Design of Defect Detection Algorithm for Printed Packaging Products Based on Computer Vision

The high-speed operation of the printing press, the mistakes of the operator’s supervisor or objective, and the possible unstable factors in the printing environment may all make the printed matter unqualified. Manual inspection has great uncertainty and needs to rely on the subjective judgment of workers, so it is difficult to ensure the accuracy and consistency of printing. The detection technology based on computer vision is to collect the image of the object with the help of a camera and use a computer to analyze and process the image information to complete the quality detection. In order to use computer technology instead of manual defect detection of printed packaging, this paper proposes a defect detection algorithm of printed packaging based on computer vision by combining image registration, automatic selection of registration area and defect detection, and verifies the effectiveness of the method through experiments. The results show that compared with the traditional wavelet transform algorithm, the printing and packaging defect detection algorithm in this paper has obvious advantages in the later stage of operation, and the error is reduced by 32.55%. This algorithm has a higher accuracy in detecting defects in printing and packaging, which is 22.48% higher than the comparison algorithm, and the recall rate is increased by 19.56%, so it can locate the edge contour of printing and packaging images more accurately.