Mechanical casting defect detection method and system based on artificial intelligence

A technology for casting defects and defects, applied in the field of artificial intelligence-based mechanical casting defect detection methods and systems, to achieve the effects of increasing convolution speed, accuracy, and speed

Active Publication Date: 2021-10-22
NANTONG YOUYUAN ART PATTERN DESIGN CO LTD
View PDF8 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the above-mentioned technical problems, the object of the present invention is to provide a method and syst

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Mechanical casting defect detection method and system based on artificial intelligence
  • Mechanical casting defect detection method and system based on artificial intelligence
  • Mechanical casting defect detection method and system based on artificial intelligence

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] In order to further explain the technical means and effects of the present invention to achieve the intended purpose of the invention, in conjunction with the accompanying drawings and preferred embodiments, a method and system for detecting defects in mechanical castings based on artificial intelligence proposed according to the present invention, its The specific embodiment, structure, feature and effect thereof are described in detail as follows. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0044] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field of the invention.

[0045]The specific scheme of an artificial intelligence-based mechan...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to the technical field of mechanical part detection, in particular to a mechanical casting defect detection method and system based on artificial intelligence. The method comprises the following steps: acquiring at least two mechanical casting initial images; performing image segmentation on the image to obtain a suspected crack defect area image; obtaining principal component directions of the suspected crack defect area images, and determining different convolution kernel sizes and sliding step lengths of the suspected crack defect area images based on different principal component directions; inputting each suspected crack defect area image into a convolutional neural network for image feature extraction, and finally outputting the probability that each pixel point in the image belongs to the crack defect; and detecting the defects of the mechanical casting based on the trained convolutional neural network. The method and device greatly improve the speed of network training, improve the details of feature comparison in the network training process, improve the detection accuracy, and improvs the efficiency of defect recognition.

Description

technical field [0001] The invention relates to the technical field of mechanical parts detection, in particular to an artificial intelligence-based method and system for detecting defects in mechanical castings. Background technique [0002] The manufacturing industry has very strict requirements on the process quality of mechanical castings, and there are many methods for detecting defects in mechanical castings. Most of the detection of general castings still remains in the way of manual detection. Manual visual inspection not only consumes manpower and material resources, but also exists. The problem of low efficiency and low accuracy. [0003] At present, it is disclosed to use the training of neural network to complete the online detection of mechanical casting defects, but the recognition process of neural network is to recognize the whole image, the whole training process is too slow and there are many network parameters, although the detection accuracy is improved, ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06T7/00G06T7/11G06T7/12G06T7/13G06K9/62G06N3/04G06N3/08
CPCG06T7/0004G06T7/11G06T7/12G06T7/13G06N3/08G06T2207/20081G06T2207/20084G06T2207/30116G06N3/045G06F18/2135G06F18/214
Inventor 徐玲雅戴凤
Owner NANTONG YOUYUAN ART PATTERN DESIGN CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap