PARIS – 7 December, 2021 - Prophesee introduced today their Inventors Community, showcasing work and innovations being driven by its Event-Based Metavision® technologies. Since 2014, a network of researchers, start-ups, academics and industry-leading companies have shown incredible imagination and creativity in applying Prophesee’s neuromorphic vision technologies to a wide range of vision-enabled use. 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.
“Our company strategy and industry focus depend on the innovation and application-specific implementation of the ecosystem around our foundation technology. We could never have anticipated the level of creativity shown from these inventors using Prophesee’s technologies,” said Luca Verre, Co-founder and CEO of Prophesee. “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.”
From giving sight back to the blind to touching cells or tracking space debris, the featured projects represent large, sometimes life-changing, breakthroughs in their various industries. Prophesee’s Event-Based Vision has enabled huge paradigm shifts in the way vision and sensor-enabled development is being done, and a large, growing community of more than 2,200 inventors is leveraging the Prophesee platform of sensors, software, and development tools.
The first featured Inventors Community projects 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. Their breakthrough PureSentry system cuts down testing time from weeks to minutes and autonomously checks a new sample for contamination every 18ms.
· Gensight Biologics: Restoring sight back 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 1 in 4,000 people born in the US 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 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, 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 (CLeAR) 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 1,000x faster than human’s sensory system and their system enabled rotational slip detection in 0.08s.
· 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 (ICNS) 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 & night high performance operations at microsecond time resolution while generating 10x to 1,000x less data.
The Inventors Community is another step towards Prophesee’s goal of building a wide-reaching Event-Based Vision ecosystem, through a comprehensive solution that includes commercial grade sensors, hardware tools and development kits for efficient experimentation and prototyping. It comes on the heels of the latest software toolkit releases, Metavision Intelligence and open source stack OpenEB, released earlier this year. By opening up the industry’s most comprehensive development environment, it provides a platform for developers to build their own custom solutions for specific requirements.
To learn more or submit a project, visit Prophesee’s website. Inventors working with Prophesee’s Event-Based Vision technologies at all stages are encouraged to reach out and submit a project to be featured in the Inventors Community.
Prophesee is the inventor of the world’s most advanced neuromorphic vision systems.
The company developed a breakthrough Event-Based Vision approach to machine vision. This new vision category allows for significant reductions of power, latency and data processing requirements to reveal what was invisible to traditional frame-based sensors until now. Prophesee’s patented Metavision® sensors and algorithms mimic how the human eye and brain work to dramatically improve efficiency in areas such as autonomous vehicles, industrial automation, IoT, mobile and AR/VR. Prophesee is based in Paris, with local offices in Grenoble, Shanghai, Tokyo and Silicon Valley.
The company is driven by a team of more than 100 visionary engineers, holds more than 50 international patents and is backed by leading international equity and corporate investors including 360 Capital Partners, European Investment Bank, iBionext, Inno-Chip, Intel Capital, Renault Group, Robert Bosch Venture Capital, Sinovation, Supernova Invest, Xiaomi.
Learn more: www.prophesee.ai