Defect detection and recognition device and method based on deep learning algorithm

A deep learning and defect detection technology, applied in the field of deep learning, can solve problems such as difficulty in training deep learning models, and achieve the effect of reducing manual workload and missed detection rate.

Active Publication Date: 2019-05-07
SHANGHAI JIAO TONG UNIV
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  • Summary
  • Abstract
  • Description
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Problems solved by technology

[0006] In view of the above-mentioned defects in the prior art, the technical problem to be solved by the present invention is to provide a deep learning algorithm based on the complex texture of the decorative plate processing defect

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  • Defect detection and recognition device and method based on deep learning algorithm
  • Defect detection and recognition device and method based on deep learning algorithm
  • Defect detection and recognition device and method based on deep learning algorithm

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Embodiment Construction

[0044] The following describes several preferred embodiments of the present invention with reference to the accompanying drawings, so as to make the technical content clearer and easier to understand. The present invention can be embodied in many different forms of embodiments, and the protection scope of the present invention is not limited to the embodiments mentioned herein.

[0045] In the drawings, components with the same structure are denoted by the same numerals, and components with similar structures or functions are denoted by similar numerals. The size and thickness of each component shown in the drawings are shown arbitrarily, and the present invention does not limit the size and thickness of each component. In order to make the illustration clearer, the thickness of parts is appropriately exaggerated in some places in the drawings.

[0046] Such as figure 1 As shown, a preferred embodiment of the present invention includes a detection station 10, a detection sys...

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Abstract

The invention discloses a defect detection and recognition device based on a deep learning algorithm, which relates to the field of defect detection and identification. The device comprises a test bench, a detection system, a model-based reasoning system, The detection system is connected to the test bench, and the model-based reasoning system operates in the detecting system. The defect detectionand recognition device and method based on deep learning algorithm trains an effective neural network model to detect and recognize the processing defect image to be defected under the condition thatthe actual processing defect data sample is insufficient, and uses the deep learning algorithm to reduce the misdetection probability, and realizes the automatic detection of the decorative sheet tobe detected, and reduces the amount of manual work.

Description

technical field [0001] The present invention relates to the field of deep learning technology, in particular to a defect detection and identification device and method based on deep learning algorithms. Background technique [0002] As an important material for interior decoration, decorative panels are widely used in various indoor places, such as gymnasiums, hotels, residential buildings, etc. In the production process of decorative panels, quality inspection is a key link. In actual production, manufacturers usually employ several skilled and experienced inspectors to detect surface processing defects of decorative panels on the production line. However, the production quantity of decorative panels is huge, and there are many types of processing defects, such as: scratches, stains, plaques, wear, debris, etc., resulting in low efficiency of manual inspection, and it is easy to miss inspection due to fatigue of inspectors. The time and financial costs are high. It is an ...

Claims

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Application Information

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IPC IPC(8): G01N21/88
Inventor 乐心怡黄梓田习俊通周博宇何欣
Owner SHANGHAI JIAO TONG UNIV
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