Hardware defect identification detection method and device and computer readable storage medium

A technology of defect identification and detection methods, applied in computer parts, calculation, neural learning methods, etc.

Pending Publication Date: 2021-05-07
FOSHAN UNIVERSITY +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The object of the present invention is to provide a hardware defect identification and detection method, device and computer-readable storage medium to solve one or more technical problems in the prior art, and at least provide a beneficial choice or create conditions

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  • Hardware defect identification detection method and device and computer readable storage medium
  • Hardware defect identification detection method and device and computer readable storage medium
  • Hardware defect identification detection method and device and computer readable storage medium

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Embodiment Construction

[0034] The concept, specific structure and technical effects of the present application will be clearly and completely described below in conjunction with the embodiments and drawings, so as to fully understand the purpose, scheme and effect of the present application. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0035] refer to figure 1 ,Such as figure 1 Shown is a hardware defect identification and detection method provided in the embodiment of the present application, and the method includes the following steps:

[0036] Step S100: Collect images of hardware containing defects, extract target detection areas of hardware from the collected images, form a plurality of images of target detection areas into an initial image set of hardware, and perform defect detection on defect areas in the initial image set Manual labeling;

[0037] Specifically, an ind...

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Abstract

The invention relates to the technical field of hardware defect detection, in particular to a hardware defect identification and detection method and device and a computer readable storage medium, and the method comprises the steps: carrying out the image collection of hardware containing defects, forming an initial image set of the hardware, performing manual annotation and image expansion on a defect area in the initial image set, and preprocessing the expanded initial image to obtain a sample image set; dividing the sample image set into a training set and a verification set, inputting the training set into a constructed semantic segmentation model for training, verifying the semantic segmentation model through the verification set, and obtaining a trained semantic segmentation model when a loss function value of the semantic segmentation model converges; and collecting the product image of the hardware to be detected on line, and inputting the product image into the trained semantic segmentation model to obtain a prediction result. The hardware product detection method is suitable for detection of most hardware products and has the advantages of being high in universality and easy to operate.

Description

technical field [0001] The invention relates to the technical field of hardware defect detection, in particular to a hardware defect identification and detection method, device and computer-readable storage medium. Background technique [0002] Different from the traditional architectural hardware that uses metal as raw material, in recent years, it has developed hardware made of various non-metallic materials that can be applied to industries and various fields, such as ceramics, glass, rubber, plastics, etc. This kind of non-metallic products has the advantages of high quality, beautiful appearance, and low cost, which can greatly reduce the use of non-ferrous metals, and its application has become increasingly widespread. The production process of small metal ceramic parts is complicated, and every production link may produce defects that affect the performance of ceramics. These defects mainly include spots, glue flow and air bubbles. [0003] At present, the detection ...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T7/136G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06T7/0002G06T7/11G06T7/136G06N3/08G06T2207/10004G06T2207/20081G06T2207/20084G06T2207/30164G06V10/44G06N3/045G06F18/253G06F18/214
Inventor 梁智宇苏彩红詹宁宙
Owner FOSHAN UNIVERSITY
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