industry news
Subscribe Now

CEVA Introduces Comprehensive Computer Vision Library Optimized for CEVA-MM3101 Imaging & Vision Platform

MOUNTAIN VIEW, Calif., – January 03, 2013 – CEVA, Inc. (NASDAQ: CEVA), the leading licensor of silicon intellectual property (SIP) platform solutions and DSP cores, today 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 CEVA’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 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 (http://www.Embedded-Vision.com).  “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.”

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. For more information, visit www.ceva-dsp.com/CEVA-MM3101.html.

About CEVA, Inc.

CEVA is the world’s leading licensor of silicon intellectual property (SIP) DSP cores and platform solutions for the mobile, portable and consumer electronics markets. CEVA’s IP portfolio includes comprehensive technologies for cellular baseband (2G / 3G / 4G), multimedia (computer vision, image enhancements and HD audio), voice over packet (VoP), Bluetooth, Serial Attached SCSI (SAS) and Serial ATA (SATA). In 2011, CEVA’s IP was shipped in over 1 billion devices and powers handsets from every top handset OEM, including Nokia, Samsung, HTC, LG, Motorola, Sony, Huawei and ZTE. Today, more than 40% of handsets shipped worldwide are powered by a CEVA DSP core. For more information, visit www.ceva-dsp.com. Follow CEVA on twitter at www.twitter.com/cevadsp.

 

Leave a Reply

featured blogs
May 2, 2024
I'm envisioning what one of these pieces would look like on the wall of my office. It would look awesome!...
Apr 30, 2024
Analog IC design engineers need breakthrough technologies & chip design tools to solve modern challenges; learn more from our analog design panel at SNUG 2024.The post Why Analog Design Challenges Need Breakthrough Technologies appeared first on Chip Design....

featured video

MaxLinear Integrates Analog & Digital Design in One Chip with Cadence 3D Solvers

Sponsored by Cadence Design Systems

MaxLinear has the unique capability of integrating analog and digital design on the same chip. Because of this, the team developed some interesting technology in the communication space. In the optical infrastructure domain, they created the first fully integrated 5nm CMOS PAM4 DSP. All their products solve critical communication and high-frequency analysis challenges.

Learn more about how MaxLinear is using Cadence’s Clarity 3D Solver and EMX Planar 3D Solver in their design process.

featured paper

Altera® FPGAs and SoCs with FPGA AI Suite and OpenVINO™ Toolkit Drive Embedded/Edge AI/Machine Learning Applications

Sponsored by Intel

Describes the emerging use cases of FPGA-based AI inference in edge and custom AI applications, and software and hardware solutions for edge FPGA AI.

Click here to read more

featured chalk talk

GaN Solutions Featuring EcoGaN™ and Nano Pulse Control
In this episode of Chalk Talk, Amelia Dalton and Kengo Ohmori from ROHM Semiconductor examine the details and benefits of ROHM Semiconductor’s new lineup of EcoGaN™ Power Stage ICs that can reduce the component count by 99% and the power loss of your next design by 55%. They also investigate ROHM’s Ultra-High-Speed Control IC Technology called Nano Pulse Control that maximizes the performance of GaN devices.
Oct 9, 2023
26,749 views