The combined solution provides the industry with high resolution, full cockpit monitoring and safety features ASIL Class B support under full lighting conditions
Recently, OmniVision Technologies, the industry's leading developer of digital imaging solutions, announced the launch of an evaluation kit developed in collaboration with Jungo Connectivity. The kit combines Jungo's award-winning capabilities with the CoDriver Software Development Kit (SDK) for deep learning, machine learning and computer vision algorithms, and OmniVision's high-resolution CMOS image based on OmniPixel3-GSTM global shutter technology. Sensor OV2311. This evaluation kit makes it easier for OEMs and Tier-1 automotive designers to develop next-generation occupant monitoring systems.
According to the National Highway Traffic Safety Administration (NHTSA), 80% of traffic accidents are caused by distracted driving. Automakers are always looking for new ways to alleviate this problem, such as Advanced Driver Assistance Systems (ADAS) for real-time control, warnings and other reminders. In semi-autonomous vehicles, some of the increased functionality allows the driving computer to control or release control of the vehicle based on driver conditions. In fully automated vehicles, the driving system can even obtain information such as the driver's mood, mood and overall condition. “The ever-increasing state-of-the-art features are essential for a safer and smarter driving system that will help the next generation of ADAS and the development of the first fully-automated vehicle,†said CliffCheng, senior automotive marketing director at OmniVision. “For all the next generation of passengers. Monitoring and certification applications are essential for optimal control in low or no light conditions. OmniVision and Jungo's joint solutions provide consumers with high performance and marketable solutions as soon as possible.†Jungo's SDK and OmniVision The combination of image sensors provides automotive designers with the tools to capture complete, real-time images of driver conditions – and in any lighting condition. Using this design kit to design a vehicle accurately determines whether the driver is ready to take control when the semi-automatic vehicle is in an emergency. For fully automated vehicles, sensors and software provide reliable information about occupant characteristics, items held, and emotional and medical conditions. OmniVision's high-performance sensing capabilities are critical to Jungo's CoDriver software for accurate face recognition—not only for the driver, but even for the third row. “We are working with OmniVision because their OV2311 image sensor provides superior performance and compact size for cockpit monitoring applications,†said Ophiro Herbst, CEO of JungoConnectivity, “Combining our CoDriverSDK – it can be our leading design Deep learning, machine learning, and computer vision algorithms provide a user-friendly environment—automotive developers get complete design tools to quickly upgrade their ride monitoring and identification systems. The OV2311 in the kit is a high-resolution, 2 million Pixel, 3 micron pixel size sensor with a high frame rate of 60 frames per second and a small 1/2.9 inch size - all integrated into an ultra-compact automotive chip scale package (a-CSP) for automotive safety integrity Grade (ASIL) Class B and AEC-Q100 standards. In addition, the sensor controls an infrared LED to synchronize exposure intervals, capturing extremely sharp images in low light and no light. The OV2311 also provides high responsiveness in the near-infrared range, reducing the power consumption of LEDs in dark conditions.
Version 1.5 of Jungo's full CoDriverSDK is also included in this kit, including all APIs, computer vision algorithms and drivers required by automotive designers, featuring full cabin and driver only monitoring configurations. The SDK has been debugged and rigorously tested to achieve optimal performance in conjunction with OmniVision's OV2311 image sensor.
The joint evaluation kit, jointly launched by OmniVision and Jungo, is now available, offering a high-performance, cost-effective, ISO-26262-based, machine vision-based ride monitoring solution. It will also be displayed in the exclusive conference room of OmniVision during CES 2018. Please contact an OmniVision salesperson or market representative to schedule a meeting or for more information.
About Haowei Technology
OmniVision Technologies, Inc. is a leading developer of advanced digital imaging solutions. Its award-winning CMOS image technology delivers superior image quality and is used in many consumer and commercial applications, including cell phones, notebooks, tablets, webcams, digital cameras and camcorders, security surveillance, entertainment facilities, automotive And medical imaging systems, etc.
About Jungo Connectivity
Founded in 2013, Jungo Connectivity is a division of Cisco Systems' automotive software division, focusing on the development of the cockpit driving monitoring solution, CoDriver. CoDriver helps automakers develop safer vehicles and seamlessly transfer to future autonomous vehicles. Jungo's other products are powered by WinDriver, a state-of-the-art PC driver development kit, USBware, a fully integrated USB software stack, and a PCUSB communication driver.
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