Prophesee Introduces 'Inventors Community' to Showcase Customer Innovation

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Prophesee has established an “Inventors Community,” showcasing work and innovations being driven by its event-based metavision technologies. The Inventors Community aims to continue to foster this growing event-based vision ecosystem by providing a platform to feature breakthrough developments and inspire future projects, collaborations, and creativity.

“We hope that by providing them a platform to showcase their work, they will inspire future inventors, and like the projects here, they can create something new together and reveal the invisible,” said Luca Verre, co-founder and CEO of Prophesee.

The first featured projects of the Inventors Community include:

Cambridge Consultants: Unlocking next-generation cell therapy.

Cambridge Consultants, part of Capgemini Invent, is working to drastically improve the time and cost of quality control in cell therapy manufacturing using Prophesee metavision sensor and AI models to detect, track, and classify contaminants. Its PureSentry system cuts down testing time from weeks to minutes and autonomously checks a new sample for contamination every 18 ms.

Gensight Biologics: Restoring sight to the blind.

Prophesee metavision sensing technologies were used in a light-stimulating medical device (in the form of goggles) combined with gene therapy. Gensight Biologics recently published the first case report of partial recovery of visual function in a blind patient with late-stage retinitis pigmentosa (affecting one in 4000 people born in the U.S. every year), using optogenetic retinal stimulation.

Heriot-Watt University, University of Glasgow, and University of Strathclyde: Detecting and tracking particles at high speed.

Aided by Prophesee’s metavision sensing technologies, researchers at the University of Glasgow, Heriot-Watt University, and the University of Strathclyde have discovered ways to leverage event-based vision’s high-speed particle detection and tracking capabilities to perform high-speed, cost-efficient microfluidic analysis. The team managed to profile particles down to 1 µm and capture data at a time resolution equivalent of 20,000 images per second, leveraging standard fluorescence microscope and lighting.

National University of Singapore: Giving robots a human sense of touch.

Researchers at the Collaborative, Learning, and Adaptive Robots lab and TEE Research Group at National University of Singapore are taking advantage of the benefits of event-based vision, in combination with touch, to give robots a next-generation sense of touch to help them grip and identify objects. The team’s skin sensor reaches speeds 1000× faster than a human’s sensory system, and the system enabled rotational slip detection in 0.08 s.

Western Sydney University: Exploring the skies and tracking space debris.

Astrosite, a world-first neuromorphic-inspired mobile telescope observatory developed by the International Centre for Neuromorphic Systems at Western Sydney University, is using event-based sensing as a more efficient and low-power alternative for space situational awareness to help address the growing issue of space debris. Their system enables continuous day and night high-performance operations at microsecond time resolution while generating 10× to 1000× less data.

Published: December 2021
machine vision
Machine vision, also known as computer vision or computer sight, refers to the technology that enables machines, typically computers, to interpret and understand visual information from the world, much like the human visual system. It involves the development and application of algorithms and systems that allow machines to acquire, process, analyze, and make decisions based on visual data. Key aspects of machine vision include: Image acquisition: Machine vision systems use various...
computer vision
Computer vision enables computers to interpret and make decisions based on visual data, such as images and videos. It involves the development of algorithms, techniques, and systems that enable machines to gain an understanding of the visual world, similar to how humans perceive and interpret visual information. Key aspects and tasks within computer vision include: Image recognition: Identifying and categorizing objects, scenes, or patterns within images. This involves training...
BusinessPropheseemachine visioncomputer visionimage classificationSensors & DetectorsOpticsroboticsBiophotonicscell therapyInventors Communityspace debris

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