StradVision, which specializes in AI-based camera perception for ADAS systems and Autonomous Vehicles, has announced it is developing Animal Detection capabilities for its deep-learning based SVNet software. 

In the U.S. each year, there are more than 1.5 million deer-related accidents, which cause around 200 human deaths and 10,000 injuries, plus more than $1 billion in property damage.

Accurate vision processing software is critical for the development of autonomous vehicles in the mass market, and at the core of this technology is strong deep-learning ability of the camera software.

Sunny Lee, COO at StradVision, spoke at the Autotech Council Meeting: Sensor Innovation for Transportation and Mobility at the Sensors Expo & Conference in San Jose about the bold advances being made in camera technology for autonomous vehicles.

Lee spoke about the breakthroughs being made via StradVision’s lean SVNet software, which can be run on automotive chipsets at significantly more affordable cost levels. StradVision aims to provide the first deep learning-based software provider fully compatible with Automotive Safety Integrity Level B (ASIL B), for functional safety.