Application of Computer Image Recognition Technology in Campus Monitoring

Abstract

Abstract. Based on the application of computer image recognition technology in university campus monitoring, to automatically realize the intelligent management of university by image recognition technology, this scheme could be used in the practical application of campus situation monitoring, face recognition, campus anomaly monitoring, fire prevention and theft, etc. In the process of intelligent automatic monitoring, we could make use of sound, light, electricity, mobile communication and so on for early warning; it could also analyses the behavior characteristics of university personnel, and automatically form monitoring reports and reports. Finally, the Java language was used to implement the algorithm, and the video and audio stream scheme FFmpeg was used to intercept the monitored video. The image processing was mainly called open source cross platform computer vision library, Opens, to decompose and recognize the face in the image. The simulation experiment results showed that the image recognition algorithm based on image fingerprint had short operation time and high efficiency. This method can effectively monitor and monitor the abnormal changes of campus, face recognition, statistical time and the number of colleges and universities, and can monitor and judge the accidents such as fire and theft.