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A Deep Learning-Based Method for Detection and Measurement of Metal Sheet Defects

A defect detection and deep learning technology, applied in character and pattern recognition, image analysis, image enhancement, etc., to achieve the effect of wide application, avoiding missed detection and high precision

Active Publication Date: 2021-04-02
聚时科技(上海)有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

A common problem with these methods is that it is difficult for a single detection algorithm to perform well on all defect detections.

Method used

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  • A Deep Learning-Based Method for Detection and Measurement of Metal Sheet Defects
  • A Deep Learning-Based Method for Detection and Measurement of Metal Sheet Defects
  • A Deep Learning-Based Method for Detection and Measurement of Metal Sheet Defects

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Embodiment Construction

[0039] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0040] The invention provides a metal plate defect detection and measurement method based on deep learning, the method comprising the following steps:

[0041] 1) Establish and train a multi-cascade defect detector based on deep learning target detection;

[0042] 2) using the multi-cascade defect detector to detect metal plate defects;

[0043] 3) When a defect is detected, the physical size of the defect is measured by a checkerboard calibration method.

[0044] The present invention adopts cascade detectors of multiple deep learning target detection algorithms, and the target det...

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Abstract

The present invention relates to a metal plate defect detection and measurement method based on deep learning. The method comprises the following steps: 1) establishing and training a multi-cascade defect detector based on deep learning target detection; 2) utilizing the multi-cascade defect The detector detects the defect of the metal plate; 3) when the defect is detected, the physical size of the defect is measured by a checkerboard calibration method. Compared with the prior art, the present invention has the advantages of improving the accuracy and accuracy of defect detection, saving a lot of human resources and the like.

Description

technical field [0001] The invention relates to a defect detection method, in particular to a deep learning-based metal plate defect detection and measurement method. Background technique [0002] Metal sheet and strip are indispensable raw materials in industries such as automotive, machine building, chemical, aerospace and shipbuilding. And with the continuous development of my country's industrialization level, the requirements for the surface quality of metal strips are also getting higher and higher, but various defects occur on the surface of metal strips due to processes or other various reasons. The existence of these will greatly affect the performance and life of machines and instruments. Therefore, it is of great practical value to detect surface defects of metal strips in time and evaluate the severity of defects. [0003] The traditional metal plate defect detection method is mainly through human eye observation or some auxiliary machine observation, but the qu...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06K9/62
CPCG06T7/0004G06T2207/20081G06T2207/30136G06T2207/30168G06F18/24G06F18/214
Inventor 李俊郑军
Owner 聚时科技(上海)有限公司
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