infrastructure roadmap project, in which one of the laboratories is Smart Campus as Smart City. It creates the testbed of 12 smart campuses in Poland, with many sensors and infrastructure around smart spaces, parking, monitoring, energy, and others. The testbed will be available through the IoT/edge platforms for experimentation. eDWIN (https://www.edwin.gov.pl/) is a national platform for integrated plant protection, and provides access to network of agrometeo stations
Concept: Access to data from distributed network of sensors, access to living lab building and spaces, access to data from network of agrometeo stations			Technology: IoT, Edge computing, HPC, Machine Learning, Deep Learning, Big Data, Cloud Computing, AI, Edge Computing, Virtual Reality, Augmented Reality
Hardware Sensor infrastructure; automatic air quality testing stations; Agrometeo stations; smart metering monitoring equipment; robotics platforms and arms; cameras. 42 camera motion capture kit, Grass valley rio kit, pablo neo panel, sony bvm-x300 OLED monitors, phabrix rx500 analyzer (rasterizer), 24-speaker ambisonic installation, scanners (e.g., Arri Scan)			Software Access to the PSNC computing infrastructure and DataCenter (PSNC is the major HPC and DataCenter in Poland) services and software stacks for AI/ML/DL, BigData, etc.
Name	Provider	Domains	Use-cases	Access	Testbed stage
SGS SGS Cybersecurity Compliance Tool	Location:			License: Access: true Contact: Jacques Kruse Brandao, jacques.kruse-brandao@sgs.com	use-case
Description: Report on the implementation experience with regards to composite certification with the intension to demonstrate compliance to legislation like RED through the implementation of requirements related to standards like EN 303645/ TS103701, upcoming EN 17640 for fixed-time evaluation as well as to existing and upcoming certification schemes from the CSA.
Concept:			Technology:
Hardware			Software
Name	Provider	Domains	Use-cases	Access	Testbed stage
solarlab Solar Lab RES Cluster	Location: Portugal	Energy, Smart Buildings	Energy Production Optimization, Flexibility Management, Building Infrastructure Management	License: n.a Access: true Contact: n.samovich@enercoutim.eu	Testbeds
Description: The Solar Lab is a Net Zero Energy Building (NZEB) that offers conditions to test energy systems, such as microgrid approach, IoT infrastructures, EV charging and other integrated components. Located in the municipality of Alcoutim, Algarve region - highest solar radiation in Europe. The Solar Lab is equipped with a PV installation, an EV charger, a weather station (high resolution sensors) DNI, UVE and other equipment, indoor sensors for IEQ monitoring, smart appliances for use as electric loads and Wi-Fi communication, electric energy storage unit. DEMO site was within H2020 projects SHAR-Q (smart energy) and VICINITY (IoT) and currently on BD4RNG (Big Data for Next Generation Energy) where concepts like interoperability between distributed energy systems and decentralized IoT infrastructure, were explored, tested, and demonstrated to the stakeholders.
Concept: Solar Demonstration Platform			Technology: Solar Lab; IoT platform, Smart Energy components, Smart EV Charging, IEQ sensors, technologies for system flexibility, testing of battery charging states, grid connection tests, local weather forecasting. Solar Demonstration Platform, Organizing 5G testbed, testing, integration.
Hardware Solar Lab; PV system (11.7 kWp), batteries, EV charger Solar Demonstration Platform, CPV system (4 MWp), solar trackers			Software Solar Lab; Dynamic Building Audit, P2P energy trading platform. Solar Demonstration Platform, Smart Clean OM; Optimizing and improving management and prediction of DER; Energy sector digital twin.
Name	Provider	Domains	Use-cases	Access	Testbed stage
Symbiotic AIOTI DLT 1.08 SymbIoTic IoT Flood Monitoring Use-case	Location: Bjelovar, Croatia	Agriculture, smart cities	Flood detection and monitoring	License: true Access: true Contact: davor.predavec@symbiotic.hr	use-case
Description: The AIOTI DLT 1.08 SymbIoTic Flood detection and monitoring Testbed is set to demonstrate how IoT devices can improve the flood detection on the ground, notifying relevant staff over various channels, giving them possibility to see the data in an instant (public IoT data) and inform citizens where they can find other relevant information.
