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

An operator on duty violation behavior detection method and system

A technology of on-duty personnel and detection methods, applied in the field of intelligent video analysis, can solve the problems of low efficiency of detection methods, low recognition accuracy, and high cost, and achieve the effects of detection guarantee, accuracy improvement, and real-time and accurate monitoring

Active Publication Date: 2019-05-03
XINGTANG TELECOMM TECH CO LTD +2
View PDF6 Cites 60 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of the above analysis, the present invention aims to provide a method and system for detecting violations of duty personnel to solve the problems of low efficiency, high cost and low recognition accuracy of existing detection 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
  • An operator on duty violation behavior detection method and system
  • An operator on duty violation behavior detection method and system
  • An operator on duty violation behavior detection method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0050] A specific embodiment of the present invention discloses a method for detecting violations of the duty personnel, such as figure 1 shown, including the following steps:

[0051] Step S1, building a target detection network model, and using the data set for training to obtain a trained target detection network model;

[0052] Step S2: Obtain multiple channels of video from different angles of the same scene in real time, use the above-mentioned trained target detection network model and target tracking algorithm to perform multi-target detection and tracking on each of the above-mentioned videos, and obtain the personnel in each channel of video information;

[0053] Step S3 , according to the personnel matching relationship among the multiple videos, integrate and process the personnel information in each channel of video obtained above; and judge whether the behavior of the personnel on duty is abnormal according to the integrated data.

[0054] Compared with the pri...

Embodiment 2

[0105] Disclosed is a system for detecting irregularities of personnel on duty, including:

[0106] The target detection network model construction and training module is used to construct the target detection network model and use the data set for training to obtain the trained target detection network model;

[0107] The target detection unit module is used to obtain multi-channel videos from different angles of the same scene in real time, and use the above-mentioned trained target detection network model and target tracking algorithm to perform multi-target detection and tracking on each of the above-mentioned videos respectively, and obtain each channel Personal information in the video;

[0108] The abnormal behavior judgment module is used to integrate and process the personnel information in each channel of video obtained in the target detection unit module according to the personnel matching relationship between multiple channels of video; and judge whether the behavi...

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 an on-duty person violation behavior detection method and system, belongs to the technical field of intelligent video analysis, and solves the problems of low efficiency, highcost and low recognition accuracy of an existing detection method. The method comprises the following steps: constructing a target detection network model, and training by using a data set; acquiringmultiple paths of videos at different angles in the same scene in real time, carrying out multi-target detection and tracking by utilizing a trained target detection network model and a target tracking algorithm, acquiring personnel information in each path of videos, carrying out integration processing, and judging whether behaviors of personnel on duty are abnormal or not. According to the invention, an environment camera video is used as an input video source for intelligent video analysis; the system supports multi-channel video source input and fusion analysis, greatly improves the recognition accuracy of illegal behaviors through deep learning and data modeling means, and achieves the real-time and accurate monitoring of the duty behaviors of personnel on duty in scenes such as a monitoring center, a duty room, a command center and the like.

Description

technical field [0001] The invention relates to the technical field of intelligent video analysis, in particular to a method and system for detecting violations of regulations by duty personnel. Background technique [0002] The development of video surveillance technology is very rapid. The key areas and key parts of all walks of life have achieved monitoring coverage, and the monitoring video information has been networked. In practical applications, the monitoring center, duty room, command center and other parts should be staffed on duty, and the management department needs to conduct regular off-site inspections and review historical video information to find out the incidents of duty personnel sleeping on duty (off duty, sleeping) Records, accurate and timely detection of on-duty violations can ensure the normal operation of on-site safety management, and provide a basis for post-event traceability of non-safety incidents. At present, these tasks are manually performe...

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): G06K9/00G06K9/62G06N3/08
Inventor 余红涛刘强杨鹏杨琪宋玉浩陈运锦
Owner XINGTANG TELECOMM TECH 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