Automatic optical detection system and contact lens surface flaw detection method thereof

Abstract

The invention discloses an automatic optical detection system and a contact lens surface flaw detection method thereof, which can find out at least one suspicious flaw on the surface of a contact lens according to a first image of the contact lens before the contact lens is moved, and then according to the first image and a second image after the contact lens is moved, can check whether the distance between the at least one suspicious flaw and the circle center of the contact lens is unchanged or not. When it is checked that the distance between the first suspicious flaw position and the circle center of the contact lens is not changed, a system host judges that the first suspicious flaw position is a flaw on the surface of the contact lens. Therefore, according to the automatic optical detection system and the contact lens surface flaw detection method, impurities in water which do not move along with the contact lens and background dirt of the carrying disc can be prevented from being misjudged as the flaws on the surface of the contact lens so that the detection accuracy is improved.

Description

technical field [0001] The invention relates to a detection system, in particular to an automatic optical inspection (Automated Optical Inspection, AOI) system and a method for detecting surface defects of a contact lens. Background technique [0002] Defects on the surface of contact lenses include holes, scars, and attached pollutants. In order to improve the efficiency of manual visual inspection, the industry currently uses AOI systems for automated inspection. The AOI system can be divided into hardware and software. The hardware part is to use the camera device with an appropriate light source to capture the image of the contact lens, while the software part focuses on the development of the algorithm. For example, through the developed surface detection algorithm, the AOI system can detect Check whether there is a flaw on the surface of the contact lens. [0003] However, the known surface detection algorithm usually captures the image of the contact lens in the hydr...

AI Technical Summary

Problems solved by technology

[0003] However, the known surface detection algorithm usually captures the image of the contact lens in the hydration process and compares it with the qualified reference image to detect the flaws on the surface of the contact lens. The background dirt on the contact lens carrier disk will be easily misjudged as a defect on the surface of the contact lens

In addition, uneven illumination will also affect the accuracy of detection.

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