The respective pioneers in AI-based camera perception software and System-on-Chip design and development will work together to bring state-of-the-art object recognition to the global automotive industry
StradVision has announced a collaboration with Socionext Inc., a leading supplier of System-on-Chip (SoC) solutions, to bring StradVision’s deep learning-based camera perception software SVNet, to the global market.
Through this collaboration, the two companies will provide state-of-the-art object recognition technology with software and hardware specialized for deep learning to the Advanced Driver Assistance Systems (ADAS) and autonomous driving markets.
StradVision’s pioneering SVNet software allows vehicles to detect and recognize objects on the roads. It performs well even in harsh weather conditions and is able to prevent traffic accidents by processing collected road data with high speed and accuracy.
Compared with competitors, SVNet is compact, requires dramatically less memory capacity to run, and consumes less electricity. It can also be customised for any hardware system thanks to StradVision’s patented and cutting-edge Deep Neural Network enabled software.
SVNet is currently used in mass production models of ADAS and autonomous driving vehicles that support safety function Levels 2 to 4, and will be deployed in more than 8.8 million vehicles worldwide.