Concept: testing IoT devices in the flood test tank and later in the river to define the accuracy and improve it by combining 2 or 3 sensors mutually. Integrating with the existing Disaster Management platform is key, so we’d like to find the partners that are looking to integrate the IoT data into their environment, hence reducing the costs of staff, training, and time, while improving the disaster management processes.			Technology: Notifications by many various channels (SMS, email, WhatsApp, Signal, Telegram, Messenger, MS Teams, etc.) we can send a relevant information to whomever interested (there can be a good link with e-wallets/blockchain) Data analytics within IoT platform (event-based thresholds, charts, visualization) / Power BI data analytics / Sending data to other servers and/or platforms by our API or HTTP requests.
Hardware an autonomous IoT device (batteries, PCB) equipped with different sensors (contact and contactless with water).			Software in-house developed software within IoT devices. IoT Platform that aggregates the data and make visualization very quickly.
Name	Provider	Domains	Use-cases	Access	Testbed stage
Synelixis IoT Synelixis IoT Solutions	Location: Athens, Greece	Manifacturing, agriculture	Precision agriculture	License: n.a Access: true Contact: Theodore Zahariadis zahariad@synelixis.com Konstantina Fotiadou fotiadou@synelixis.com	proof of concept
Description: SynField, is a Cloud based smart precision agriculture and smart/remote irrigation platform, aggregating weather, leaf and soil information in vineyards, orange, olives, coffee, and tea fields. Currently small networks of SynField are installed in more than 150 vineyards and 30 olive trees in Greece, Italy, Spain, Germany, Denmark, and Finland and in 10 coffee and tea plantations in south India. In details, SynField system targets small-medium sized farms, while it offers the following three main services. SynAir is a versatile sensor platform that accommodates a multitude of Air Quality sensors. The SynAir device, cannot operate by itself, and thus it should be connected to a SynField device, to read and forward the sensors’ data to the SynField portal. Currently, three basic SynAir versions are available, i.e., SynAir CO2, SynAir City, SynAir City+, supporting the detection of features such as temperature, relative humidity, CO2, Particulate Matter, VOC, NO2, CO, among others.
Concept: Precision Agriculture & Sustainability, Supply Chain Intelligence, Cybersecurity & Risk Management, IoT & Connected Intelligence, Edge & Cloud Computing, Blockchain, Artificial Intelligence & Machine Learning, SynField Platform Development			Technology: https://www.synelixis.com/internet-of-things/
Hardware SynField, SynAir, SynOdos, SynRealy https://www.synelixis.com/			Software SynField
Name	Provider	Domains	Use-cases	Access	Testbed stage
TEKNIKER SFHUB Tekniker Smart Factory Hub	Location: Gipuzkoa, Spain	Manifacturing	Manufacturing, Tribology	License: Contact Tekniker Access: true Contact: Roberto González Velázquez, roberto.gonzalez@tekniker.es	Testbeds
Description: Unified platform for the integration of services in a smart factory. The platform provides a single web interface to information acquired from testbeds, machine-tools, robots, special machines and tribometers. Depending on the asset, different types of information is provided (operational, process, condition, quality).
Concept: People counting, occupancy detection, crowd management, vehicle detection, sound analytics			Technology: Video analytics, mmWave technology, sound analytics
Hardware Regular cameras, AI appliance, 3D cameras, mmWave sensors and sound detectors			Software Azure IoT HUB
Name	Provider	Domains	Use-cases	Access	Testbed stage
Digital Nervous System Ubiwhere's Digital Nervous System Testbed	Location: Aveiro, Portugal	Smart Cities, Mobility, Telecom, Smart Tourism, Blue Economy, ICT, Health, Energy, Industry, Construction	Awareness of VRUs in potentially dangerous situations, Intelligent and dynamic video caching, Object Detection in Video Streams (animals, people, cars, etc.), Collision risk warning, Monitoring dashboards for food production and smart parking scenarios, EV charging integration in street light poles, etc.	License: IPR owned by Ubiwhere Access: local and remote, based on assessment and agreement Contact: Ubiwhere DNS Testbed Team, dnstestbed@ubiwhere.com	deployed testbed
Description: The DNS testbed operates like a real nervous system, in which the atoms are technological services that form the basis for testing and experimenting with innovative solutions for SMEs and start-ups. The DNS testbed offers 20+ reliable and user-friendly technological services to test innovative ideas and simulate real scenarios for different sectors to identify and solve problems quickly.
