Implement of an automated unmanned recording system for tracking objects on mobile phones by image processing method

Abstract

The use of the “selfie camera”, which records many images and videos and shares them with others. Although this system is complex owing to its use of software-intensive technologies from the field of image processing, such as face detection, CAM-Shift, and FFMPEG, it has considerably better performance and efficiency than the existing unmanned recording system, which uses infrared signals in hardware-intensive technologies. This paper describes an unmanned recording system for tracking an object via image processing. Such a product had not been previously developed in the area of mobile phones. Therefore, this paper compared the developed product with the two best existing products that track via infrared signal rather than by image processing. We propose a system consisting of a commercially available mobile camera (on an ‘Android’ mobile OS), a servomotor for rotating the smartphone camera to the right or left, a micro-controller (‘Arduino’) for controlling the motor, and a wireless Bluetooth ear set for audio input.