IoT-NGIN will enhance the public awareness and increase the IoT-NGIN community, embracing new members in the IoT-NGIN consortium through its 2 open calls.

  • The 1st Open Call started at the beginning of the second year of the project and ran for 3 months. Selected projects will run for 18 months. We invited IoT devices manufacturers, embedded software and FPGA/soft core SMEs to join the IoT-NGIN consortium by offering a) open interfaces and access to their IoT systems or b) embed IoT-NGIN meta-architecture extensions and/or software components or porting SW components to FPGA/soft core. The funding for each new participant will be up to 150K€ and, as expected, 5 new partners have joined the IoT-NGIN community via this open call.
  • The 2nd Open Call started at end of the second year of the project and ran for 3 months. Selected projects will run for 9 months. We invited SMEs active in IoT applications development to implement innovative IoT applications and services that use heterogeneous IoT and IoT-NGIN components to offer new services. The total amount of funding that each SME may receive is up to €75.000.

10 SMEs have been added in the IoT-NGIN family to benefit from IoT-NGIN innovations!

The new participants have been selected after the evaluation of proposals submitted in our 2nd Open Call and will start a “DESIGN-EXPERIMENT-GROWTH” stages’ programme, which will identify the prize winner.

The 10 projects entering IoT-NGIN for demonstrating the project’s functionalities through new applications and services include:

