Printing Defect Detection Method Based on Adaptive Focus

Abstract

The invention relates to the field of industrial detection, in particular to a printing defect detection method based on adaptive focal length. Including obtaining the current camera focal length to calculate the current camera acquisition range, obtaining the number of pixels in the current acquisition range and the number of line pixels, obtaining the actual length represented by a single pixel in the current acquisition range; obtaining the cycle of printed products and the line pixels in a cycle Calculate the number of classification points in the current cycle; calculate the adjustment degree of each group of data to determine the optimal adjustment degree; label each cycle category after adjustment; find the sampling frequency of the current collection range to collect printed products, and The same position of the same label area in the image collected each time is detected to determine the abnormal area. The invention compares the areas of the same type of printed images by adjusting the sampling frequency of the camera to improve the reliability of the detection results.

Description

technical field [0001] The invention relates to the field of industrial detection, in particular to a printing defect detection method based on adaptive focal length. Background technique [0002] Due to the immature printing production process, there are usually defects such as missing prints, missing prints, and multiple prints on printed products, and these defective printed products will affect the user experience, so it is necessary to detect these defective products and prohibit them. Defective products flow into the market. Most of the existing printing defect detection methods are manual visual inspection, or comparing the image to be tested with a standard template. However, due to many interference factors in the real environment, the obtained printed image often has different degrees of difference from the standard image, and cannot Judging whether these differences are defects brings great difficulties to the detection of printing defects. Contents of the inve...

AI Technical Summary

Problems solved by technology

[0002] Due to the immature printing production process, there are usually defects such as missing prints, missing prints, and multiple prints on printed products, and these defective printed products will affect the user experience, so it is necessary to detect these defective products and prohibit them. Defective products enter the market

Most of the existing printing defect detection methods are manual visual inspection, or comparing the image to be tested with a standard template. However, due to many interference factors in the real environment, the obtained printed image often has different degrees of difference from the standard image, and cannot Judging whether these differences are defects brings great difficulties to the detection of printing defects

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