HATS: a new event-based object classification method
A paper recently published by Prophesee’s team presents HATS: Histograms of Averaged Time Surfaces for Robust Event-based Object Classification.
Prophesee partners with GenSight Biologics to restore vision to the blind
Prophesee partners with GenSight Biologics to restore vision to the blind using event-based sensors and optogenetics Prophesee is happy to share the ISCAS 2018 Best Demo Award with GenSight Biologics ISCAS is the flagship conference of the IEEE Circuits and Systems...
EVENT: Prophesee launches Onboard at CONTROL
Prophesee will present ONBOARD, the first event-based reference system, at CONTROL 2018 CONTROL trade fair 2018 – Prophesee will be attending CONTROL from April 24th to 27th in Stuttgart. CONTROL is an international trade fair for quality assurance uniting...
Prophesee awarded Innovation Prize 2018 by Telecom Paris Tech
The committee awarded Prophesee the Innovation prize for its work on sensors for autonomous vehicles, describing Prophesee as “at the forefront on technological innovation in the sector” (“à la pointe des innovations technologiques du secteur”) for its development of the world’s first bio-inspired machine vision system.
ARTICLE: EE Times
In the fast-growing markets for factory automation, IoT, and autonomous vehicles, CMOS image sensors appear destined for a role capturing data not for human consumption but for machines to see what they need to make sense of the world.
Dataset N-Cars
Download Prophesee’s N-CARS dataset, a large real-world event-based car classification dataset composed of 12,336 car samples and 11,693 non-cars samples.