  • The Privacy information delivery system for Smart Cities (PrivCity) by Conveqs Oy (Conveqs), Finland. The project aims to address both the safety potential and the privacy concerns of AI enabled cameras in public areas through an easily accessible information system providing citizen-centric information through citizens’ devices, exploiting IoT-NGIN tools. The planned information delivery system will be validated in a real environment at Jätkäsaari, Helsinki.
  • The Improved support for Decentralized Identifiers and Verifiable Credentials (Imperial) by Internet Security and Privacy Solutions P.C. (ExcID), Greece. IMPERIAL is motivated by a growing number of research efforts that challenge existing authorization systems. It aims to extend the IoT-NGIN authorization component to include fine-grain access control policies and improve IoT-NGIN’s identity management component by integrating the latest specifications of the did:self DID method[1], which leverages group communication, and support for flexible trust relationships, e.g., delegation.
  • The machine-Learning Edge Enabled Autonomous tree inFection detection (LEEAF), by Spark Works Limited (Sparks), Ireland. LEEAF aims to use state-of-the-art technologies including computer vision, machine learning, artificial intelligence, and Unmanned Aircraft Systems (UASs) to facilitate the process of inspecting olive groves regardless of their size or location. LEEAF can thus help olive farmers target treatments and increase profitability. Using drones, multi-spectral cameras, and remote sensors, olive farmers can make accurate nutrient predictions, target phytosanitary treatments, and precisely apply fertilisers and irrigation.
  • The Open-Source Private 5G Network solution for Industry4.0 applications (Private5G) by Allbesmart LDA (ABS), Portugal. Combining Private 5G Networks with AI-enabled Edge computing creates tremendous opportunities for advanced Industrial IoT applications. Allbesmart aims to leverage its OpenAirInterface (OAI) deep expertise to build and offer a 5G base station (gNB), integrated with a 5G core network (5GCN), as a plug-and-play and easy-to-use commercial solution running in a single x86 computer platform. In order to achieve this, Private5G will develop a Private 5G Network Management Platform working as an abstraction layer to monitor and control the 5G Radio Access Network (RAN) and the 5GCN, as well as experiment and validate the Private 5G Network prototype in the IoT-NGIN Smart Industry Living Lab.
  • The IoT-Enabled Demand-Response Analytics for Energy Communities (IoT-DRACO) by COMSENSUS, komunikacije in senzorika, d.o.o. (COMSENSUS d.o.o.). The project aims to design, implement, enhance, and evaluate novel human-centric methodologies and services focusing on real-time active monitoring and control for data-driven energy communities via next generation IoT enablers. IoT-DRACO aspires to increase local and system energy efficiency, stability and security while minimizing impact on comfortability. To achieve this, IoT-DRACO will compile a next generation IoT DR-enabled energy community specification and architecture, including a generic digital twin to be used with NGSI-LD dataspaces Open API. The solution will implement: Observability and analysis of local grid, energy sources and IoT context; Semi-autonomous real-time actuation and control; Optimization and activation; Security, data integrity, privacy and sharing.
  • The Combating fake reviews of physical locations and venues via decentralized proof-of-location (BeenThere) by NEXUSIT Ltd. (Nexus), Bulgaria. The project aims to build trust in user reviews for physical establishments, venues and services. The project seeks to help combat review bombings by offering additional verification that a reviewer has actually visited the physical establishment prior or during the review. The project aims to be implemented as a standalone mobile application that aggregates and enhances reviews from existing platforms.
  • The Traffic Prediction using Augmented Reality (TIARA) by DOTSOFT INTEGRATED INTERNET APPLICATIONS AND DATABASES SOCIETE ANONYME (DOTSOFT), Greece. TIARA aims at tackling the problem of forecasting traffic congestions and making recommendations for optimal routes for car drivers, while delivering the “forecast message” using augmented reality technology. This project explores the opportunity behind the big amount of data from various sources (radars, cameras, weather, public transport, etc.), stored into data hubs and deploying machine learning algorithms, to derive predictions for traffic. Traffic prediction will be achieved via forecasting the volume and density of traffic flow, for managing the movement of vehicles, to reduce congestion and recommend optimal routes.
  • An innovative system for reliable control of parking lots through a user-friendly interface (AVERATO Park) by QUANTERALL (QTL), Bulgaria. It suggests an innovative system for reliable control of parking lots through a user-friendly interface. It is a smart and sustainable solution in the IoT infrastructure. AVERATO is a platform that connects various points of sale (like virtual POS, QR codes or IoT devices) with payment providers, merchants and end users. The goal of the AVERATO Park project is to develop and implement a new IoT module for contactless payments in parking facilities by using innovative IoT applications that use heterogeneous IoT and IoT-NGIN components.
  • The Trusted Uncrewed Aviation Systems Command and Control Based on the Internet of Things (IoT UAS C2) by Flyvercity Ltd (Flyvercity), Israel. The project will explore the application of the IoT-NGIN environment to support UAS advanced operations, including urban flights and beyond-visual-line-of-sight flights. It will also include multiple test flight as a part of experimental activities. A data measurement campaign will be conducted providing value data on the cellular signal behaviour above the ground. Within the project, mechanisms will be explored, that are required to ensure aviation-grade connectivity performance, guaranteed characteristics and proper security.
  • The TensyHub by Visign Ltd (Visign), Bulgaria. TensyHub is a wireless sensor network for in situ Structural Health Monitoring ( SHM ) of textile and composite structures. The TensyHub network will be a practical step forward to the idea of a smart city. The structural engineers will have the opportunity to monitor their creations in the same way the car industry follows the lifecycle of its products. In the long term, the Big Data analysis will provide objective feedback for the whole industry. TensyHub will provide the hardware and access to collected data on a subscription basis to facility owners, structural engineers and researchers. A maintenance advisor service will use said data to point to a prompt and targeted inspection of monitored objects.

[1] ExcID, “did:self method specification,” available at https://github.com/excid-io/did-self

Open Call #2

IoT-NGIN announces Open Call #2 and invites SMEs active in IoT applications development to implement innovative IoT applications that use heterogeneous IoT and IoT-NGIN components to offer new services and validate the IoT-NGIN components. The total amount of funding that each SME may receive is up to €70.000, while the top#1 SME will receive in total €75.000. 

It is expected that 10 applicants will be selected via this open call to enter the process and demonstrate the IoT-NGIN functionality. Sub-projects selected via Open Call #2 will start at IoT-NGIN month M28 (January 2023) and will run for 9 months. The competitive IoT-based application proposals will be selected to start a “DESIGN- EXPERIMENT- GROWTH” stages’ programme.

Who?

SMEs active in IoT applications development to implement innovative IoT applications that use heterogeneous IoT and IoT-NGIN components to offer new services and validate the IoT-NGIN components

What?

