Design and Implementation of Image Recognition System Based on AI Intelligent Video Technology

Based on the research of AI (Artificial Intelligence) technology and image recognition technology, this article designed a monitoring and recognition system around the principle of universality. Image data collection is achieved by using external devices such as scanners to digitize and store data; Image preprocessing is the enhancement processing of scanned images to achieve a certain degree of visual change to meet certain requirements. The main work includes: image gray correction (histogram equalization, linear and nonlinear transformation of histogram), image noise reduction, and image tilt correction; the image segmentation and recognition part can achieve dynamic cutting of images, and extract images of specific regions, thus analyzing and processing them to obtain accurate information. In image recognition rate monitoring, the recognition rate of personnel leaving the monitoring range without permission was 94%. The system used in this article met the predetermined requirements of the design.