Business Wire: eyeSight announces that its gesture control technology has been integrated into AMD’s upcoming Accelerated Processing Unit (APU) platforms, “Richland” and “Temash”; intended primarily for desktop, laptop and tablet PCs. With eyeSight’s gesture recognition closely optimized and integrated into AMD Gesture Control, “Richland” and “Temash” APU solutions are able to process gestures with optimal speed, accuracy and efficiency.
By running the video processing algorithms on the upcoming APUs, eyeSight was able to reach remarkably low CPU consumption compared to running on traditional X86 CPUs. In some cases, the processing time has even been reduced by a factor of 20x- allowing eyeSight to introduce additional code and significantly increase recognition accuracy.
eyeSight's gesture recognition is based on a regular 2D webcam.
By running the video processing algorithms on the upcoming APUs, eyeSight was able to reach remarkably low CPU consumption compared to running on traditional X86 CPUs. In some cases, the processing time has even been reduced by a factor of 20x- allowing eyeSight to introduce additional code and significantly increase recognition accuracy.
eyeSight's gesture recognition is based on a regular 2D webcam.
