OmniVision and Jungo collaborate to enable driver and passenger monitoring capabilities
OmniVision Technologies, Inc., announced the availability of an evaluation kit developed in collaboration with Jungo Connectivity. The kit combines Jungo's CoDriver software development kit (SDK)—featuring deep-learning, machine-learning, and computer-vision algorithms—with OmniVision's OV2311, a high-resolution CMOS image sensor built on the OmniPixel3-GS global shutter technology.
"Increasingly advanced capabilities are necessary to enable safer and more intelligent automotive systems that will power not only next-generation ADAS, but also the first fully autonomous vehicles," said Cliff Cheng, Senior Director of Automotive Marketing at OmniVision. "For all of these next-generation occupant monitoring and identification applications, the ability to perform optimally in low- or no-light conditions is a must. OmniVision and Jungo's combined solution provides customers such high performing, time-to-market solution."
The companies say that the combination of Jungo's SDK and OmniVision's image sensor provides automotive designers with the tools to obtain a complete, real-time picture of the driver's condition—regardless of the lighting conditions. Vehicles designed using this evaluation kit will be able to accurately determine whether the driver is ready to take control in a semi-autonomous emergency scenario. If not, the vehicle can take an alternative action, such as pulling off the road and parking. In a fully autonomous experience, the sensors and software provide reliable information about the passengers' characteristics, possessions, and emotional and medical states.
"We partnered with OmniVision because their OV2311 image sensor offers optimal performance and compact form factor for in-cabin monitoring applications," said Ophir Herbst, CEO of Jungo Connectivity Ltd. "In combination with our CoDriver SDK, which provides a user-friendly environment for designing with our leading-edge deep-learning, machine-learning, and computer-vision algorithms, automotive developers have everything they need to quickly take their occupant monitoring and identification systems to the next level."
The kit's OV2311 high-resolution, 2-MP, 3-µm pixel-size sensor features a frame rate of 60 fps and an optical form factor of 1/2.9 inches an automotive chip-scale package (a-CSP) that is Automotive Safety Integrity Level (ASIL) B and AEC-Q100 qualified. Additionally, the sensor can control an infrared LED to sync with the exposure interval to capture extremely clear images in low- or no-light conditions. The OV2311 also achieves high near-infrared quantum efficiency, which minimizes the amount of LED illumination power required in total darkness.
Version 1.5 of Jungo's full CoDriver SDK is included in the kit, featuring both whole-cabin and driver-only monitoring configurations. The SDK has been configured and tested to perform optimally with OmniVision's OV2311 image sensor, in real time and using a live video stream.
Available now, this joint evaluation kit from OmniVision and Jungo will be demonstrated at OmniVision's CES 2018 private suite.