According to Yole Développement, the accelerated market drive for DMS is expected to generate a 56% CAGR between 2020 and 2025. This is being driven by the European Union’s Euro NCAP requirement that all new cars sold in the region have a DMS camera by 2022.
“Most DMS processors on the market today are not dedicated to this application, requiring added circuitry to perform other system functions that consumes more power, occupies more board space and doesn’t allow room for on-chip SDRAM,” said Brian Pluckebaum, automotive product marketing manager at OmniVision. “By focusing the design of our OAX8000 ASIC on entry-level DMS, we were able to create the automotive industry’s most optimized solution.”
The OAX8000’s on-chip NPU is supported by the popular TensorFlow, Caffe, MXNet and ONNX tool chains. Additionally, this ASIC embeds quad Arm Cortex A5 CPU cores with Neon technology for accelerated video encoding/decoding and on-chip video analytics algorithms, along with hardware for image processing, video encoding and RGB/IR processing. Its HDR processing capability allows the ASIC to accept input from RBG/IR image sensors. The integrated video encoder accepts up to 5MP captures from OmniVision’s automotive image sensors, and outputs up to 2K resolution video at 30fps.
Boot-up time for the OAX8000 is significantly faster than its nearest competitor. This rapid startup eliminates any delay between ignition and activation of the DMS camera. Additionally, it supports secure boot features to provide cybersecurity.
Other applications include processing occupant detection algorithms, such as distinguishing a baby from a grocery bag, and providing alerts when objects are left behind in the vehicle. Additionally, this ASIC can be used in automotive video security systems to perform functions such as FaceID, as well as preset driver-comfort settings (e.g., seat position) that are activated when the DMS first scans the driver’s face.
Samples of the new OAX8000 ASIC are available now. It is AEC-Q100 Grade 2 certified for automotive applications.
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