Based on the current substation power equipment fault monitoring,this paper takes the substation insulator as the object,uses machine vision technology to focus on the dual-channel image acquisition technology,power equipment target recognition and infrared interest area (ROI) automatic positioning measurement.The two-channel image information is obtained through hardware design,the insulator database is established,the insulator is effectively identified by Mask R-CNN algorithm,and the ROI area is automatically measured by infrared temperature measurement technology.A set of power equipment based on two-channel image is built.Intelligent monitoring system.The experimental results show that the proposed algorithm can achieve accurate insulator target recognition and provide a feasible visual monitoring technology for intelligent monitoring of power equipment.