Abstract: A color-recognition camera comprises a red-green-blue CCD-imaging device that provides an analog RGB-video signal. A set of three analog-to-digital converters convert the analog RGB-video signal into a digital RGB-video signal. A digital comparator tests the digital RGB-video signal pixel-by-pixel for a match against a color setpoint. If a match occurs, a pixel with a particular color represented by the color setpoint has been recognized and a “hit” is output. A pixel address counter provides a pixel address output each time a “hit” is registered. The number of hits per video frame are accumulated, and a color-match area magnitude value is output for each frame. Alternatively, neural networks are used to indicate hits when a pixel in the video image comes close enough to the color setpoint value. Just how close can be “learned” by the neural network.