Motion detection system of moving objects using image processing

Abstract

This research introduces motion detection through image processing by utilizing signals from an image processing system to control various electrical systems automatically. For motion detection in a room with controlled constant lighting, calculations involve matrix-based data derived from pixel counts in image frames taken by a webcam. Experimental trials and result analysis involve comparing the number of image points generated by various natural human behaviors. The average motion detection value for a single person in the experiment exceeds 230,000 pixels. The motion of a single person is detected within an 8 x 16-meter room with controlled lighting at 70 Lux. The detected motion is used to automatically control various electrical systems for convenience and to reduce electricity consumption in unoccupied areas. This not only helps decrease overall electricity usage but also contributes to mitigating global warming. Furthermore, it serves as a cost-effective alternative to expensive sensor-based detection methods. The image processing system can also be configured to record in closed-circuit camera format.