Videos

The face detection demo algorithm included in the C6748 Sys/BIOS software development kit demonstrates the capability of the device to capture images, process the images on a TI C6748 DSP and then display the images on the output. OpenCV's cxcore library is used to identify a face. The input is captured using a standard composite […]

The fingerprint recognition demonstration provided in the TMS320C6748 DSP Sys/BIOS software development kit offers a starting point for developing and demonstrating the real-time intelligence of TI's C674x DSPs. video platformvideo managementvideo solutionsvideo player

CogniVue's blind spot detection demonstration illustrates how the CV220X, a 9x9mm2 package device consuming less than 250mW of power, can be embedded and used in a camera module in a vehicle's side mirror. In this demonstration, vehicles entering a 3 meter blind spot of the host vehicle are detected and tracked. The indicator turns red

CogniVue's motion detection and tracking demonstration shows how an individual's motion is identified and tracked. This basic demonstration software runs on the CV220X Image Cognition Processor, a low power, 9x9mm2 SoC designed specifically for image processing and pattern detection/recognition functions, useful in a variety of computer vision applications.

CogniVue's smart enhanced backup camera application software runs on the CV220X family of Image Cognition Processors and provides a complete smart rear view application for ensuring driver safety while reversing, in order to avoid back-over accidents and collisions. The software performs wide angle lens distortion correction, object detection, and distance estimation in real-time using a

CogniVue's collision avoidance system demonstration uses the CV220X Image Cognition Processor to detect and track a vehicle's lane as well as detect and track an obstacle vehicle in the path of the host vehicle. An alarm indicator signals when the obstacle vehicle comes within a warning threshold distance. The CV220X offers the best performance, per

CogniMem’s Chris McCormick, applications engineer, demonstrates how the addition of CogniMem’s general-purpose and scalable pattern recognition technology can be used to add hand  gesture control to applications like Google Earth, in combination with the Microsoft Kinect. Cognimem CM1K is a massively parallel pattern recognition hardware accelerator than can learn and recognize in real time, as

This example game is being played using only hand gestures, by means of a Microsoft Kinect paired with a CogniMem Technologies CM1K neural network processor. The extended multi-level play is suggestive of the robustness of the implementation. No modifications were made either to the game itself or to the Kinect peripheral. For more, see this

Omek Interactive's President, Jonathan Epstein, presents the latest embedded vision news regarding the company's products at the March 2012 Embedded Vision Alliance Summit.

Apical's Noman Hashim, Vice President of Sales for America and Europe, presents the latest embedded vision news regarding the company's products at the March 2012 Embedded Vision Alliance Summit.