Horizon Europe

A Holistic Approach to Sustainable, Digital EU Agriculture, Forestry, Livestock and Rural Development based on Reconfigurable Aerial Enablers and Edge Artificial Intelligence-on-Demand Systems

CHAMELEON aims to optimise production and identify potential problems in agriculture, livestock, forestry and rural areas. Acceligence Ltd. is the Coordinator of the project with strong contribution to the research and development part of the project and contributes with its drone technologies by providing a fully custom Unmanned Aerial Vehicle.

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CHAMELEON has received funding from the European Union’s Horizon Europe Research and Innovation Programme under Grant Agreement no. 101060529.

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Trust and Privacy Preserving Computing Platform for Cross-border Federation of Data

TRUSTEE project will deliver a green, secure, trustworthy and privacy-aware framework that aggregates multiple interdisciplinary data repositories (healthcare, education, energy, space, automotive, cross-border), while considers other European data federation spaces and transnational initiatives (Gaia-X and the EOSC). The project will deliver a completely encrypted solution that enables researchers to search for and utilise encrypted data.

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TRUSTEE has received funding from the European Union’s Horizon Europe Research and Innovation Programme under Grant Agreement no. 101070214

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A Holistic Digital Mine 4.0 Ecosystem

In the context of industrialization, informatization and sustainable development of the mining sector, Mine.io solution will build a novel mining digital ecosystem and a systemic structure for the implementation of I4.0 in mining industrial environments. Mine.io solution will embrace the whole mining value chain from resources’ exploration, extraction, and processing to waste management and post mining activity. Acceligence Ltd. as a technical partner will lead the entire UAV design and production process (requirements analysis, CAD design and process analysis, mechanical parts manufacturing, sub-assemblies, completed UAV assembly, software integration).

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Mine.io has received funding from the European Union’s Horizon Innovation Programme under Grant Agreement no. 101091885.

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Digital Modelling and Simulation for Design, Processing and Manufacturing of Advanced Materials

DiMAT Project will develop Digital Technologies for modelling, simulation and optimisation in each stage of the material value chain (design, processing and manufacturing) with data analysis services and visualisation techniques for improving quality, sustainability, effectiveness, and competitiveness of materials. Acceligence Ltd. will be involved as an end user, designing and implementing a use case targeted to develop new composites structures for drones characterized by higher performance (mechanical-and physical), reduced cost and lower environmental impact.

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DiMAT has received funding from the European Union’s Horizon Europe Research and Innovation Programme under Grant Agreement no. 101091496.

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Product Passport through Twinning of Circular Value Chains

Plooto envisions to provide a circular and resilient information system (CRIS) that enables waste reduction and end-to-end traceability of SRMs through interconnected digital services for real-time decision making, monitoring and certification of materials and products, relying upon a digital transformation strategy pertinent to process industries. Acceligence Ltd. is one of the 20 partners involved and during this project, a pilot case regarding drone manufacturing using CFRP Waste will be demonstrated.

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Plooto has received funding from the European Union’s Horizon Research and Innovation Programme under Grant Agreement no. 101092008.

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Unobtrusive Technologies for Secure and Seamless Border Crossing for Travel Facilitation

ODYSSEUS is expected to improve border crossing experience for travellers and border authorities’ staff, while maintaining security and monitoring of movements across land and sea EU external borders. The aim of this project is to support the safety and integrity of the European space, reducing illegal movements of people and goods across those borders, and protecting fundamental rights of travellers.

Acceligence Ltd., as a technology provider, will develop and implement the UAZ-assisted vehicle scanning technology. In addition, Acceligence Ltd. will establish user need and requirements for border control systems by conducting interviews and surveys with project participants and other stakeholders to understand their needs and concerns. Finally, we will disseminate and communicate the benefits of the technology to stakeholders, ensuring that it is successfully adopted and integrated into border control systems.

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ODYSSEUS has received funding from the European Union’s Horizon Innovation Programme under Grant Agreement no. 101073910.

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Twin Transition and changing patterns of spatial mobility: a regional approach

MOBI-TWIN is a project funded under the European Union’s Horizon Europe Research and Innovation Programme. It unites a consortium of 9 partners hailing from 8 diverse European countries. MOBI-TWIN aims to understand the evolving factors influencing spatial mobility within the context of significant global transitions, focusing on the green and digital transition, referred to as the Twin Transition. The project explores how these global transformations influence the attractiveness of different regions, consequently affecting people’s mobility choices.

Within the MOBI-TWIN project, Acceligence Ltd. takes on the critical role of Dissemination and Communication Manager. Our dedicated team is committed to effectively disseminating and communicating the project’s groundbreaking outcomes, ensuring that the broader community can engage with and benefit from the wealth of insights and innovations that MOBI-TWIN generates.

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MOBI-TWIN has received funding from the European Union’s Horizon Europe Research and Innovation Programme under Grant Agreement no. 101094402

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Predictive Maintenance Education & Training System

The critical role of PM (as an emerging work field) and the blooming prospects of its market, deems crucial the need to develop comprehensive training systems specialised on Predictive Maintenance to properly prepare the next generation of human capital that can effectively apply PMS across a wide variety of industrial/ manufacturing infrastructure and equipment. The need for effective and widely used, education, training, testing, and certifying methodologies, is a key component in assuring the societal, environmental, and economic benefits that Predictive Maintenance can offer to the industrial sectors in Europe.

