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Vision-based operator dangerous behavior detection method and system

A technology for operators and detection methods, applied in neural learning methods, image data processing, biological neural network models, etc., can solve problems such as inability to effectively detect dangerous behaviors of operators, and inability to warn of dangerous behaviors, so as to prevent malignant accidents, improve Efficiency, the effect of ensuring personal safety

Pending Publication Date: 2022-03-08
SHANDONG INST OF ADVANCED TECH CHINESE ACAD OF SCI CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method and system for detecting dangerous behaviors of workers based on vision, so as to be able to effectively detect dangerous behaviors of workers, and to give early warning of dangerous behaviors in time, so as to solve the problem of ineffective detection of workers in the prior art. Dangerous behavior of personnel, the problem of being unable to give timely warning of dangerous behavior

Method used

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  • Vision-based operator dangerous behavior detection method and system
  • Vision-based operator dangerous behavior detection method and system
  • Vision-based operator dangerous behavior detection method and system

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0053] Such as figure 1 As shown, this embodiment proposes a method for detecting dangerous behaviors of workers based on vision, which specifically includes the following steps:

[0054] Step S1, collecting real-time video surveillance data of the production area to obtain video streams.

[0055] In this embodiment, binocular cameras installed in every corner of the production plant are used to collect video monitoring data of the production area in real time to obtain video streams.

[0056] Step S2, intercepting monitoring pictures from the video stream at a preset frequency, and performing preprocessing on the monitoring pictures. Specifically include:

[0057] Step S2.1. Cutting the monitoring picture to meet the size requirements of the model for the input picture, and obtaining the cut monitoring picture.

[0058] In this embodiment, the YOLOV5 deep network model is used to detect the human body targets of the workers in the monitoring picture. Therefore, when the mo...

Embodiment 2

[0091] Such as Figure 4 As shown, this embodiment proposes a vision-based dangerous behavior detection system for workers. The functions of each module of the system are the same as the steps of the method in Embodiment 1 and correspond one-to-one. The system specifically includes:

[0092] The video stream acquisition module M1 is used to collect real-time video surveillance data in the production area to obtain video streams.

[0093] The surveillance picture interception and preprocessing module M2 is configured to intercept surveillance pictures from the video stream at a preset frequency, and perform preprocessing on the surveillance pictures.

[0094] The human object detection module M3 is used to detect the human object of the operator in the monitoring picture, and obtain the location information of the operator.

[0095] The human body posture key point positioning module M4 is used to perform human body posture key point positioning on the monitoring pictures afte...

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Abstract

The invention relates to an operator dangerous behavior detection method and system based on vision, and belongs to the field of behavior detection and recognized.The method comprises the steps that firstly, human body target detection is conducted on an operator in a monitoring picture, and position information of the operator is obtained; carrying out human body posture key point positioning on the monitoring picture after human body target detection; the human body posture key point positioning determines a current behavior posture of a human body in a mode of positioning a plurality of human body key points; according to the position information and the human body posture key point positioning information, performing dangerous behavior analysis on each operator in the monitoring picture to obtain a dangerous behavior analysis result; and judging whether to activate an alarm according to the dangerous behavior analysis result. According to the method, whether each operator has a dangerous behavior or not can be effectively detected, and an alarm can be given in time for the dangerous behavior.

Description

technical field [0001] The invention relates to the field of behavior detection and recognition, in particular to a method and system for detecting dangerous behaviors of workers based on vision. Background technique [0002] In recent years, the safety of workers on the production line has attracted more and more attention from the society. At present, most of the management and control of workers in production workshops is carried out by manpower to monitor the abnormal behavior of personnel. For some workshops with many equipment and complex production processes, there is also Using manual inspection to inspect blind areas of video surveillance is not only inefficient, but also unable to analyze and warn of dangerous behaviors of operators. On the production line, when an operator falls or faints or even loses consciousness due to napping, looking at mobile phones, chatting, etc., the treatment may be delayed because no one finds it in time, resulting in life-threatening....

Claims

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Application Information

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IPC IPC(8): G06V40/20G06V40/10G06V20/52G06T7/73G06N3/08G06V10/82G08B21/02
CPCG06T7/73G06N3/08G08B21/02
Inventor 杨彤李丽娟纪翔镜徐升沈国栋王强胡佳李慧迎
Owner SHANDONG INST OF ADVANCED TECH CHINESE ACAD OF SCI CO LTD