Three-dimensional image-based defect recognition method, device and electronic equipment

A defect recognition and three-dimensional image technology, applied in the field of data processing, to achieve the effect of improving efficiency

Active Publication Date: 2021-06-29
BEIJING DACHENG GUOCE TECH
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

According to the relevant regulations on the safe running of trains in our country, in the railway line safety protection zone and its adjacent areas, there must be no foreign objects that endanger the normal running of the train within the railway limits stipulated by the state, so as not to cause the driver to see the foreign objects at a relatively short distance. Braking treatment, but the braking is not timely, the braking distance is too long and the collision with foreign objects causes property damage and safety accidents

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
  • Three-dimensional image-based defect recognition method, device and electronic equipment
  • Three-dimensional image-based defect recognition method, device and electronic equipment
  • Three-dimensional image-based defect recognition method, device and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0062] Embodiments of the present disclosure will be described in detail below in conjunction with the accompanying drawings.

[0063] Embodiments of the present disclosure are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present disclosure from the contents disclosed in this specification. Apparently, the described embodiments are only some of the embodiments of the present disclosure, not all of them. The present disclosure can also be implemented or applied through different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present disclosure. It should be noted that, in the case of no conflict, the following embodiments and features in the embodiments can be combined with each other. Based on the embodiments in the present disclosure, a...

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

Embodiments of the present disclosure provide a method, device, and electronic device for defect recognition based on three-dimensional images, which belong to the technical field of data processing. The method includes: acquiring a set of three-dimensional point cloud data captured by an unmanned aerial vehicle; The size of the three-dimensional target object of the target object described by the data set, the projection contour length sequence of the n target objects in the horizontal direction is determined to form a first eigenvector; based on the eigenvalues ​​of the n axial contour feature matrices, a second feature matrix is ​​formed. eigenvector; multiplying the first eigenvector and the second eigenvector as a horizontal vector and a vertical vector, respectively, to obtain a feature matrix of the target object in the three-dimensional point cloud data set; based on the result of the matching calculation, determine Types of target objects and corresponding defects in the 3D point cloud data set. Through the processing solution of the present disclosure, the invading foreign objects can be effectively detected and monitored.

Description

technical field [0001] The present disclosure relates to the technical field of data processing, and in particular to a defect recognition method, device and electronic equipment based on a three-dimensional image. Background technique [0002] With the rapid development of China's economy and the acceleration of urbanization, railway transportation has become an important means of transportation, which is closely related to the daily travel of urban residents, commuters, tourists and business people. [0003] Rail foreign object detection refers to the measures to check the rail area for foreign objects in order to ensure the safety of trains. According to the relevant regulations on the safe running of trains in our country, in the railway line safety protection zone and its adjacent areas, there must be no foreign objects that endanger the normal running of the train within the railway limits stipulated by the state, so as not to cause the driver to see the foreign object...

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): G06T7/00G06T19/00G06K9/46G06K9/62G06T7/12
CPCG06T7/0002G06T19/00G06T7/12G06T2207/10028G06T2200/04G06V10/44G06F18/22
Inventor 蒋梦张淮王鹤黄玉君丁海有高飞董建华
Owner BEIJING DACHENG GUOCE TECH
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