Designing Machines That See.

The gift of sight... This amazing ability brings our world into vivid, colorful focus and allows us to understand and interact with our surroundings. Our visual senses extend our awareness to the world beyond our reach, while we process vast amounts of information to make rapid decisions about what we are seeing.
System designers have dreamed for years of the tremendous capabilities that will be unleashed when machines finally gain the gift of sight. More about The Alliance.

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Featured Industry Analysis

Welcome to the Embedded Vision Alliance!

by Jeff Bier
President o of BDTI and founder of the Embedded Vision Alliance

April 2013 Embedded Vision Summit Keynote: "Artificial Intelligence for Robotic Butlers and Surgeons," Professor Pieter Abbeel, University of California, Berkeley

April 2013 Embedded Vision Summit Presentation: "Algorithms for Object Detection and Tracking," Tim Jones, MathWorks

April 2013 Embedded Vision Summit Presentation: "Software Approach for Easing Embedded Acceleration of OpenCV Applications," Mark Kulaczewski, videantis

April 2013 Embedded Vision Summit Presentation: "Challenges and Opportunities in Accelerating OpenCV," José Alvarez, Xilinx

April 2013 Embedded Vision Summit Overview Presentation: "What Can You Do With Embedded Vision?," Jeff Bier, Embedded Vision Alliance

CEVA and iOnRoad Lane Departure Warning Demonstration

In this demonstration, you will see how the CEVA-MM3101 is used to implement a lane departure warning system. This application uses software from CEVA partner iOnRoad, an award-winning technology provider for personal driving assistance. The two companies have integrated and optimized the iOnRoad software for use with camera-enabled devices.

CEVA and eyeSight Natural User Interface Gesture Recognition Demonstration

In this demonstration, you'll see the power of the CEVA DSP platform and gesture recognition technology from partner and fellow Embedded Vision Alliance member eyeSight. The CEVA-plus-eyeSight solution supports multiple hand gestures as well as palm detection and tracking, handles multiple users, works up to 4.5 meters away from the device, and operates in low light conditions.

CEVA Natural User Interface Face Recognition Demonstration

In this demonstration, the power and flexibility of the CEVA-MM3101 is shown enabling an advanced face recognition capability, which could be implemented for video conferencing, gaming social networking or automotive applications. A simple HDMI connection between the video input device -- a handheld video camera, for example -- and the CEVA-based board is all that is required.