Application of Image Recognition Technology Based on Artificial Intelligence in Operation Control of Production Domain

Abstract

The application of image processing technology and intelligent recognition technology in power equipment image recognition and analysis is a new method to monitor the operation status of power equipment. Especially in the high voltage, dangerous and harsh environment, it can obtain the operation status of power equipment in real time. At the same time, this method can reduce the workload of dispatchers and improve the automation degree of on-line monitoring. In this paper, a set of image processing and recognition methods for fault detection are proposed, in which the maximum inter class variance method selection threshold, sequential similarity method identification, frame difference method judgment and other methods are used for on-line monitoring of power equipment, which replaces the traditional manual inspection and improves the efficiency. The experimental results show that this image recognition method integrates the advantages of various technologies, and the processing results are more accurate.