The race between traditional car manufacturers and high-tech giants to put the first autonomous vehicle on the road has created a strong impetus to re-imagine life on board. Among these companies, the automotive manufacturer Valeo stands out by taking up the challenge of an individualized experience within a collective space. It focuses on Ambient Intelligence, and develops a series of technologies that will allow them to better understand users in order to anticipate their needs and improve their experience.
Valeo wants to develop an individualized thermal control system within the cockpit. This system automatically adjusts the temperature according to each passenger’s specific needs.
To do so, smart sensors within the car capture information on the passengers. One of these sensors is an infrared camera. Thanks to deepomatic, Valeo’s Thermal System Team created a system capable of analyzing the gender and layers of clothing of the passengers. Because of connectivity and security constraints, the resulting artificial intelligence system has to be deployed locally. As deep-learning technology requires a lot of computing power, engineers at deepomatic adapted the image recognition models so that they could function directly in the car without access to the cloud and on restricted power hardware.
At CES (Consumer Electronic Show) in January 2018 in Las Vegas, Valeo showcased their concept-car, referred to as “Smart Cocoon”, displaying several innovations in its cockpit including their new individualized thermal control system.