Documenting has played a huge role in many industries and everyday life. Despite that, this acquires the approach to properly follow a moving target. This may be proven not easy when the camera pilot is not available. Mobilization of cameras has been implemented in current technologies such as an automated gimbal or motorized rotating CCTV, although in this case, it may only assist the camera in moving or rotating in an axis. It cannot mobilize itself outside of its range of freedom, in which the camera might not be able to capture the object as a whole or not on an ideal angle, in which an ideal angle should represent the front view of the target's face. This paper aims to design an automated mobile camera to optimize the mobilization of video-tracking systems, The robot will differentiate and track a target's face and move accordingly to its movement. In addition, mecanum wheels are equipped to aid movements that are limited when using conventional wheels. The testing has proven to have an average accuracy of 86% in tracking a human face, the robot has also been proven to be able to move forward, backward, sideways, diagonally, and rotate in an axis to adjust the target's movement with an average accuracy of 87.5%.