In this context, the general objective of PreMETS are to introduce an alliance for boosting the European Innovation in Predictive Maintenance through entrepreneurial cooperation, education, and training for the development of a coherent digital platform that covers all aspects of the PM training process.

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PreMETS has received funding from the European Union’s Erasmus+ Programme under Grant Agreement no. 101108469.

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Digital Maintenance for Sustainable and Flexible Operation of Hydropower Plant

Di-Hydro contributes towards harnessing the full potential of hydro-power (HP) plants and clusters in line with the objectives of the European Green Deal and the Paris Agreement, by development of tailored, optimized digital and smart decision-making tools for use in such plants, at scale. Indeed, Di-Hydro will develop smart devices and pro-active intelligent algorithms that utilize data acquired from static, dynamic, and alternative sources (e.g. satellites) so as to predict the operational and maintenance-related behavior of standalone HP plants and clusters, and we will then incorporate such algorithms in digital twins that can fully interrelate with such HP plants/clusters, yielding, eventually, an intelligent, fully-replicable decision-making tool for optimal coordination of environmentally mindful power generation from such plants/clusters (based on the foreseen market needs and the intended commercial strategy of their owners). 

Notably, a wide variety of previous plant digitization levels, weather and water flow conditions, biodiversity, environmental and societal issues pertinent to such HP clusters are incorporated in the integrated practical solution developed here, mainly by leveraging innovative sensor technologies, cutting-edge digital adaption for energy production, and optimized operation and maintenance practices based on next-gen information technology. Di-Hydro will carry out pilot testing in 7 different hydropower plants, located in Greece (PPC), Italy (A2A) and Serbia (EPS).

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Di-Hydro has received funding from the European Union’s Horizon Europe Research and Innovation Programme under Grant Agreement no. 101122311

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Autonomous Swarm of Heterogeneous resources in infrastructure protection via threat prediction and prevention

TESTUDO, aligned with the need of a holistic and autonomous security approach in critical infrastructure (CI) protection domain and with the European Commission’s objectives, will utilize advanced unmanned vehicles along with existing equipment to deliver a highly mature platform for continuous monitoring even at harsh environments and remote territories. Tailored to the needs of the domain and targeting to maximize the platform’s autonomy capabilities, TESTUDO intends to incorporate state-of-the-art technologies for detection, prevention and prediction increasing their cognitive capabilities for different types of hazardous events. In addition, optimization techniques will identify the resources needed for the execution of high-level missions contributing to the total autonomy of the deployable system.

A multidisciplinary group of technical innovators for AI-based models, CBRN, cyber-security detection, Digital twins and XAI along with the CI-related experts will collaborate to deliver an innovative action and solution to protect various Cis during a long operational period and completely autonomously.

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TESTUDO has received funding from the European Union’s Horizon Innovation Programme under Grant Agreement no. 101121258.

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A Sustainable Ecosystem for the Innovative Resource Recovery and Complex Ore Extraction

XTRACT seeks to introduce the novel concept of the Zero Emission Mine of the Future, developing and validating innovative microinvasive technologies for sustainable and decarbonised extraction. XTRACT will add a highly innovative new alternative to the toolbox of how stockpiles and tailings are assessed, relieving the pressure on resources and contributing to the realization of EU Climate Neutrality Goals, with a significant benefit of emission reduction. XTRACT will introduce low-TRL green technologies of phytoextraction and phytoremediation, particularly appropriate for mining waste piles and abandoned sites that represent a solution for mine waste remediation but also for the for the extraction and recovery of various precious metals.

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XTRACT has received funding from the European Union’s Horizon Europe Research and Innovation Programme under Grant Agreement no. 101138432

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Intelligent & Digital Roadway Infrastructure for Vehicles Integrated with Next-Gen Technologies

The iDriving project focuses on enhancing road safety through intelligent, data-driven solutions for urban and secondary roads across Europe. Leveraging advanced technologies like AI, digital twins, and real-time monitoring, iDriving aims to provide comprehensive safety and traffic management by detecting road hazards, optimizing infrastructure maintenance, and enabling efficient vehicle-to-infrastructure communication. The project’s objectives include creating a Safety Criteria Catalogue, improving traffic flow, reducing accidents, and promoting sustainable road usage. iDriving also emphasizes collaboration with municipalities and policymakers, fostering solutions aligned with end-user needs and European safety standards.

ACCELIGENCE Ltd. is keen on both testing and commercially leveraging UAV technologies developed during the project’s duration. The outcomes attained through this project will empower ACCELI to distinguish itself from competitors by strengthening its technological prowess derived from the insights gained from iDriving technologies. Also, as the Dissemination and Communication Manager for the iDriving project, Acceligence is dedicated to effectively disseminating and communicating the project’s outcomes.
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iDriving is a project funded by the European Commission under Grant Agreement no.101147004. The views and opinions expressed on this website are the sole responsibility of the author and do not necessarily reflect the views of the European Commission. 

