Ceva Introduces Computer Vision Software Library
Jan 08, 2013 (Close-Up Media via COMTEX) --
Ceva, Inc., a licensor of silicon intellectual property platform solutions and DSP cores, announced Ceva-CV, a new computer vision software library for the development of vision-enabled applications targeting mobile, home, PC and automotive applications.
According to a release, the software library enables application developers to add vision capabilities to System-on-Chips incorporating the Ceva-MM3101.
Ceva-CV is based on OpenCV, a standard library of programming functions for computer vision processing. Ceva-CV contains key CV kernels and algorithms required for application developers targeting mobile computing, PCs, smart TVs, natural user interface devices and advanced driver assistance systems.
"The introduction of the Ceva-CV computer vision libraries is the result of more than 100 man years of engineering invested in developing computer vision platforms and applications," said Eran Briman, vice president of marketing at Ceva. "Together with our partners and customers in this rapidly developing technology field, we identified more than 500 of the most critical functions to support, and adapted these to ensure maximum power efficiency in embedded applications. Computer vision software programmers can easily add these functions to any Ceva-MM3101 enabled SoC and leverage the Ceva-MM3101 vector processor engine and C-level compiler to enable outstanding performance for their target application."
"The addition of Ceva's OpenCV-based computer vision libraries to the Ceva-MM3101 imaging and vision platform is a significant step forward for the development of embedded vision applications," said Jeff Bier, founder of the Embedded Vision Alliance. "Embedded vision applications are diverse and performance-hungry. By providing a large library of optimized software building blocks, Ceva is enabling application developers to more easily create embedded vision applications on SoCs based on the Ceva-MM3101. I commend Ceva on this exciting and important development in their computer vision roadmap."
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