Up to €75.000 funding per selected application

How?

Submit your application via the F6S Platform from July 1st, 2022 until September 30th, 2022 (17:00 CET)

Useful Documents

Open Call #1 Winners

We are happy to welcome 5 new projects in the IoT-NGIN community, which have been distinguished among the candidates of the 1st Open Call. The new participations will exploit and advance the IoT-NGIN meta-architecture and will support new use cases integration in the Living Labs.

The additional innovation will be brought via the following actions, which will be active from 1st of April 2022 till 30 September 2023:

  • The Smart Viticulture Management system for better environmental sustainability (SmartViT) by BEIA Consult International (BEIA), Romania. The project aims to implement an intelligent system for vineyard close to Bucharest which will integrate sensors necessary for precision viticulture and meteorology and an advanced analytical engine that exploits Artificial Intelligence techniques and Blockchain technologies for data processing, modeling and security.
  • Deploying ML models on Drone Microcontroller system (MLDrone) by ACCELIGENCE LTD (ACCELIGENCE), Cyprus. ML-DRONE proposes to port and deploy ML models as open-source embedded SW on ACCELIGENCE drone system. ML-DRONE will evaluate TensorFlow Lite (TFL) and the TFL MICRO systems, leveraging and expanding drone AI intelligence. Upon request, the final drone system, equipped with the AI module will be deployed as an edge cloud resource in seconds, while via open APIs will support additional IoT devices.
  • The DEvelopment Environment of Professional solutions in the field of Industrial Internet of Things (DEEP IIoT) by Centre Aquitain des Technologies de l’Information de l’Électronique (CATIE), France. 6TRON is an environment for the development of professional solutions in the field of Industrial Internet of Things (IIoT). It is a toolbox that provides hardware blocks called Zest, dedicated to a specific task to promote reuse and accelerate the development of prototypes. CATIE will adapt and fine-tune the 6TRON platform to be compliant with the IoT-NGIN meta-architecture, developing a starter kit of 6TRON components that can be used to prototype an IIoT solution in line with the IoT-NGIN use-cases and living labs.
  • The Next Generation Conversational Wearable Medical Device for Chronic Disease Prevention (QuasaR-NGIN) by Think Biosolution Limited (ThinkBioSolution), Ireland. QuasaR-NGIN aims to reduce early mortality and improve quality of life for the elderly population. Next Generation Internet components will be added to ThinkBioSolution’s QuasaR device by embedding IoT software components running on FPGA/soft cores or IoT devices. These new HW/SW functionalities will be also deployed as an open-source platform and tested within the context of the IoT-NGIN pilots.
  • The Electric Grid Monitoring by Open-Access IoT (EGMOI) by Energiot Devices S.L (ENERGIOT), Spain. Energiot aims to validate its self-powered IoT device for smart monitoring to sense and control substation breakers of the Smart Energy Living Lab. This solution can be used to increase the grid resilience when the system approaches unstable operational boundaries related to the high demand for Electric Vehicles, and to create an API for smart energy management.

Open Call #1 – Apllication period has ended

IoT-NGIN announces Open Call #1 which will select at least 5 new partners, who will join the IoT-NGIN consortium. IoT-NGIN invites IoT devices manufacturers, embedded software and FPGA/soft core SMEs to join the IoT-NGIN consortium by a) offering open interfaces and access to their IoT systems or b) embedding IoT software components running on FPGA/soft cores to submit a proposal to the IoT-NGIN Open Call #1.

Each project will be granted up to €150K and will enter into an 18-month programme, during which they will develop their HW/SW components within IoT-NGIN and test them in IoT-NGIN pilots. 

Who?

IoT devices manufacturers, software and FPGA/soft core SMEs willing to join the IoT-NGIN consortium by a) offering open interfaces and access to their IoT systems or b) embedding IoT-NGIN extensions and/or porting IoT software components to FPGA/soft core

What?

Up to €150,000 funding per selected application

How?

Submit your application via the F6S Platform from October 1st, 2021 until December 30th, 2021 (17:00 CET)