Hard disk part detection device and detection method

Abstract

The invention discloses a hard disk part detection device and a hard disk part detection method, which can realize detection of different types of defects of a hard disk part, improve the product yield level, and solve the problem that some defects can only be displayed in an image at a specific lighting angle. Therefore, an electric control rotary workpiece table, an electric control light sourcelifting table and a matched image analysis algorithm are specially designed, the detection automation level is improved, and missing detection is avoided; the workpiece table is controlled through software coordination to achieve rotation of a given angle value, and an angle image is collected; And registering of the images with different rotation angles is achieved by using the rotation angle value, a gravity center algorithm and an image correlation matching algorithm. Some defects can only be displayed in the images at a specific lighting angle, so that the registered images have difference in defect positions, and the gray value difference is extracted to realize defect detection.

Description

technical field [0001] The invention relates to the field of electronic technology, in particular to a machine vision-based defect detection device and a matching detection method, in particular to a hard disk part detection device and detection method. Background technique [0002] Product appearance defects will seriously affect the purchase experience. The work of defect detection has been paid more and more attention, and the detection requirements have become higher and higher. Among them, machine vision detection is an important means to realize automatic monitoring and reduce labor intensity. [0003] At present, there are many papers and patents on machine vision to realize defect detection in the literature, and a series of excellent algorithms have been developed. Even so, there is still a certain gap between the accuracy rate and the requirements of practical applications in practical applications. Solving the contradiction between accurate recognition and fuzzy f...

AI Technical Summary

Problems solved by technology

Even so, there is still a certain gap between the accuracy rate and the requirements of practical applications in practical applications. Solving the contradiction between accurate recognition and fuzzy features, real-time and accuracy has always been the main focus of algorithm research, but Ignoring the importance of actively constructing lighting environment conditions, some defects in practical applications will only appear under suitable lighting conditions

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