Defect detection control system and method for industrial camera

A defect detection, industrial camera technology, used in optical testing flaws/defects, measuring devices, image data processing, etc.
CN107945152AInactive Publication Date: 2018-04-20深圳市创科自动化控制技术有限公司

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
深圳市创科自动化控制技术有限公司
Publication Date
2018-04-20
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a defect detection system for an industrial camera. The system comprises a camera, a lens connected with the camera, and multiple light sources, wherein the light sources faceto the front surface of a product at different angles; a main control unit of the camera controls a turn-on sequence of the light sources; an image collection unit of the camera is started to performphotographing to generate multiple images; the camera comprises an image processing unit; and the image processing unit comprises multiple fixed modules formed by packaging algorithms, is used for image processing, and performs synthesis and detection on the images. The system has the beneficial effects that the images shot at multiple angles are synthesized, and product defects are detected out on a synthesized image, so that the problem of incapability of completely detecting out the product defects in conventional single-angle image shooting is solved.
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Description

technical field

[0001] The invention relates to the field of industrial camera equipment, in particular to an industrial camera defect detection control system and method. Background technique

[0002] The traditional defect detection method is to use a light source with a fixed luminous angle for lighting. For the detection of defects such as scratches on the surface of the object, when the direction, thickness and depth of the scratches are inconsistent, the angle of the light source cannot be consistent with the angle of the scratches, resulting in imaging. The effect is not good, which leads to the inability to accurately detect the defect. This method uses multiple angles to light and take pictures separately, and then combines multiple photos to finally obtain an image in which scratches in all directions can be clearly imaged, and through the software Algorithms detect flawed data such as scratches.

[0003] In the field of industrial automation, it is often necessar...

Claims

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