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Photonic integrated LIDAR and snapshot spectral imagers for scaling up multimodal perception in precision applications

Project description

Advancing multimodal perception with photonic sensory systems

Precision applications increasingly demand advanced sensory systems that can offer enhanced perception and analysis capabilities. Traditional technologies often fall short in meeting these complex, high-value requirements. EU-funded RETINA is developing advanced photonic-based sensory systems that integrate cutting-edge PIC-based LIDAR solutions and cost-efficient complementary metal oxide semiconductor (CMOS), indium gallium arsenide (InGaAs), and quantum dot (QD) snapshot spectral imagers, coupled with a digital infrastructure for machine learning-based perception algorithms. Collaborating with developers, AI experts, and sectoral leaders, RETINA aims to customise and deploy these systems in operational environments, demonstrating their adaptability and efficiency across various industries, including healthcare, automotive, and agriculture. In summary, RETINA adds significant value through enhanced precision, innovative technology integration, and sector-specific customisation in the field of photonics.


RETINA aims at developing two new photonic-based sensory systems encompassing hardware and software solutions to meet the high added value and customised needs of the healthcare, automotive and agriculture sectors. The project will define a holistic framework for photonic technologies development where specific efforts on next-generation hardware solutions —focused on a novel PIC-based LIDAR solution, and cost-efficient CMOS, InGaAs and QDs snapshot spectral imagers— are coupled with the creation of a digital infrastructure for agile and efficient Machine Learning-based perception algorithms development. RETINA will demonstrate how direct collaboration among photonic solutions developers and manufacturers, data elaboration and AI experts, as well as leading sectorial companies of strategic sectors can steer the agile development of customised sensory systems and their deployment and validation in operational environments. The project will show the potential for adaptability, scalability and transferability of these photonic-based solutions by addressing a range of industrial needs in an efficient and cost-effective manner, namely i) tumorous cells identification and blood perfusion monitoring in surgical applications; ii)advanced ADAS vehicle collision detection systems for autonomous driving; and iii) precision viticulture solutions for hydric status management and prediction of pathogens infections.


Net EU contribution
€ 881 125,00
36410 Porrino

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Noroeste Galicia Pontevedra
Activity type
Research Organisations
Total cost
No data

Participants (13)

Partners (1)