Image Recognition Technology of Monitoring Intelligent Alarm System Based on Deep Learning

Abstract

The early alarm system is a mechanical alarm, which only monitors a single point. As long as an object enters the monitored place, it will send out an alarm signal mechanically and without analysis. In the image processing part, the difference or gray value comparison between the image of the foreign body and the reference image is mainly carried out to obtain the foreign body, and the obtained foreign body is segmented and edge detected to calculate the parameters such as the area, perimeter and proportional characteristics of the foreign body, and the foreign body is identified and classified by understanding the parameters, so as to further judge whether the foreign body is harmful or not. In recent years, with the rapid development of big data technology application, deep learning has maintained a strong development trend, and has realized large-scale promotion and application in important fields such as data processing, image recognition and text understanding. This paper discusses the image recognition technology of deep learning in monitoring intelligent alarm system, and further studies how to effectively recognize video images and strengthen monitoring intelligent alarm system.