CEVA Inc. announced CEVA-CV, a new computer vision (CV) software library for the development of vision-enabled applications targeting mobile, home, PC and automotive applications. Optimized for the CEVA-MM3101 imaging & vision platform, the software library enables application developers to simply and efficiently add vision capabilities to System-on-Chips (SoCs) incorporating the CEVA-MM3101. CEVA-CV is based on OpenCV, a standard library of programming functions for computer vision processing.

Including more than 500 of the most frequently used computer vision functions, CEVA-CV contains key CV kernels and algorithms required for application developers targeting mobile computing, PCs, smart TVs, natural user interface (NUI) devices and advanced driver assistance systems (ADAS). These functions include both simple CV kernels such as filters, histogram and affine transform as well as sophisticated CV algorithms including FAST, RANSAC, Connected Components and MSER. The complete set of libraries has been fully optimized using company's C-level compiler for the CEVA-MM3101 imaging & vision platform.

This significantly shortens development time and simplifies the development process by eliminating the need for the programmer to understand the processor architecture, allowing them to develop in high-level languages. The CEVA-MM3101 is a unique, fully programmable platform dedicated to addressing the extreme computational needs of the most sophisticated image enhancement and computer vision applications. By off-loading the device's main CPU and replacing multiple hardwired accelerators for performance-intensive imaging and vision processing tasks, the highly-efficient CEVA-MM3101 dramatically reduces the power consumption of the overall system, while providing complete flexibility.

Target applications for the CEVA-MM3101 include advanced image enhancement applications (including super resolution, HDR and video stabilizer), NUI applications (including gesture recognition, face recognition and gaze detection), ADAS applications (including forward collision warning- FCW, lane departure warning -- LDW and pedestrian detection -- PD), computational photography, and video analytics.