ITEA is the Eureka Cluster on software innovation and digital transition, enabling a strong international RD&I community of large industry, SMEs, research institutes, academia and user organisations to collaborate in funded research and innovation projects that turn ideas into new businesses, jobs, economic growth and benefits for society. ITEA is industry-driven and covers a wide range of innovation areas and business opportunities facilitated by digitisation, such as smart mobility, healthcare, smart cities, energy, manufacturing, engineering and safety & security. ITEA pushes important technology fields like artificial intelligence, big data, digital twin, distributed cloud and high-performance computing into concrete business applications.
With pleasure we present you the ITEA Annual Report 2022, covering the results achieved in the period January - December 2022.
ITEA in numbersClick on the figure for more information
Introducing the new projects
ITEA Call 2021 Projects
Developing AI ecosystems improving diagnosis and care of mental diseases
ARD GROUP (Türkiye)
Major depressive disorder (MDD) is a common psychiatric disorder, ranking as the second leading contributor of years lived with disability. Finding the right approach for individual patients remains challenging. DAIsy will develop and bring to the market AI-supported solutions for improved diagnosis, treatment selection, diet monitoring, activity tracking, support in behaviour adjustments, and treatment response assessment. Novel AI techniques will be jointly developed to advance the AI applicability for these fragile patients by advancing techniques for large data points/patient ratios, improving explainability and uncertainty quantification.
Environment Adaptive Recommendation System
ARD GROUP (Türkiye)
The main problem of many domains is a lack of information and guidance, as potential customers cannot be reached because there is not enough information and guidance towards the right products. The EARS project aims to bring together all parties in the value chain, creating an ecosystem, providing a new platform that fits the purposes of all parties and enabling them to collaborate. Entities such as businesses, algorithm developers, solution providers, service providers and recommendation systems are brought together to enhance their capabilities or those of others, monetising the artefacts by utilising them as a service.
Integrating AI into smart control systems, and increasing productivity for industrial areas
Nanosystems Co., Ltd. (Korea, Republic of)
Smart technologies are gaining higher importance while supporting Artificial Intelligence technologies that we use in our lives. The main goal of this project is to provide a flexible, controllable digital environment supported by an Explainable Artificial Intelligence digital smart platform that will collect and analyse sensor data from various resources for different domains. These will be combined in a common framework in industrial areas and the retail market. The project will present novel methods and solutions for the industrial market and real-life use-cases for exploitable solutions.
Generating and Deploying Lightweight, Secure and Zero-overhead Software for Multipurpose IoT Devices
Distributed hardware/software systems (often interconnected via the internet) which gather information via sensors and influence the environment via actors must be up to date, especially with regard to security. Additionally, connectivity offers the opportunity to adjust in-field systems to user needs. This requires an efficient development flow enabling short development cycles. GenerIoT will provide new technologies and processing steps in order to simplify and speed up the handling of IoT software over the complete DevOps cycle. The approach proposed by GenerIoT will open new business opportunities: IoT apps.
Remote Monitoring in Health and sports
Wearable health monitoring systems provide a big promise of allowing individuals to closely monitor changes in their vital signs and provide feedback to regain or maintain an optimal health status. The RM4Health project will accelerate innovation in electronic wearable devices. RM4HEALTH will focus on the development of open technology platforms for vital sign monitoring for these emerging fields to help them bridge ‘the Valley of Death’ in a shorter time and at a lower cost. RM4HEALTH aims to stimulate innovation in continuous monitoring in healthcare and sports.
Secure Open Collaboration Framework powered by Artificial Intelligence
TAV Technologies (Türkiye)
The SOCFAI project focuses on airports and addresses the problems caused by the collaborative and multi-stakeholder nature of their operations. This is providing new ways to manage the operations cycle, enable real-time common situational awareness of all aspects of airport operations, optimise different core processes, enable predictive and fully integrated operations management and facilitate customer service management and orientation, all while trying to improve overall customer satisfaction levels by introducing an open-source framework equipped with technologies such as AI, Computer Vision, VR, IoT, LIDAR, etc.
Eco-system for disease specific clinical workflow and data integration
Healthcare today faces many challenges like improving patient outcome, working cost-effectively while finding a balance with growing demand, declining staff capacity and new clinical/technological developments. COVID has clearly shown the urgency for healthcare IT to ensure efficient decision-making and co-operation and a reduction of strain on the sector. The most effective way to achieve this is to unlock the full potential of the knowledge hidden within the enormous amounts of medical data generated. The objective of SYMPHONY is to create an open healthcare IT ecosystem, providing care professionals with real-time, comprehensive insights into a patient’s status and integrating all relevant information for diagnosis, treatment selection and follow-up.