Concept: The nervous system transmits signals to every part of the body to coordinate its actions. The Central Nervous System is a cloud solution for data integration and orchestration. The Peripheral Nervous System refers to edge computing solutions for IoT sensing and distributed processing of data			Technology: Cloud Computing, Edge Computing, IoT, AI (Computer Vision, Time-Series forecasting), EV Charging, Interoperability, Monitoring and Logging, UI and Dashboard
Hardware 5G NR Small Cells (N78 3.5 GHz) - 5G SA; 4G Small Cells (B42 3.5 GHz, B7 2600 MHz, B3 1800 MHz) - 5G NSA; Edge nodes; IoT sensors; C-V2X equipment; user Equipments			Software Aggregation Platform for BI, API Billing Engine, API Gateway, Computer Vision for object detection, Container Registry, Data Visualisation Platform, Electric Vehicle Charging Platform, GitOps Platform, Identity and Access Manager, IoT Platform, Logging Platform, Monitoring Platform, OCPP Integration, REST API Keys and Auth
Name	Provider	Domains	Use-cases	Access	Testbed stage
GAIA-5G Universidad de Murcia Gaia-5G	Location: Murcia, Spain	Energy, Smart Cities	Smart Cities, Smart Campus	License: n.a Access: true Contact: ANTS research group, UMU	Testbeds
Description: Gaia-5G is a testbed for 5G, computing and networking technologies, covering the whole campus in LoRaWAN, 802.11p and 5GNR coverage with our own network equipment. We also have distributed computation facilities linked via dedicated fiber links and a CWDM ring, with two open stack deployments, two hyperconvergence nodes, a Kubernetes environment and a PVE virtualization environment. The Gaia-5G Living campus is a deployment of IoT on the main university campuses with hundreds of sensors collecting data ranging from building / public transport occupancy, weather and air quality to photovoltaic production and wastewater processing parameters.
Concept: Practical demonstration of new communication technologies and computing paradigms over 5G, LoRa, etc.			Technology: 5GNR, LoRa, LoRaWAN, 802.11p, WiMAX; MEC
Hardware RSU / OBU and low power ARM MEC embedded demonstrators			Software ETSI MEC, RADIO Mobile online, OpenFlow, PTP, etc.
Name	Provider	Domains	Use-cases	Access	Testbed stage
PP-IDM Universidad de Murcia PP-IDM	Location: Murcia, Spain	Smart cities, Privacy-preserving Identity Management	Chain-enabled PP-IDM	License: Open source (Apache 2.0) Access: true Contact: skarmeta@um.es	Testbeds
Description: The Chain-enabled PP-IDM Testbed is set to demonstrate the collaboration of distributed ledger technologies DLTs and privacy-preserving technologies (PETs) for achieving trustworthy environments where users are in control of their identity and can access services with guarantees of data minimization and not being tracked by services nor identity providers.
