Research on Improvement of Foreign Object Recognition Algorithm for Substation Power Equipment Based on OpenCV
The substation intelligent inspection system has the function of identifying the overlapping bird's nest on the substation's high-voltage electrical equipment and sending out alarms.However,in practical applications,the images captured by the camera usually contain multiple devices,which makes the intelligent inspection system unable to accurately determine the position of the bird's nest,or misjudge the overlapping position of the bird's nest on other devices.In order to make up for the defect that the foreign object recognition algorithm can not locate accurately,the algorithm is designed to preprocess the pictures taken by the camera and complete the separation of target equipment.The foreign object recognition of the processed image will improve the accuracy of foreign object positioning of the intelligent inspection system.
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