Handset casing testing apparatus and method based on computer vision

Abstract

The invention discloses a handset casing testing apparatus and method based on computer vision. The apparatus comprises a high-definition camera, an auxiliary light source and an industrial control computer. The auxiliary light source illuminates the visual field range of the high-definition camera. The high-definition camera and the auxiliary light source are arranged on handset casing testing stations of a production line and can capture handset casing parts requiring precise tests. The industrial control computer is electrically connected with the high-definition camera and the auxiliary light source. The method comprises a camera calibrating step; an image acquisition step; an image processing step; and a test result outputting step. By adopting technologies based on image processing, the apparatus and method achieve that precise positioning and precise testing are effective ways for automated production. The computer vision technologies have the characteristics of non-contact measurement, relatively wide spectrum range and capabilities of working for long, etc. The technologies can be widely applied in the industrial field and used for rapidly and precisely testing product related indexes. A high speed is achieved. A low maintenance cost is further realized.

Description

technical field [0001] The invention relates to a product detection device, in particular to a detection device and method which can automatically check the product quality of a mobile phone case in real time on a production line of a mobile phone case production enterprise, and belongs to the technical field of electronic optical detection. Background technique [0002] In domestic mobile phone casing manufacturers, the inspection of defective products is mostly carried out manually. The manual inspection method has advantages for cracks, color differences, warping deformation, rough oil stains and other phenomena of products. However, there is almost nothing that can be done for the inspection that requires a dimensional accuracy of 0.1mm aperture, and it is necessary to use computer vision image detection equipment to achieve high-precision inspection. [0003] Mobile phone casing production and processing enterprises produce a large number of mobile phone casing blank pr...

AI Technical Summary

Problems solved by technology

[0003] Mobile phone casing production and processing enterprises produce a large number of mobile phone casing blank products through mold injection molding. Due to the slight difference in cooling time during the injection molding filling process and uneven stretching during molding, some of the blank products will have warping and burr residues. , Aperture size error is large, rounded corners are irregular, resulting in defective products

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