Nextchip licenses CEVA imaging and vision platform for ADAS vision system
CEVA, Inc. announced that Nextchip Co. Ltd. has licensed the CEVA-XM4 imaging and vision platform for its APACHE4 vision-based pre-processor targeted at real-time advanced driver assistance system (ADAS) vision systems. Nextchip has incorporated CEVA's programmable vision platform into the APACHE4 alongside its differentiated image processing accelerators to enable advanced and affordable ADAS applications.
Kyoungsoo Kim, CEO of Nextchip, commented, "We developed the APACHE4 to provide affordable and scalable ADAS systems for the mass market. CEVA's industry-leading vision platform adds a high degree of flexibility to our solution to enable differentiated, machine vision-related ADAS products. CEVA's long-standing experience and success in computer vision and artificial intelligence makes them the ideal partner for Nextchip to address new generations of ADAS systems."
APACHE4 is a vision-based pre-processor SoC targeting next-generation ADAS systems. With a dedicated subsystem of image processing accelerators and optimized software, APACHE4 is designed to reduce the main ECU's workloads by as much as 70% with improved performance, to allow all detection algorithms to operate simultaneously. The APACHE4 incorporates dedicated detection engines that include pedestrian detection, vehicle detection, lane detection, and moving object detection. The embedded CEVA-XM4 imaging and vision platform enables customers to develop differentiated ADAS applications using high-level software programming, according to company officials.
Gideon Wertheizer, CEO of CEVA, said, "Nextchip's selection of the CEVA-XM4 is another endorsement of the unique capabilities of our vision IP and its value proposition for the ADAS market. The APACHE4 brings key ADAS features within reach of every car manufacturer and model, moving us closer to a world of enhanced driver safety and, ultimately, safer roads."
The CEVA Application Development Kit includes CEVA-Link for software level integration with a host processor, a range of software algorithms, the CEVA Deep Neural Network (CDNN2) real-time neural network software framework, and development and debugging tools.