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.

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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.”

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