Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method and system for identifying person crossing a belt based on computer vision

A computer vision and recognition method technology, applied in computer parts, computing, character and pattern recognition, etc., can solve problems such as hidden safety hazards and unsafe behaviors that are not found, and achieve real-time monitoring, manpower saving, and efficient judgment. Effect

Active Publication Date: 2021-11-05
JINGYING SHUZHI TECH HLDG CO LTD
View PDF10 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the method of ensuring the safety of personnel in underground mine sites is still relatively traditional, such as installing cameras on the job site for remote monitoring by a special person, or setting up on-site security personnel, etc., which require a lot of manpower and are prone to human error Unsafe behaviors have not been discovered due to the interference of various factors, resulting in certain hidden safety hazards

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
  • Method and system for identifying person crossing a belt based on computer vision
  • Method and system for identifying person crossing a belt based on computer vision
  • Method and system for identifying person crossing a belt based on computer vision

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] Preferred embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although preferred embodiments of the invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

[0042] The terminology used in the present invention is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used herein and in the appended claims, the singular forms "a", "the", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood that the term "and / or" as used herein refers to and includes any and all possible combinations o...

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 and a system for identifying a person crossing a belt based on computer vision, and the method comprises the steps: obtaining a person and a belt in a video through a trained instance segmentation model; fitting curves of two edge contours of the belt; determining the foot position of the person; and judging whether the person crosses the belt or not according to the position relation between the foot position and the curves of the two edge contours of the belt. An image of a belt area is collected through an existing camera, key information features of a belt and personnel are extracted through an instance segmentation algorithm, a judgment algorithm for the personnel to cross the belt is set by combining the geometric position relation of the personnel and the belt, and real-time and efficient judgment is achieved. Compared with monitoring by ordinary people, a large amount of manpower is saved, and real-time monitoring is guaranteed. Moreover, the implementation of the invention only needs to install the camera and deploy the server on site, thereby reducing the management complexity.

Description

technical field [0001] The invention belongs to the fields of computer vision and underground personnel construction safety, and in particular relates to a computer vision-based identification method and system for personnel crossing a belt. Background technique [0002] With the increasing attention to the safety of energy mining, energy companies should pay more attention to the personal safety of on-site workers while focusing on increasing production capacity. For some dangerous behaviors, early detection and early treatment should be carried out to avoid personal injury. [0003] At present, the method of ensuring the safety of personnel in underground mine sites is still relatively traditional, such as installing cameras on the job site for remote monitoring by a special person, or setting up on-site security personnel, etc., which require a lot of manpower and are prone to human error Unsafe behaviors have not been discovered due to the interference of various factors...

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): G06K9/00G06K9/34
Inventor 刘志梁辉龚大立
Owner JINGYING SHUZHI TECH HLDG CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products