While the Kinect camera does an excellent job of tracking a user's limbs and hands, it is difficult to distinguish and track a user's fingers because the sensor image data can be noisy when looking at fine detail. But by using the Kinect camera and its software development kit in conjunction with CogniMem's CM1K cognitive computer chip, engineers Bill Nagel and Chris McCormick have developed a solution to overcome that problem. The system they created uses the Kinect camera to provide the skeleton and depth field information, while the CM1K device—which sports 1024 neurons working in parallel—enhances the image data by comparing the overall shape of the hand with a database of trained examples so that different finger gestures can be recognized.
What Were the Top Vision Systems Stories in 2012? - Go to first slide>>