Traffic AI Prediction of Common Operational Picture
ViNotion BV (Netherlands)
Authorities continuously struggle with managing and controlling traffic and crowds to prevent safety incidents and discomfort. They lack efficient solutions to prevent these problems. TAPCOP realises situational awareness and data-driven management of visitor flows, provides AI-based sensors and aggregates multiple data sources using AI to create a more reliable and complete view of the situation and predict overcrowding. TAPCOP offers a one-stop solution for multi-modal mobility management and prevention of overcrowding by personally advising visitors pre-trip, on-trip and on-site via social media, navigation systems and other mobile phone apps.
Timeline-Driven Digital Twin
The current digital twin services on the market do not completely fulfil customer needs and are unable to prevent unexpected breakdowns and provide cost-effective models. Moreover, end-users have to set up every simulation using different software, which results in high costs, time and effort. By bringing together different software capabilities while fulfilling customer needs with the implementation of innovative technologies, the TiDiT project aims to create an ‘as a service’ model timeline-driven digital twin platform to enable a better decision-making process and increase situational awareness.
Proactive protection against phishing-based ransomware
VisionWare - Sistemas de Informação, S.A. (Portugal)
Every year, millions of users fall victim to malware threats in various ways. The VESTA project aims to develop a European cybersecurity system to proactively protect systems against ransomware attacks. It combines multiple techniques such as AI/ML, data & knowledge extraction, anti-phishing, human behaviour analysis and sandboxing to build a multilayer ransomware attack mitigation platform capable of preventing, defending and remediating such attacks. Moreover, VESTA may also tackle the challenges related to the multi-language nature of phishing emails via collaboration between partners from different countries.
Zero-Data Exchange for Engineering
SETLabs Research GmbH (Germany)
There is a high need to process privacy and intellectual property-related digital artefacts, such as datasets, models or algorithms. The vision of ZEE is that no copies must be created for the processing of these artefacts. Technical issues of security and privacy can be addressed with novel approaches. However, current IT infrastructures represent major barriers. Much sought-after applications like controlled data sharing, distributed computing or distributed toolchains are effectively prevented. The ZEE project aims to exploit edge/network/cloud computing-based mechanisms to circumvent these issues in order to enable new business opportunities through a more generous attitude towards sharing in industry.
Joint Eureka Clusters Sustainability Call 2022 Projects
AgAPP-e: Agriculture’s digital Analyser of Production, for Phosphorus efficiency
For improved production and environmental protection, fertiliser management needs to be local or site-specific; depending on the regional metabolism, agricultural efficiency can be increased even fourfold if the flows and stocks are well-observed. Digital solutions will greatly improve the management of such essential resources, but these are currently missing, leaving the farmer without simple tools capable of providing targeted diagnoses for targeted treatments. AgAPP-e aims to automate fertiliser recommendations and thereby improve accuracy and increase the phosphorus efficiencies of a nation.
REtail using Technology based on Artificial InteLLigence
Polytechnic Institute of Porto (Portugal)
Fresh food quality and safety products are a challenge for the retail sector, in particular for perishable foods that are stored for long periods, spoiling quickly. In view of this, we want to develop a smart system that can allow a cost-efficient supply chain providing alternatives to improve the food life cycle and sustainability.
Agro Insurance Data Management Platform with API Services
SFS Danışmanlık Bilgi İşlem San. ve Dış Tic. A.Ş (Türkiye)
Agricultural insurance is a global, fast-growing billion-dollar industry and, due to the effects of climate change, it is becoming more important every day. Effective insurance policies stabilise farm income, reduce poverty and ensure a climate safety net for food producers. SmartAgroInsurance aims to develop a Smart Agriculture Insurance Data Management Platform to provide, analyse and integrate agricultural data from different sources with insurance industry know-how so that insurance companies can achieve better premium calculations, claim automation and fraud prevention and provide supportive, damage-preventing advice to the farmer.
Intelligent Digital Twin Platform for Climate-Neutral Data Centres
In this project, we aim to develop our award-winning artificial intelligence (AI) and digital twin (DT) technologies into a cloud AI platform to digitalize, optimize and automate data center operations for sustainability purpose. We will adopt the EU climate neutral data center pact as our reference framework to guide data centre operations and management in five thrusts, including power, carbon, water, circular economy and governance, towards a sustainable future.