A new computer vision (CV) software library has been launched for the development of "vision-enabled" applications targeting the mobile, home, PC, and automotive markets. Built by CEVA Inc, the new library is optimized for the firm's own CEVA-MM3101 imaging and vision platform. This is positioned as a tool for application developers to add vision capabilities to System-on-Chip (SoC) systems incorporating the CEVA-MM3101. NOTE: So-called "vision enabled" applications can be found in areas such as wireless (or wired) sensor networks, mobile computing scanning apps, PCs, smart TVs, natural user interface (NUI) devices, and advanced driver assistance systems (ADAS). CEVA-CV is based on OpenCV, a standard library of programming functions for computer vision processing.
In addition, IRIS-NoiseSweeper software has also been ported to the Tensilica Vision DSP to provide premium video quality and cleaner still-images. The software is targeted at image noise reduction for high-resolution still images. The technology features an automated noise profile estimation that reduces calibration needs and shortens development time. It operates in a single frame and eliminates any motion-blurring phenomena associated with multi-frame techniques. The Tensilica family of imaging/vision DSPs was designed for the complex algorithms in imaging, video and computer vision applications including innovative multi-frame image capture, video pre- and post-processing, object and face recognition, low-light enhancement and many other complex tasks.
CEVA, Inc. (NASDAQ: CEVA), the leading licensor of signal processing IP for smarter, connected devices, today announced that Novatek Microelectronics, Taiwan's 2nd largest fabless IC design house, has licensed and deployed the CEVA-XM4 intelligent vision DSP for its next-generation vision-enabled System-on-Chips (SoCs) targeting a range of end markets requiring advanced visual intelligence capabilities. Novatek's current camera SoC lineup for car DVR and surveillance systems integrates the 3rd generation CEVA-MM3101 imaging & vision DSP and is shipping in volume. By integrating CEVA-XM4 as a dedicated vision processor in their next-generation SoC designs, Novatek and its customers can rapidly deploy highly-sophisticated vision algorithms to enable advanced applications such as surveillance systems with face detection and authentication, drone anti-collision systems and advanced driver assistance systems (ADAS). These types of applications are built utilizing CEVA's Deep Neural Network (CDNN2), a proprietary software framework that enables deep learning tasks to run on the CEVA-XM4 and outperform any GPU or CPU-based system in terms of speed, power consumption and memory bandwidth requirements. "The CEVA-XM4 is an exceptional processor for imaging and computer vision, offering outstanding performance, flexibility and power efficiency for applications requiring visual intelligence capabilities," said Allen Lu, Assistant Vice President of iVoT SBU, Novatek.
Demand is growing for faster processor architectures to support embedded vision and artificial intelligence. With the demand for image sensors growing rapidly and new opportunities emerging in the mobile, virtual reality (VR), automotive and surveillance markets, demand for applications that are able to mix vision and artificial intelligence (AI) is surging. "We are seeing work on a range of future applications from phones that automatically identify the user, to autonomous cars that are able to recognise an individual's driving style. But whatever the application, all of them are looking at vision sensors that use AI to make decisions," says Pulin Desai, Product Marketing Director for Cadence's Tensilica Vision DSP Product Line. "Each of them brings with them challenges for the design engineer.