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Dangerous situation monitoring method and device based on artificial intelligence, electronic equipment and medium

An artificial intelligence and crisis technology, applied in data processing applications, instruments, calculations, etc., can solve the problems of low accuracy of crisis and easy to miss the best rescue time, and achieve the effect of improving accuracy

Pending Publication Date: 2022-05-13
PINGAN PUHUI ENTERPRISE MANAGEMENT CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, it is difficult to ensure that someone is in danger at the first time through human monitoring of the crisis, and it is easy to miss the best time for rescue
Now it is also possible to make a simple judgment through the danger detection equipment, but the use of danger detection equipment is easy to cause misjudgment, and the accuracy of judging the danger is not high

Method used

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  • Dangerous situation monitoring method and device based on artificial intelligence, electronic equipment and medium
  • Dangerous situation monitoring method and device based on artificial intelligence, electronic equipment and medium
  • Dangerous situation monitoring method and device based on artificial intelligence, electronic equipment and medium

Examples

Experimental program
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Effect test

Embodiment 1

[0050] figure 1 It is a flow chart of the artificial intelligence-based crisis monitoring method provided in Embodiment 1 of the present application. The artificial intelligence-based crisis monitoring method specifically includes the following steps. According to different requirements, the order of the steps in the flow chart can be changed, and some of them can be omitted.

[0051] S11, if it is detected that the heart rate fluctuation value of the target user is greater than a preset fluctuation threshold, determine a risk prediction area based on the coordinate position corresponding to the target user.

[0052]Exemplarily, the heart rate collected on the wearable device on the target user can be obtained, and the heart rate fluctuation value of the target user within a preset time period can be calculated, and the heart rate fluctuation value is used to represent the heart rate variability (Heart rate variability, HRV) , Heart rate variability refers to the change of th...

Embodiment 2

[0093] image 3 It is a structural diagram of an artificial intelligence-based crisis monitoring device provided in Embodiment 2 of the present application.

[0094] In some embodiments, the artificial intelligence-based crisis monitoring device 20 may include a plurality of functional modules composed of computer program segments. The computer program of each program segment in the artificial intelligence-based crisis monitoring device 20 can be stored in the memory of the electronic device, and executed by at least one processor to execute (see for details figure 1 Describe) the function of the artificial intelligence-based crisis monitoring method.

[0095] In this embodiment, the artificial intelligence-based crisis monitoring device 20 can be divided into multiple functional modules according to the functions it performs. The functional modules may include: an area determination module 201 , a risk calculation module 202 , an image acquisition module 203 , a behavior re...

Embodiment 3

[0138] This embodiment provides a computer-readable storage medium, and a computer program is stored on the computer-readable storage medium. When the computer program is executed by a processor, the steps in the above-mentioned embodiments of the artificial intelligence-based crisis monitoring method are implemented, for example figure 1 S11-S15 shown:

[0139] S11, if it is detected that the heart rate fluctuation value of the target user is greater than a preset fluctuation threshold, determine a risk prediction area based on the coordinate position corresponding to the target user;

[0140] S12. Determine a first risk value corresponding to the target user according to the risk prediction area;

[0141] S13. If the first risk value is greater than a first threshold, control the photographing device corresponding to the coordinate position to capture a behavior image corresponding to the target user;

[0142] S14, input the behavior image into the trained behavior recognit...

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Abstract

The invention relates to the technical field of artificial intelligence, and provides a risk monitoring method and device based on artificial intelligence, electronic equipment and a medium, and the method comprises the steps: determining a risk pre-judgment region based on a coordinate position corresponding to a target user if it is detected that the heart rate fluctuation value of the target user is greater than a preset fluctuation threshold value; determining a first risk value corresponding to the target user according to the risk pre-judgment area; if the first risk value is greater than a first threshold value, controlling a shooting device corresponding to the coordinate position to collect a behavior image corresponding to the target user; inputting the behavior image into a trained behavior recognition model to obtain a behavior recognition result corresponding to the target user; and if the behavior recognition result does not belong to the behavior in the safety behavior library, performing early warning according to a preset early warning rule. According to the invention, the efficiency of dangerous situation monitoring is improved.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, in particular to an artificial intelligence-based crisis monitoring method, device, electronic equipment and media. Background technique [0002] At present, danger monitoring is mainly through human monitoring, for example, monitoring whether someone is drowning is mainly through the observation of lifeguards. However, it is difficult to ensure that someone is in danger at the first time through manual monitoring of the crisis, and it is easy to miss the best time for rescue. Now it is also possible to make a simple judgment through the danger detection equipment, but the use of danger detection equipment is easy to cause misjudgment, and the accuracy of judging the danger is not high. [0003] Therefore, how to improve the accuracy of judging critical situations is an urgent problem to be solved. Contents of the invention [0004] In view of the above, it is necess...

Claims

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Application Information

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IPC IPC(8): G06Q50/26G06Q10/06
CPCG06Q50/265G06Q10/0635
Inventor 刘彪
Owner PINGAN PUHUI ENTERPRISE MANAGEMENT CO LTD
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