Insulation terminal defect recognition method based on patrol robot
A technology for inspection robots and insulated terminals, which is applied in character and pattern recognition, instruments, computer components, etc., and can solve problems such as inaccurate detection and recognition, large changes in target scale and angle, and large targets affected by light.
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[0145] A method for identifying defects of insulated terminals based on inspection robots, including the following steps:
[0146] Step 1. For each inspection point, select a centered image of the insulated terminal taken at the inspection point as the template image, such as figure 2 As shown, the SVM multi-classifier is trained using the set of images of insulated terminals collected in advance;
[0147] Step 1-1. Prepare the training sample set, specifically:
[0148] (1) Collect 100,000 pictures with insulated terminals, take pictures of insulated terminals without appearance defects as a positive sample set, and take pictures of insulated terminals with appearance defects as a negative sample set;
[0149] (2) Cut out the picture and delete the redundant information except the insulated terminal graphic;
[0150] (3) Scale the picture to a rectangle with a length and width of 48 pixels;
[0151] Step 1-2, extract the HOG features of the positive and negative samples, specifically:...
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