Design and Implementation of Face Detection on a Raspberry Pi Robot

Abstract

Effective face detection in real-time is an essential procedure for achieving autonomous motion in telepresence robots. Since the procedure demand high computation power, using it to create autonomous motion in low-cost robots is a challenge. This paper addresses this issue and making three contributions. First, the process to enabling the real-time face detection on Raspberry Pi’s graphical processor is presented. Second, the development of an autonomous robot to follow an interlocutor face using two Raspberry Pi-1 model B is demonstrated. Third, the evaluation on resource requirements when operating the robot in various scenarios is described. In our project , we made use of some functions (in Matlab) that together make up the Viola-Jones face detection algorithm.We built a robot that tracks the movement of a face from the video stream using Matlab and Raspberry Pi’s.