Binder clip defect detection method and system based on deep learning

Abstract

The invention discloses a binder clip defect detection method and system based on deep learning, and belongs to the technical field of image processing, and the method comprises the following steps: S1, constructing a sample data set; S2, obtaining a pre-training model; S3, constructing a binder clip defect detection and identification model; and S4, carrying out detection and identification. The YOLOv4-Tiny network serves as a basic network, weight parameters in the pre-training network are shared through transfer learning, a global space attention mechanism module is added, the feature representation capacity is improved, and detection and recognition of binder clip defect images can be accurately achieved; and in an image defect detection effect comparison experiment, the method has the advantages that a good detection effect is shown, the mAP value index reaches 91.66%, detection and recognition of the binder clip defect image are achieved, a foundation is laid for follow-up implementation of binder clip detection and a feedback system, and the method is worthy of being popularized and used.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method and system for detecting defects of long tail clips based on deep learning. Background technique [0002] During the manufacturing process of long tail clips, asymmetric and easy deformation problems occur after simultaneous quenching in large quantities. Carry out the research and development of intelligent long tail clip quenching furnace quality inspection and feedback system to realize automatic detection and identification of long tail clip defects. important in high-quality production. [0003] Previously, the manual inspection method was mainly used for the detection of long tail clip defects. The traditional manual visual inspection caused great damage to the eyesight of workers, and there were also problems of poor consistency and low reliability of detection. The above problems need to be solved urgently. For this reason, a method and system for detec...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is: how to solve the problem of asymmetric and deformed defective product detection after a large number of long-tail clips are quenched at the same time, and provides a long-tail clip defect detection method based on deep learning

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