Detection method of foreign objects in corbel holes of railway freight cars

A technology for detecting railway freight cars and foreign objects, which is used in railway vehicle shape measuring instruments, railway car body parts, railway auxiliary equipment, etc. False positive rate, reduce the possibility of missed detection and false detection, improve efficiency

Active Publication Date: 2020-12-04
HARBIN KEJIA GENERAL MECHANICAL & ELECTRICAL CO LTD
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention aims to solve the problems of poor stability and low precision in manual detection methods, as well as the high false positive rate of existing deep learning methods

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
  • Detection method of foreign objects in corbel holes of railway freight cars
  • Detection method of foreign objects in corbel holes of railway freight cars
  • Detection method of foreign objects in corbel holes of railway freight cars

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0057] Specific implementation mode one: combine figure 1 To describe this embodiment,

[0058] The method for detecting foreign matter in the corbel hole of a railway freight car described in this embodiment includes the following steps:

[0059] 1. Training stage:

[0060] 1. Collect images:

[0061] Fixed equipment around the track of the truck is equipped with a camera or video camera to take pictures of the moving truck. After the truck passes through the equipment, a high-definition grayscale full-vehicle image is obtained.

[0062] Image quality is mainly affected by two aspects: one is the influence of natural conditions: rain, snow, mud stains, light, etc.; the other is the influence of man-made conditions: oil stains, black paint, differences in equipment installation, etc. Therefore, there is a discrepancy between the captured images of the corbel hole site. In order to enhance the robustness of the recognition algorithm, in the process of collecting image data...

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 discloses a method for detecting foreign matter in a corbel hole of a railway freight car, belonging to the technical field of railway freight car detection. The purpose of the present invention is to solve the problems of poor stability and low precision in the manual detection method, as well as the high false alarm rate in the existing deep learning method. The present invention first acquires the image of the corbel hole position, which is recorded as image D; then uses the trained segmentation model network to predict image D; if there is no foreign matter in the image, the next image is processed; otherwise, the erosion and expansion operation is performed, Mark the foreign object prediction binary image as B; locate the corbel hole for image D, and obtain the positioned binary image, that is, image A; finally, combine the foreign object prediction binary image B with the pixels of the positioning binary image A Value points are multiplied and added to obtain the value c; judge, if c is not greater than the foreign object judgment threshold m, it proves that there is no foreign object in the corbel hole area, otherwise it proves that there is a foreign object in the corbel hole area. It is mainly used for foreign object detection in corbel holes of railway wagons.

Description

technical field [0001] The invention belongs to the technical field of railway freight car detection, and in particular relates to a method for detecting foreign matter in a railway freight car corbel hole. Background technique [0002] The detection of railway wagons is related to the operation safety of railway wagons, so the components of railway wagons need to be inspected regularly. During the use of railway wagons, some parts of the wagon body may fall into the corbel holes, or during manual inspection or maintenance of railway wagons, some maintenance tools may also fall into the corbel holes. Therefore, it is also necessary to carry out foreign object detection on the corbel hole of railway freight cars. Work is very important, but a large number of image screening makes the inspectors very prone to fatigue during the work process, and it is also prone to missed inspections and wrong inspections, making it difficult to guarantee the accuracy and high efficiency of i...

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 Patents(China)
IPC IPC(8): G06K9/34G06K9/62G06T7/00G06N3/04B61K9/08
CPCG06T7/0002B61K9/08G06V10/267G06N3/045G06F18/214
Inventor 燕天娇
Owner HARBIN KEJIA GENERAL MECHANICAL & ELECTRICAL 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