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TEXTile digitisAtIon tooLs and mEthodS for cultural heritage

TEXTaiLES aims to revolutionize the digitization of Cultural Heritage (CH) textile objects and develop AI-based processing tools to establish a standardized protocol for the European Collaborative Cloud for Cultural Heritage (ECCCH)The project will study past and present practices in textile digitization to identify the essentials of textile digitization and develop advanced tools for the entire digitization life cycle of textile objects.

ACCELIGENCE Ltd. will design and develop a specialized UAV system for the precise navigation and inspection of large-scale textiles. This involves integrating advanced navigation and obstacle avoidance algorithms that allow the UAV to operate safely in complex environments while ensuring complete coverage of textile surfaces. The system is further enhanced with specialized sensing technologies, including high-resolution, UV, and infrared cameras, which capture detailed and accurate data for textile analysis. To guarantee reliability and protect the integrity of delicate textile materials, we also implement robust emergency and safety protocols.

Through this comprehensive approach, ACCELIGENCE ensures that TEXTaiLES combines innovation, precision, and safety to set new standards in textile inspection. 

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TEXTaiLES is a project funded by the European Commission under Grant Agreement no.101158328. The views and opinions expressed on this website are the sole responsibility of the author and do not necessarily reflect the views of the European Commission. 

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Integrated UAV and Satellite Sensing for Monitoring Urban Heat Islands

The proposed URBAN-EYE use case will offer a novel solution for monitoring and mitigation of UHI effects by implementing real-time, multi-source thermal data. URBAN-EYE will leverage UAV mounted with thermal and multispectral sensor to capture detailed land surface data at local scale combined with satellite collected data to provide essential environmental context and better understand broader spatial patterns. 

The collected data is integrated and processed within the NebulOuS Meta OS, enabling: 

  • Real-time data fusion and AI-based modelling of UHI dynamics 
  • Detection of heat hotspots and forecasting of temperature trends  
  • Simulation of mitigation strategies, such as green infrastructure or reflective surfaces. 

The output will be delivered through a WebGIS platform, which will serve as the end-user interface. This will deliver to end users a holistic approach with visual analytics, geospatial tools and predictive simulations to support evidence-based decisions and scenario planning.

ACCELIGENCE plays a key role in URBAN-EYE as Leader of the Open Call, providing UAVs for data collection of urban heat islands (UHIs) and acting as Integrator with the NebulOus Meta OS platform. 

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Funded by the European Union. Views and opinions expressed are, however, those of the author(s) only and do not necessarily reflect those of the European Union or the Directorate-General for Communications Networks, Content and Technology. Neither the European Union nor the granting authority can be held responsible for them.

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Intelligent Sensing and Communication as Training Network for Perceptive Mobile Networks in 6G

ISAC-NEWTON addresses critical challenges within various 6G wireless application scenarios, necessitating precise environmental information. Integrated Sensing and Communication (ISAC) emerges as a promising paradigm to harness the synergy between sensing and communication, where perceptive mobile networks (PMNs) have been proposed to enhance existing wireless networks by incorporating accurate sensing capabilities. Established cellular networks offer opportunities for sensing with extensive coverage, robust computation, communication power, and networking sensing from multiple nodes for the same target. 

However, PMNs encounter significant hurdles, including inherent interference, complex sensing environments, and high-speed target tracking by cellular networks. ISAC-NEWTON aims to overcome these challenges through an exceptional research and training program. The vision is a fully integrated system where sensing and communication coexist, sharing resources across time, frequency, space and power domains, alongside key elements like signal processing, machine learning and hardware. 

The project adopts a multidimensional information perception: 

  1. of the physical layer by employing innovative meta surfaces to effectively address challenges in both line-of-sight and non-line-of-sight scenarios;
  2. for robust and reliable sensing by novel prediction and situational algorithms, and optimised monostatic, bistatic or multistatic design for adaptive location-time aware scheduling and improved coverage;
  3. for intelligent wireless radio resource management by novel machine learning enabled radio access network mechanisms for real-time decision making. 

ISAC-NEWTON will provide a unique, advanced, multi-disciplinary training programme covering all aspects of intelligent communication and sensing science field: modelling, design, development, data analysis, validation, and translation to the application, in a harmonious synergy that encompasses future wireless networks. 

Acceligence (ACC), DC5: Metasurface-based reconfigurable antenna array for target recognition and tracking: The research aims for an advanced intelligent sensing system, integrating reconfigurable antennas with space-time meta surface technology. Objectives include optimizing antennas for enhanced beamforming, frequency agility, and target recognition in dynamic environments. ML/DL algorithms will identify multiple targets in real-time, adapting to changing dynamics. Experimental validation will assess system performance, with findings shared through scholarly outlets for insights in intelligent sensing and target recognition. 

Leader for WP5 Reference Scenarios and System Requirements. 

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This project has received funding from the European Union’s Horizon Europe research and innovation programme under the Marie Skłodowska-Curie grant agreement No 101169496. 

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