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Application Research of online label defect detection based on machine vision

In industrial production, label is one of the important marks of products. In order to ensure the label quality, a visual on-line detection method is proposed to detect the label quality in the production line in real time. By building an image acquisition system to complete the image acquisition of the label, the text image information and identification image information in the label are highlighted by binarization, the region in the label is segmented and detected by morphological operation, a variety of detection methods are compared, and the histogram matching is selected to detect the label in different regions in combination with the needs of online detection. Taking the qualified label as the detection standard sample and using the designed system to detect the defective label, the defective area can be detected and located, and the detection cycle is 10.03ms, which can meet the basic online detection requirements