Concept: Users can obtain p-ABC credentials from a distributed infrastructure (OLYMPUS based) that secures critical points increasing the trust in all the scenarios. The IdM platform using smart contracts can unambiguously register existing identity providers and even keep track of service providers and their policies. Each service provider must communicate what information it consumes, and this is recorded in the DLT for later use. In this way, users can know in advance what data a registered service provider consumes and whether the policy it has finally demanded from them is the one it initially declared.			Technology: DLT, privacy-preserving Attribute Based Credentials (p-ABC), distributed identity management. Convergence between DLT and distributed IdM for trust increase. Smart Contracts
Hardware Cloud storage, virtualization, smartphones			Software Hyperledger Fabric, OLYMPUS framework
Name	Provider	Domains	Use-cases	Access	Testbed stage
UPM IoT Tactical Cloud UPM Integration of IoT with Tactical Cloud	Location: Madrid, Spain	Smart Cities, Transport, Security and Defense	Disaster recovery, security, surveillance	License: Varies depending on the components used and activities – contact for more information. Access: true Contact: anamaria.bernardos@upm.es	Testbeds
Description: Tactical Edge environments are those such as disaster scenarios or battlefields in which professionals (e.g., emergency first-responders, firemen or soldiers) usually have limited computing and communication resources, while having to deal with situations that evolve rapidly and unpredictably and high level of stress and need for risk control. The more and more, professionals are equipped with wearable IoT systems, both for self-control, situation assessment and information retrieval. There is a need for virtualizing resources and embedded them in specific tactical architectures that cannot be configured as a standard-cloud centralized service, but on edge and in a distributed manner. In this demonstration, hierarchical data processing for a defense use case, where the soldier wears a smart helmet connected to a tactical cloud architecture, that enables to receive data from external sensors (embedded in drone platforms, vehicles, etc.) in a communications environment that is continuously modified. A prototype of the installation is built for the European Defense Agency, but multiple applications for Law Enforcement Agencies and other partners are feasible.
Concept: Wearable IoT, Edge computing, resilient networks.			Technology: Data fusion, artificial vision, microservices architectures, IoT
Hardware AR wearable helmet (HoloLens), routers, servers, ultra-wall (3x3 screens), wearable stress sensors, mobile devices.			Software MQTT, Kafka, Docker, MongoDB, Python, cloud services, OpenCV.
Name	Provider	Domains	Use-cases	Access	Testbed stage
UPM SMART CITIES UPM Smart City spaces of the Future	Location: Madrid, Spain	Smart Spaces, Sustainability, Smart Healthcare, Tourism, Commerce.	Smart Cities, Smart Living Spaces, Connected Buildings, Flying IoT, Smart Transport, Security and Defense, Emergency Response.	License: Varies depending on the components used and activities – contact for more information. Access: true Contact: anamaria.bernardos@upm.es	Testbeds
Description: The Experience Lab of the Spaces of the Future is a 160sq space for demonstration and service testing development located within CAIT Building at UPM Montegancedo Campus (Madrid, Spain). It is composed of reconfigurable semi-open rooms, specifically conceived to test personalized service concepts and interactive spaces. At the Lab, there are different technology enablers on top of which different service concepts have been trialed, for instance, IoT platforms on edge, multiuser indoor positioning systems based on hybrid sensors, a platform to provide multidevice collaborative augmented reality experiences, systems for multimodal natural (gesture-based, voice-based) interaction, concepts of smart objects (e.g., smart windows) and technologies for command-and-control centers.
Concept: Edge platforms, indoor positioning, augmented reality, gesture-based, voice-based interaction, ultra-wall interaction, multisensor tracking, personalized services			Technology: IoT, artificial intelligence, microservices platforms behavior analysis algorithms, data fusion,
Hardware High resolution ultra-wall, Arduino boards, smart cameras, interaction sensors (leap motion, Kinect, etc.), HoloLens, mobile devices, TV screens, Bluetooth beacons, ultrawideband beacons, servers,			Software MQTT, Kafka, Docker, MongoDB, Python, OpenCV, others.
Name	Provider	Domains	Use-cases	Access	Testbed stage
UPM SMART DRONES UPM Integration of IoT with Tactical Cloud	Location: Madrid, Spain	Security, Manufacturing, Logistics, Transports	Smart drones, UAVs, Security, Logistics	License: Varies depending on the components used and activities – contact for more information. Access: feasible Contact: anamaria.bernardos@upm.es	Testbeds
Description: This testbed deployed in Montegancedo Campus is ready to demonstrate services deployed over fleet of drones (demos are carried out with >3 drones). The key asset is the software platform that controls the fleet service lifecycle, from mission configuration to real-time data visualization and sensor-based anomaly detection. Drones are governed as IoT sensing platforms, equipped with in-flight sensors, environmental sensors, and specific cameras (thermal cameras, LiDAR, etc.), mounted in depending on the use case. Different service scenarios have been deployed over the platform, e.g., infrastructure monitoring (e.g., for telecom towers), emergency response (for onsite fast evaluation of an emergency and first-aid kit delivery) and security applications (capacity control in bounded areas). Real-time artificial vision algorithms on-board and on the edge are used to monitor the service. Monitoring tools include specific applications for mobile devices, but also interactive solutions for command-and-control centers.
