Defect identification method and system of hardware and storage medium

Abstract

The invention discloses a defect identification method and system of hardware and a storage medium. The method comprises the following steps of carrying out scratch detection according to image information of the hardware; carrying out fine defect detection according to the image information of the hardware; extracting point cloud data of a defect area according to the image information of the hardware; after detection operation is determined to be finished, carrying out curve fitting on a spatial position point of the defect area according to the point cloud data of the defect area; generating a time optimal processing path according to the curve obtained by fitting; and making a robot carry out automatic grinding according to the time optimal processing path. In the invention, a problemof a manual detection mode in the prior art is solved, detection efficiency is improved, a detection error is reduced, and the method, the system and the medium can be widely applied to the metal polishing technology field.

Description

technical field [0001] The invention relates to the technical field of metal grinding, in particular to a hardware defect identification method, system and storage medium. Background technique [0002] The surface defects of metal parts are mainly caused by the process from metal forming to various processing techniques, such as scratch defects, concave and convex point defects, and stains and other subtle defects. [0003] When there are multiple defects (that is, multiple grinding areas) on the surface of the metal part and the defect positions are scattered, the sequence of which area the robot grinds directly determines the overall processing efficiency and the degree of intelligence of the grinding system [0004] The inspection of hardware surface defects is a very critical process in the production of many enterprises. In the production process of mass products, it is necessary to check whether there are defects on the surface after processing, such as computer panel...

AI Technical Summary

Problems solved by technology

[0005] At present, the hardware surface inspection process mainly relies on the naked eye observation, which is affected by subjective factors, and there are problems such as limited accuracy and unstable results. Moreover, the labor shortage that has been increasing in recent years is also constantly affecting the labor cost of production.

Although visual inspection by human eyes has its own advantages, it is very suitable for situations where there are many changes in product varieties and defect types. However, visual inspection by human eyes is a repetitive, boring and tiring work.

Therefore, the characteristics of human eye defect inspection are slow detection speed, unstable effect and very subjective judgment of detection standards.

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