passframe.

Traditional image sensors would passCapture multiple still images per secondto record scene motion.

If this series of images is displayed in succession at a fast enough speed, human vision can produce the illusion of “this is continuous motion”.

But for a computer, no matter how fast the rate is, some motion information is always lost from frame to frame.

So, is there a way to make the machinecontinuousWhat about “seeing” sports scenes or events?

Let’s take a look at what Prophesee has to offer today“Neuromorphic Robot Eye”.

Inspired by the human eye

This technology company is committed to the research and development of neuromorphic vision systems, and its event-based vision sensors have been used in photography, autonomous driving, industrial automation, medical and other fields.

The company’s CEO and co-founder Luca Verre holds a double master’s degree in physics, electronics and industrial engineering from the Politecnico di Milano and the Ecole Centrale Paris.

Also worked as an engineer at Toyota Motor Corporation and Altis Semiconductor.

At the press conference on July 6, Proffess announced the C round of financing, led by Innovation Works, followed by Xiaomi and Shanghai Weihao Chuangxin, and several old shareholders increased their stakes.

This is also another European AI startup that can enter the Chinese vision after DeepMind this year.

Prophase’s advanced technology in the field of neuromorphic vision will open up more possibilities and opportunities for the development of AI and machine vision technology, and help more industries achieve automation, safety and efficiency improvements.