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Product outer surface defect image acquisition device based on machine vision

An image acquisition device and machine vision technology, applied in the direction of optical testing flaws/defects, can solve the problems of difficult system debugging, complex mechanical structure, large data processing volume, etc., and achieve convenient installation and debugging, easy operation, and small data processing volume. Effect

Inactive Publication Date: 2014-07-23
SOUTH CHINA UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, the traditional image acquisition system has disadvantages such as complex mechanical structure, difficult system debugging, large amount of data processing, long detection cycle, and high hardware cost.

Method used

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  • Product outer surface defect image acquisition device based on machine vision
  • Product outer surface defect image acquisition device based on machine vision
  • Product outer surface defect image acquisition device based on machine vision

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0023] Such as Figure 1-3 As shown, a product surface defect image acquisition device based on machine vision includes a product to be inspected 4, a camera 1 corresponding to the product to be inspected 4, a lens 5 arranged around the product to be inspected 4, and a supplementary light source , a light-tight hood 6 and a light source controller connected to the supplementary light source, the product 4 to be detected, the camera 1, the eyeglass 5, the light source controller and the supplementary light source are arranged in the light hood 6 to facilitate the adjustment of the light. Also be provided with the sensor that controls camera 1 to take pictures.

[0024] There are four lenses 5 and they are all inclined upwards at 45°. The four lenses 5 surround the product 4 to be tested respectively, and the lenses 5 are concave mirrors or plane mirrors.

[0025] The supplementary light source includes a coaxial light source 2 and four bar-shaped light sources 3, the coaxial l...

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Abstract

The invention discloses a product outer surface defect image acquisition device based on machine vision. The product outer surface defect image acquisition device comprises a product to be detected, a camera which is arranged corresponding to the product to be detected, and a lens which is arranged around the product to be detected. Compared with an existing system which utilizes five cameras to carry out image acquisition on five surfaces of a cell phone shell, the product outer surface defect image acquisition device only uses one camera and one station to simultaneously finish the defect image acquisition of five surfaces of the cell phone shell, so that the cost is saved greatly; the cell phone shell does not need to be pushed by an air cylinder to turn for a right angle so that continuous detection is convenient to realize; the product outer surface defect image acquisition device is simple in structure, simple and convenient to operate, small in data processing amount and short in detection period.

Description

technical field [0001] The invention relates to an image acquisition device, in particular to an image acquisition device for product outer surface defects based on machine vision. Background technique [0002] During the manufacturing process of injection molding products, defects such as stains, scratches, and particles will appear on the surface of the product. Electronic products such as mobile phones and digital cameras have extremely high requirements on appearance, such as surface defects are not allowed. At present, the appearance and surface inspection of domestic electronic products mainly rely on manual visual inspection. Due to the subtle differences in the characteristics of the defects, coupled with the limitations of the materials used and the lighting conditions in the workshop, some defects are difficult to distinguish from the background, and workers need to repeatedly adjust the viewing angle to find them. Cause false detection, missed detection. [000...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/88
Inventor 文生平段铮昱
Owner SOUTH CHINA UNIV OF TECH
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