Research on Intelligent Detection Method for Electrical Automation Based on Computer Vision
In order to improve the detection efficiency and accuracy of electrical equipment,a computer vision based intelligent detection method for electrical automation is proposed.Image quality is improved through image preprocessing,and computer vision al-gorithms are used to recognize the features of the preprocessed images.Test data shows that the average signal-to-noise ratio of the image after adaptive median filtering is 32.3dB,and the average structural similarity of the image is 0.91,both higher than that of mean filtering and median filtering.The average recognition accuracy of the accelerated robust feature algorithm optimized by the num-ber of feature points and screening matching is 96.1%,and the average matching success rate can reach 97.3%.The average accura-cy of computer vision based systems is 94.5%,which is higher than traditional observation and maintenance recording methods.Re-search has shown that intelligent detection methods for electrical automation based on computer vision have the potential to improve the efficiency and accuracy of electrical equipment detection.This method can be effectively applied in the field of electrical automation,achieving automated monitoring and diagnosis of the status of electrical equipment.