Ink Defect Detection Method for Multiple Lens

Abstract

The invention discloses a method for detecting ink defects of multiple lenses. The method adopts the following detection equipment including a feeding station, a handling station, a testing station and a feeding station, and is characterized in that: the feeding station includes a feeding platform, and the feeding The material platform is used for feeding and testing multiple lenses, the handling station is used for grabbing and transporting multiple lenses, the testing station is used for defect detection of multiple lenses, and the unloading station is used for multiple lenses. For transporting and transporting, cylinder one and cylinder two are arranged on both lateral sides of the loading platform, and a fixed platform is arranged on the longitudinal side of the loading platform, and a tray is fixed on the fixed platform, and an elevator is installed on one side of the tray , the bottom side of the elevator is provided with a discharge belt, and the transfer station is provided on the side of the loading station, and the transfer station includes a mechanical arm and a transfer shaft. The present invention has the characteristics of high detection efficiency and high detection accuracy.

Description

technical field [0001] The invention relates to the technical field of machine vision detection, in particular to an ink defect detection method for multiple lenses. Background technique [0002] The visual inspection system uses industrial cameras instead of human eyes to complete functions such as recognition, measurement, and positioning. The general visual inspection system is composed of a combination of camera, lens, and light source, which can replace manual detection of barcode characters, cracks, packaging, surface layer integrity, and depressions. The use of visual inspection systems can effectively improve the detection speed and accuracy of the production line. Greatly improve output and quality, reduce labor costs, and prevent misjudgment due to human eye fatigue. [0003] In the ink defect detection of multiple lenses, the traditional method is mostly manual visual inspection, which is inefficient, and long-term work is likely to cause eye fatigue and low dete...

AI Technical Summary

Problems solved by technology

[0003] In the ink defect detection of multiple lenses, the traditional method is mostly manual visual inspection, which is inefficient, and long-term work is likely to cause eye fatigue and low detection accuracy. Some of the machine detection is also due to the simple function of the machine and the common detection method. Cards often occur Dead, slow detection speed, incomplete detection, and the traditional detection method is usually easy to enter the dust, resulting in low detection accuracy. Therefore, it is necessary to design a multi-lens ink defect detection method with high detection efficiency and high detection accuracy.

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