Contact lens casting mold printing quality detection method and device

Abstract

The invention relates to a contact lens casting mold printing quality detection method and device. According to the method and the device, edge detection and monochromatic separation extraction are performed on the casting mold image, and the casting mold image is compared with the template image, so that detection of flaws such as printing offset, overall color difference, monochromatic color difference, ink shortage and stains is realized. By automatically detecting the printing quality of the contact lens casting mold, the disadvantage of manual detection is avoided, false detection caused by human subjective factors is reduced, the production efficiency is improved, and the labor demand is reduced.

Description

technical field [0001] The present disclosure relates to the technical field of optical detection, in particular to a method and device for detecting the printing quality of a contact lens casting mold. Background technique [0002] At present, the method of testing the printing quality of color contact lens molds is basically manual subjective visual inspection. Production line workers who have received 3-6 months of professional training will check the printing problems of the molds with eyes or with the help of a microscope under a specific lighting environment. This detection method has the following shortcomings: taking people's subjective perception as the detection standard, the detection conclusions of different people may be different, and it is difficult to unify, and there is a lack of theoretical basis; manual detection for a long time leads to fatigue, and it is easy to produce wrong judgments; detection Efficiency is lower. [0003] There are also detection sy...

AI Technical Summary

Problems solved by technology

This detection method has the following deficiencies: it takes people's subjective perception as the detection standard, which may lead to differences in the detection conclusions of different people, which is difficult to unify, and there is a lack of theoretical basis; manual long-term detection leads to fatigue, which is prone to misjudgment; less efficient

[0003] There are also detection systems and methods for color defects of contact lenses, but they do not detect casting molds, resulting in a high scrap rate, and can only detect a single defect of color defects, which has relatively large limitations

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