Pipeline welding spot deep learning visual inspection method with angle estimation

A technology of angle estimation and visual inspection, which is applied in computing, computer components, image analysis, etc., can solve problems such as poor detection accuracy of pipeline solder joints, difficulty in adapting to detection scenarios, and inability to detect solder joints, so as to improve detection accuracy and solve problems Unable to intelligently detect pipeline solder joints and improve the effect of generalization ability

Active Publication Date: 2021-06-18
INST OF AUTOMATION CHINESE ACAD OF SCI
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the above-mentioned problems in the prior art, that is, in order to solve the existing pipeline solder joint visual inspection method, it is difficult to adapt to complex scenes with variable detection scenarios, target sizes, occlusions, and changing illumination, resulting in poor detection accuracy and inability to detect pipeline solder joints. To solve the problem of detecting the rotation angle of the local pipeline where the solder joint is located, in the first aspect of the present invention, a method for visual detection of pipeline solder joint with angle estimation is proposed, the method includes:

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
  • Pipeline welding spot deep learning visual inspection method with angle estimation
  • Pipeline welding spot deep learning visual inspection method with angle estimation
  • Pipeline welding spot deep learning visual inspection method with angle estimation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, rather than Full examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0052] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, not to limit the invention. It should also be noted that, for the convenience of description, only the parts related to the related invention are sho...

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 belongs to the technical field of industrial intelligent quality inspection and detection, and particularly relates to a pipeline welding spot visual detection method, system and equipment with angle estimation. The problems that due to the fact an existing pipeline welding spot visual detection method is difficult to adapt to complex scenes with changeable detection scenes, target sizes, shielding and illumination, the pipeline welding spot detection precision is poor and the rotation angle of a local pipeline where a welding spot is located cannot be detected are solved. The method comprises the following steps: acquiring a connecting pipeline scene image of a to-be-detected welding spot as an input image; detecting whether a connecting pipeline in the input image contains a welding spot or not through a pre-trained pipeline welding spot detection model, and if yes, outputting the type, the position, the size and the rotation angle of the welding spot, wherein the pipeline welding spot detection model is constructed based on a deep neural network. The detection precision of the pipeline welding spot is improved, and the problem that the angle of the local pipeline where the welding spot is located cannot be detected is solved.

Description

technical field [0001] The invention belongs to the technical field of industrial intelligent quality inspection and detection, and in particular relates to a visual inspection method, system and equipment for pipeline solder joints with angle estimation. Background technique [0002] Pipeline solder joint positioning inspection is widely used in many fields such as industrial manufacturing, energy transportation, etc., and is an important means of auxiliary welding process quality inspection. For example, in the production process of household refrigerators, the airtightness inspection of the pipeline solder joints in the compressor compartment is often carried out to ensure the circulation of refrigerant gas; in the natural gas, oil and other energy transportation industries, ensuring the airtightness of transportation pipelines is the primary transportation Premise: Before heating in winter, it is necessary to check the tightness of pipeline solder joints to ensure safe h...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06T7/00G06T7/66
CPCG06T7/66G06T7/0004G06N3/045G06F18/23213G06F18/214
Inventor 王鹏沈晓飞周陈林
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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