Low cost face detection and tracking using Arduino UNO and processing.

Face detection is the most popular area of research in the vision of computer science, this paper reviews the function of automatic face recognition and search on video flow from observing cameras in open or business locations. It is critical detection of the people when looking, for example, exhibitions, public spaces inside buildings, and shopping malls. Web cameras were used for face recognition and tracking in the prototype, which was developed on open-source boards Arduino Uno and Processing with Open CV. This framework can be used for security purposes, such as tracing the visitor's face and detecting and tracking it. Using Open CV, a software web camera. From using proposed method, found which time taken to find the face was fewer than 0.5 s that processes of proposed method will usages the real time purposes. [ABSTRACT FROM AUTHOR]