ON Semi demos vehicle cabin monitoring system

ON Semiconductor demonstrating a complete in-cabin monitoring system
ON Semiconductor has developed a complete in-cabin monitoring system comprising multiple image sensors, Ambarella’s CV2AQ System-on-Chip (SoC), and Eyeris’ AI software. (On Semiconductor)

ON Semiconductor is demonstrating a complete in-cabin vehicle monitoring system comprising driver monitoring and occupancy monitoring functions at this week’s AutoSens Conference in Brussels, Belgium.

The demonstration includes multiple sensor types from ON Semiconductor—the 1 Megapixel (MP) Global Shutter AR0144AT image sensor and three 2.3 MP RGB-IR image sensors. This multi-camera system utilizes Ambarella’s CV2AQ System-on-Chip (SoC) that processes real-time high-quality RGB-IR video and integrates Eyeris’ AI software performing complex body and facial analytics, passenger activity monitoring, and object detection.

The RGB-IR CMOS image sensor technology provides full HD 1080p output using a 3.0 µm backside illuminated (BSI) and three-exposure HDR. Sensitive to both RGB and IR light, the sensors can capture color images in daylight and monochrome IR images with NIR illumination.

Free Newsletter

Like this article? Subscribe to FierceSensors!

The sensors industry is constantly changing as innovation runs the market’s trends. FierceSensors subscribers rely on our suite of newsletters as their must-read source for the latest news, developments and analysis impacting their world. Register today to get sensors news and updates delivered right to your inbox.

RELATED: Partners Develop RGB-IR Solution for Automotive Cabin Monitoring

“Important safety systems such as child presence detection as well as convenience functions are next-generation features that our customers are developing now. Our broad portfolio of automotive sensors is engineered to deliver these capabilities for in-vehicle applications,” said Ross Jatou, VP and General Manager for ON Semiconductor’s Automotive Sensing Division, in a statement. “Furthermore, strong collaboration between sensor, processor and software companies is imperative to optimize performance and accelerate time-to-market of these in-cabin systems.” 

Ambarella VP of Marketing Chris Day added, “Our CV2AQ SoC combines our proprietary CVflow DNN engine and high-performance image processing. Paired with ON Semiconductor’s diverse in-cabin sensor portfolio and Eyeris’ scene understanding AI, we are able to achieve a system capable of meeting the industry’s growing demand for vision-based in-cabin solutions.”

Suggested Articles

In June, Su stood out for heartfelt commentary on social injustice after the killing of George Floyd. She challenges industry to do more.

New chip will be incorporated in coffee mug-sized device to cost $199 next year

In a nutshell, Edge ML is a technique by which smart devices process data locally using machine and deep learning algorithms.