Face Detection and Tracking Using Image Processing on Raspberry Pi

Image processing is nowadays used as a piece of various applications. Confront area and its following is one of the basic frameworks used as a piece of the uses of image processing. in this paper we have shown an application for the improvement of the auto applications with the help of face revelation. The paper shows the examination how the assurance of the camera impacts the edge each seconds and respectably the perfect open door for stand up to acknowledgment. The image processing using OpenCV for face detection, face tracking and its recognition for automotive application is done here. We have used processor controller and common usb camera for controlling the electrical motor which in this way controls the motorized auto application. the viola-jones estimation for stand up to acknowledgment using adaboost library in this way structure relies upon adaboost computation and changed works faces haar-like highlights [5] in the item part we have used python vernacular with opencv reinforce for the face distinguishing proof using haar course records gave by intel open source. we have shown the results on layout consistently impact on stand up to distinguishing proof.