Concept: Drone fleet management & automation, real-time sensing.			Technology: Data fusion, artificial intelligence, artificial vision, optimization algorithms, tracking and navigation, adaptive interfaces.
Hardware Drones, mobile devices, thermal cameras, LiDAR, ultra-wall.			Software MQTT, Kafka, Docker, MongoDB, Python, cloud services, OpenCV
Name	Provider	Domains	Use-cases	Access	Testbed stage
VERSES Verses DLT HSTP Spatial Web	Location: Eindhoven, Netherlands	Transversal	Convergence of IoT, DLT and AI	License: Open source Access: true Contact: info@verses.io	proof of concept
Description: The VERSES Testbed is set to demonstrate the Hyper Spatial Modelling Language (HSML) and Hyperspace Transaction Protocol (HSTP) using COSM (Spatial Operating system) that enables interoperable, semantically compatible connections between connected software and hardware and includes specifications for 1) a spatial range query format and response language for requesting data about objects within a dimensional range (spatial, temperature, pressure, motion) and their content; 2) a semantic data ontology schema for describing objects, relations, and actions in a standardized way; 3) a verifiable credentialing and certification method for permissioned create, retrieve, update, and delete (CRUD) access to devices, locations, users, and data; and 4) a human and machine-readable contracting language that enables the expression and automated execution of legal, financial and physical activities.
Concept: Standard for Spatial Web Protocol, Architecture and Governance			Technology: COSM (Context-aware Spatial Operating System) Hyper Spatial Modelling Language (HSML), Hyperspace Transaction Protocol (HSTP)
Hardware Autonomous drones, sensors, smart devices, and robots			Software Various software (services, platforms, applications, artificial intelligence systems)
Name	Provider	Domains	Use-cases	Access	Testbed stage
VICOMTECH Digital Twin Digital Twin for Remotely Operated Smart Manufacturing Line	Location: Vicomtech, San Sebastian, Spain	Manufacturing	Remotely Operated Smart Manufacturing Line, How to enhance the user-in-the-loop knowledge at a smart factory	License: contact Vicomtech Access: contact Vicomtech Contact: Dr. Ander Garcia agarcia@vicomtech.org	deployed testbed
Description: In the testbed, a conveyor will move parts until they reach the working range of a Remote-Controlled Robot. A remote operator will handle the robot to pick the part and face it to a camera. Images from the camera will be transmitted by 5G technologies and the remote operator will decide if the part is valid in a full virtual immersive environment.
Concept: Web order generator and ERP to monitor production; MES, controlling the production and orchestrating the actions of the other components (conveyor, robot, camera); conveyor, moving parts across the line and stopping when parts are detected at a predefined spot; digital Twin for remote quality inspection application, composed by a DT of the line and allowing the operator to control the robot and to inspect the parts; A Web quality inspection application, for use-cases not requiring the set of functionalities available with the DT application; Assest Administration Shell (AAS) based representation of the main components of the manufacturing line.			Technology: Digital Twin, 5G, ROS, Virtual Reality, Asset Administration Shell, OPC UA
Hardware Manufacturing hardware, 5G Connectivity hardware, Oculus, UR Robot			Software Custom developments over Open Source software, ROS, OPC UA, Unity, PLC programming proprietary software
Name	Provider	Domains	Use-cases	Access	Testbed stage
APICUS Video Systems APICUS-PLT	Location: Italy	Manufacturing	Glass container Agile quality control, Non-ferrous casting components quality control, mechanical parts surface quality control	License: n.a Access: true Contact: Alessandro Liani, a.liani@videosystems.it	Testbeds
Description: APICUS demonstrator platform includes physical anthropomorphic robot equipped with a set of machine vision systems dedicated to quality control tasks. The demonstrator uses machine vision technologies powered by deep-learning engine to quality control task of components manipulated by the robot. The pilot demonstrates integration of edge and cloud technologies that uses IIoT to share information for complex Agile manufacturing scenarios simulation. The station is connected to Cloud-based AI learning system based on Docker technology and NVidia GPUs accelerations. Different pilots are ready to test on various manufacturing sectors (Hollow Glass, high precision mechanical, foundry, furniture, field of household appliances, automotive.
