Path: EDN Asia >> Product Centre >> Consumer Electronics >> CEVA improves Android computer vision real-time library
Consumer Electronics Share print

CEVA improves Android computer vision real-time library

24 Feb 2014  | Nick Flaherty

Share this page with your friends

CEVA has announced that it has included more than 250 functions to its CEVA-CV computer vision real-time library for Android processors. Together with the CEVA-CV computer vision library and CEVA's Android Multimedia Framework (AMF), the integration of CEVA-CV functions with any Android-based application processor for mobile, automotive, surveillance and consumer applications and the Internet of Things has now been made easier, stated the firm.

This, in turn, significantly increases performance and substantially lowers the power consumption of CV-enabled devices by offloading all computer vision processing from the CPU or GPU.

Recent functions added in the latest CEVA-CV release include feature detection kernels and object recognition algorithms such as Harris Corner, Hough Transform, Integral Sum, Fast, LBP, SURF, HOG, SVM, and ORB detection and matching. These are commonly used in augmented reality applications for smartphones, tablets, wearable devices, natural user interface (NUI), surveillance and advanced driver assistance systems (ADAS) applications. New optical flow kernels include KLT and Block Matching, which are used for motion detection and object tracking required in camera-enabled devices to implement applications such as digital video stabilization, augmented reality and gesture recognition. CEVA-CV now also includes kernels required by The Khronos Group's OpenVX 1.0 specification, which is set to become the key standard for cross-platform acceleration of computer vision applications and libraries. This brings the number of functions in the library up to 750.

- Nick Flaherty
  EE Times Europe




Want to more of this to be delivered to you for FREE?

Subscribe to EDN Asia alerts and receive the latest design ideas and product news in your inbox.

Got to make sure you're not a robot. Please enter the code displayed on the right.

Time to activate your subscription - it's easy!

We have sent an activate request to your registerd e-email. Simply click on the link to activate your subscription.

We're doing this to protect your privacy and ensure you successfully receive your e-mail alerts.


Add New Comment
Visitor (To avoid code verification, simply login or register with us. It is fast and free!)
*Verify code:
Tech Impact

Regional Roundup
Control this smart glass with the blink of an eye
K-Glass 2 detects users' eye movements to point the cursor to recognise computer icons or objects in the Internet, and uses winks for commands. The researchers call this interface the "i-Mouse."

GlobalFoundries extends grants to Singapore students
ARM, Tencent Games team up to improve mobile gaming


News | Products | Design Features | Regional Roundup | Tech Impact