王敏,郑鹏.基于机器视觉的拆回旧电表参数信息检测技术研究[J].电测与仪表,2023,60(9):171-176. WANG Min,ZHENG Peng.Research on detection technology of parameter information of old electric meters removal based on machine vision[J].Electrical Measurement & Instrumentation,2023,60(9):171-176.
基于机器视觉的拆回旧电表参数信息检测技术研究
Research on detection technology of parameter information of old electric meters removal based on machine vision
In view of the problem of low accuracy and low efficiency of manual verification for the recycling classification of old smart meters, this paper proposes a method of parameter information detection based on machine vision. By detecting the rated parameter information of smart meters, the meter is completed Classified recycling work. First, based on the establishment of a smart meter image detection system using c # and halcon as software platforms, the Blob analysis algorithm is used to first extract the ROI (region of interest) of the image, and use the histogram equalization to process the extracted image. To enhance the contrast between the background and the target area, obtain a high-quality meter image, improve the Canny edge detection algorithm through the OTSU algorithm, improve the adaptability of the image threshold range, obtain a more complete image appearance contour, and finally the image Perform character segmentation processing to obtain the rated parameter information of the meter. After experimental verification, this method can accurately detect the rated parameter information of the identification plate of the electric meter. The experimental data shows that the detection accuracy rate is 99.5%, and the average test time of each meter is 0.62s, which greatly saves the verification time of the meter classification work Improve the efficiency and accuracy of the work.
