Project description
A closer look at computer vision
Since the late 1950s, Computer Vision (CV) has been pivotal in realising human-like intelligence and perception through artificial intelligence (AI). Yet, today’s CV systems face challenges with power consumption and reliability, especially in adverse conditions like fog, darkness, and sunlight. The global CV market is valued at over EUR 11 billion. In this context, the EU-funded 2DNEURALVISION project emerges as a game-changer. By developing integrated photonic and electronic components, including a 2DM enhanced wide-spectrum image sensor and optical neural network, the project aims to create low-power, all-weather, all-light CV systems. Expect groundbreaking improvements across sectors like automotive, AR/VR, robotics, and mobile devices, as these advancements pave the way for a new era of computer vision.
Objective
From the late 1950s, Computer Vision (CV), a significant field of artificial intelligence (AI), began to be the tool to realize human intelligence and perception. Today, the global computer vision market has a value of over $11 billion and will reach $19 billion in 2027. Current computer vision systems suffer from high power consumption and limited reliability due to the low amount of information captured and sensor malfunction in adverse conditions such as fog, darkness, and bright sunlight. The 2DNEURALVISION project aims to develop the enabling photonic and electronic integrated circuit components for a novel low-power consumption, any weather, any light computer vision system. These components are a 2DM enhanced wide-spectrum image sensor and optical neural network with enabling 2DM components. Non-toxic materials and new waferscale, CMOS-compatible back-end-of-line integration processes for 2DMs will be developed to show compatibility with high-volume markets. The developments in the 2DNEURALVISION project will result in reliable (any weather, any light), low cost (1000x lower), low power consumption (30x lower), and small form factor (1000x lower) computer vision systems. This will have enormous societal impacts by enabling disruptive improvements in the automotive, AR/VR, service robotic, and mobile device sectors.
Fields of science
- engineering and technologynanotechnologynano-materialstwo-dimensional nanostructures
- natural sciencescomputer and information sciencesartificial intelligencecomputer vision
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencescomputer and information sciencesartificial intelligencecomputational intelligence
Keywords
Programme(s)
Funding Scheme
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinator
08860 Castelldefels
Spain