Intelligent detection device of defects of mobile phone outer shell based on machine vision

Abstract

The invention discloses an intelligent detection device of defects of a mobile phone outer shell based on machine vision. The device comprises a transmitting device, detection systems, a degraded product unit and a computer; the transmitting device comprises two transmitting strips and a diversion air cylinder; each detection system respectively detects the frontage side, the left side, the rightside, the front side and the rear side of the mobile phone outer shell; each detection system comprises an illumination unit and an image collecting unit; the illumination unit illuminates one side of the outer shell of the mobile phone, and the image collecting unit photographs; collected image signals are transmitted to the computer; the computer recognizes the degraded mobile outer shell, and transmits the serial numbers of the mobile outer shell with defects to a degraded product rejecting unit; and the degraded product rejecting unit rejects the mobile phone outer shell with defects. According to the invention, defects such as scratches, burr, discoloration, dent, bubbles of the mobile phone outer shell can be detected, the degraded products are separated automatically, and the device has the characteristics of intelligence, high efficiency, stability and high accuracy.

Description

technical field [0001] The invention relates to the field of machine vision automatic detection, in particular to a machine vision-based intelligent detection device for mobile phone shell defects. Background technique [0002] As an emerging intelligent detection method, machine vision has been rapidly applied and promoted in fields such as industry, agriculture, and safety supervision. Machine vision is composed of industrial cameras, image acquisition cards, light sources, processing software, actuators, etc. It can replace part of the functions of human eyes and brains, and can automatically identify and analyze the processed objects. Machine vision is applied to product defect detection. Its advantages are high efficiency, stability, rapid identification of defects and no fatigue due to long working hours compared with manual detection. In addition, the advantages of its non-destructive testing play an important role especially in the testing of products with high surf...

AI Technical Summary

Problems solved by technology

At present, the defects of mobile phone casings are mainly identified by human eyes, which is very slow and prone to fatigue. Moreover, mobile phone casings are mass-produced and can only be detected through random sampling, which further increases the defective rate of products.

When consumers buy a new mobile phone, the slightest casing defect is intolerable

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