Image detection scanning method for object surface defects and image detection scanning system thereof

Abstract

An image detection scanning method for object surface defects and an image detection scanning system thereof are provided. The method includes capturing a test image by a photosensitive element according to test light, determining whether a setting parameter of the photosensitive element is normal by a processor according to the test image, generating a warning signal if the setting parameter is abnormal, performing a detection procedure if the setting parameter is normal, sequentially moving one of a plurality of areas on a surface of an object to the detection position in the detection procedure, providing detection light by a light source component in the detection procedure to illuminate the detection position, and capturing a detection image of each of the areas sequentially located at the detection position by the photosensitive element according to the detection light in the detection procedure.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]This application claims priority from U.S. Patent Application Ser. No. 62 / 848,216, filed on May 15, 2019, the entire disclosure of which is hereby incorporated by reference.BACKGROUND OF THE INVENTIONField of the Invention[0002]The present disclosure relates to an image detection scanning method for object surface defects and an image detection scanning system thereof.Description of the Prior Art[0003]The defect detection for products is a critical step in the industrial manufacturing process. Defective products cannot be sold; otherwise malfunctioning end products can be resulted if defective intermediate products are sold to other manufacturers for processing. One conventional defect detection method is manually inspecting a product under test by naked eyes or by touching of hands, so as to determine whether a product contains defects, such as recesses, scratches, color differences or damages. However, manually inspecting whether a prod...

AI Technical Summary

Benefits of technology

The present invention provides an image detection system for detecting defects on the surface of an object. The system includes a driver component, a light source component, a photosensitive element, and a processor. The driver component moves the object's surface area to a detection position, and the light source component provides detection light to illuminate the position. The photosensitive element captures a detection image and a test image, and the processor analyzes the test image to determine if the photosensitive element is normal. The system can generate a warning signal if the photosensitive element is abnormal and perform a calibration operation accordingly. The method includes sequentially moving one of the surface areas to the detection position, providing detection light to illuminate the position, configuring the photosensitive element to face the detection position, and capturing a detection image of each area. The technical effect of this invention is an improved image detection system that allows for efficient and accurate detection of defects on the surface of an object.

Problems solved by technology

Defective products cannot be sold; otherwise malfunctioning end products can be resulted if defective intermediate products are sold to other manufacturers for processing.

However, manually inspecting whether a product contains defects yields less satisfactory efficiency, and has a greater probability of misjudgment, leading to the problem of an unmanageable product yield rate.

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