Applications involving human face recognition are very broad with an important commercial impacts.
The variability of human faces as well as their similarity and the influence of other features like beard, glasses, hair, illumination, background etc., make face recognition or face detection difficult to tackle. It also included the study and design of a multi-scale face detection method. A face database and a camera were available to make tests and perform some benchmarking. This has beeen achieved. Evaluation of the face detection capability of the employed neural networks were demonstrated on a variety of still images.