Needle tip true position detection method and system based on deep learning

Abstract

The invention relates to the technical field of image processing, and discloses a needle tip true position detection method and system based on deep learning, and the method comprises the steps: obtaining needle tip top view data of a plurality of connector samples, marking the data, dividing a data set, and carrying out the statistics of needle tip prior information; determining a standard needle point feature of the needle point, constructing a standard first relative coordinate system, and determining a relative standard distance between the center position of the needle point and the original point; acquiring needle point top view data of the to-be-detected connector, and acquiring a needle point ROI region of the to-be-detected connector; extracting the sub-pixel contour edge information of the needle tip and the features of the needle tip, constructing a second relative coordinate system by using the same method in the above steps, and determining the relative distance between the center position of the needle tip and the original point; and comparing the extracted tip feature with the standard tip feature and the relative distance with the corresponding relative standard distance, and judging whether the true position of the connector to be detected is qualified or not according to the comparison result. According to the invention, the accuracy of true position detection is improved, and the method is suitable for connectors.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a method and system for detecting the right position of a needle tip based on deep learning. Background technique [0002] In the strategic layout of the Industrial Internet, industrial defects are a very hot issue, especially the problem of workpiece accuracy detection. For high-precision instruments and products, millimeter-level accuracy is required. [0003] In the workpiece precision inspection, the uprightness detection is mainly to detect the verticality, horizontal straightness, coplanarity, gap, needle width, needle length and other indicators of various IC chips, electronic connectors and other electronic components. . However, the traditional positive position detection is based on the idea of ​​pattern matching to match all the needle tips, so as to judge the distance measurement between the needle tip and the needle tip. For connectors with missing ...

AI Technical Summary

Problems solved by technology

[0004] The present invention aims to solve the problem of poor accuracy in the existing detection of needle tip alignment, and proposes a method and system for detecting needle tip alignment based on deep learning

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