Concept: AI, Machine vision, Robotics, IIoT, Cloud computing. robotics, edge computing, embedded systems			Technology: Video Systems embedded machine vision systems, anthropomorphic robot, GPUs cluster
Hardware Denso VS mod. 087G, On Robot grippers, NVidia GPUs cluster, Video Systems embedded vision devices, Video Systems stereo vision unit, photometric based surface quality control unit			Software Image processing modules, IngeniumPredicitveAIEngine
Name	Provider	Domains	Use-cases	Access	Testbed stage
VIRTECH Virtech Sofi aLab	Location: Sofia, Bulgaria	Smart Cities, Energy, Health	smart city, energy efficiency, smart buildings, active and healthy aging, e-health, sustainable development, e-mobility	License: n.a Access: true Contact: r.nikolov@virtech.bg	Testbeds
Description: Experimental living lab facilities in smart energy, smart buildings, active and healthy aging, e-health, sustainable development, smart mobility (e.g., smart EV charging).
Concept: Big Data and AI enhanced smart services, GDPR compliant data exchange, interoperability.			Technology: Open-source platforms, e.g., FIWARE, openHAB, dataU
Hardware Tablets, scanners, 3Dd Oculus Rift glasses			Software VR/AR edutainment, game design tools; 2D and 3D games
Name	Provider	Domains	Use-cases	Access	Testbed stage
BARTER Vizlore Blockchain Assisted Real-time Transaction Execution and Repository Framework	Location: Novi Sad, Serbia	Smart city, smart building, e-mobility, agri-food, supply chain	Blockchain-Assisted Real-time Transaction Execution and Repository framework; Crypto-currency based micro-payments for IoT services in various domains’ machine to machine micro-payments integrated with IoT automation processes; Trust management processes in food supply chains; Food safety and quality tracking through complex food supply chains.	License: Access: feasible Contact: Milenko.tosic@vizlore.com sasha.pesic@vizlore.com	Testbed
Description: The Blockchain-Assisted Real-time Transaction Execution and Repository framework (BARTER) Testbed is set to demonstrate a blockchain framework built on top of Hyperledger Fabric, Dash and VizLore's ChainRider service. It is a micro-payment enabler service that can be exploited to support a range of use-cases that need a secure and scalable M2M micro-payment solution, specifically designed for the IoT. Another part of the VizLore DLT Lab is the FT-CHAIN testbed. This testbed is built by Freie University of Berlin and VizLore Labs Foundation in a bilateral research project – set to demonstrate quality and safety tracking of food through complex food supply chains combining federated learning, DLT and IoT.
Concept: BARTER is a decentralized private blockchain infrastructure with deployed smart contracts for automated micro-payments and data storage, allowing autonomous interaction between IoT ecosystem entities in carrying out everyday business workflows. Regulations, ethics, and business rules can be incorporated through smart contracts, which are stored on BARTER’s Hyperledger blockchain and provide REST API interface for integration with IoT devices in a secure manner. FT-Chain combines IoT system for food quality measurements (spectrometry methods), IOT system for environmental sensing, Hyperledger Fabric based ledger for trusted data sharing between parties and federated learning framework for high performance data analysis and decision making. The goal is to emulate complex processes and dependencies in food supply chains that might result in food quality degradation and contamination.			Technology: Converge IoT & DLT, micropayments, process automation, IoT platform with edge controllers, smart contracts
Hardware VizLore IoT controllers – part of VizLore IoT platform – see https://smartaccess360.com/			Software Hyperledger Fabric, ChainRider (chainrider.io), Dash, Bitcoin, H2020 PhasmaFOOD project SW platform.

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