Abstract:

In order to meet the demands of safety monitoring on small private workplace, this paper designs and implements a remote automatic video monitoring system with real-time, convenience, operability, low-cost and high-reliability. The system starts from the functional theory of the monitoring system, combines with the development of the computer image processing technology, captures image through a CMOS(Complementary Metal-Oxide-Semiconductor Transistor) cam
era, implements face recognition on the basis of OpenCV, and generates the trigger condition according to the result of face recognition and detection of moving
 things in the videos. According to the trigger condition, the SIM900A module will send alarming message to the user specified phone via the GSM（Global System for Mobile Communications） network. As a typical application of the combination of computer image processing and GSM network, when the target breaks
 into the monitored area, the system can give an alarm to the users phone in a timely manner, with high reliability and practicability by effectively handling
 such interference as noise.

Key words: computer image processing, face recognition, SIM900A, global system for mobile communications(GSM), remote automatic video monitoring