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Data analysis method, device and system based on wearable device data

A technology for data analysis and wearable equipment, applied in the field of data analysis, it can solve the problem of inability to cope with data source errors and data analysis errors, and achieve the effect of improving stability and effectiveness, intelligent and more accurate abnormal situation analysis, and avoiding data analysis errors.

Active Publication Date: 2022-07-08
广东省通信产业服务有限公司 +1
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] With the rise of image data analysis technology, more and more fields begin to apply image data analysis technology to realize intelligent scene recognition and abnormal analysis. For example, in the public transportation field, image data can be used to analyze the types of traffic accidents. Generally, technology only uses a single source of data when realizing situation recognition and abnormal analysis, such as a specific camera in an area. This method obviously cannot cope with data analysis errors when a single data source is wrong or is not enough to serve as the basis for data analysis. question

Method used

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  • Data analysis method, device and system based on wearable device data
  • Data analysis method, device and system based on wearable device data
  • Data analysis method, device and system based on wearable device data

Examples

Experimental program
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Effect test

Embodiment 1

[0099] see figure 1 , figure 1 It is a schematic flowchart of a data analysis method based on wearable device data disclosed in an embodiment of the present invention. like figure 1 As shown, the data analysis method based on wearable device data may include the following operations:

[0100] 101. Acquire first image data of a target area in which an abnormal condition occurs, and determine whether the first image data is sufficient to analyze the abnormality of the target area.

[0101] Optionally, the first image data may be acquired by a fixed image acquisition device set in the target area and bound to the target area. Optionally, the abnormal situation may be a traffic abnormal situation such as a traffic accident, or a social abnormal situation such as a violent terrorist incident, or an abnormal situation within the scope of other definitions, which is not limited in the present invention. Optionally, the type of the target area can also be various types of areas, s...

Embodiment approach

[0142] As an optional embodiment, the method also includes:

[0143] According to the first abnormal situation and the second abnormal situation, the reliability parameter of the image acquisition device corresponding to the first image data is determined, and the reliability of the image acquisition device is determined according to the reliability parameter.

[0144] Optionally, the reliability profile can be used to indicate the reliability of the image acquisition device, and can be used later to assess whether the device is faulty or has the potential to be hacked and tampered with, for example when the reliability parameter is very low If the reliability situation is determined to be unreliable, the equipment may be refurbished or replaced. Optionally, the reliability parameter of the image acquisition device corresponding to the first image data can be determined by comparing the difference between the first abnormal situation and the second abnormal situation, for exam...

Embodiment 2

[0159] see figure 2 , figure 2 It is a schematic structural diagram of a data analysis device based on wearable device data disclosed in an embodiment of the present invention. like figure 2 As shown, the data analysis device based on wearable device data may include:

[0160] The judging module 201 is configured to acquire first image data of a target area in which an abnormal situation occurs, and judge whether the first image data is sufficient for anomaly analysis of the target area.

[0161] Optionally, the first image data may be acquired by a fixed image acquisition device set in the target area and bound to the target area. Optionally, the abnormal situation may be a traffic abnormal situation such as a traffic accident, or a social abnormal situation such as a violent terrorist incident, or an abnormal situation within the scope of other definitions, which is not limited in the present invention. Optionally, the type of the target area can also be various types...

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Abstract

The invention discloses a data analysis method, device and system based on wearable device data. The method includes: acquiring first image data of a target area where an abnormal situation occurs, and judging whether the first image data is sufficient to carry out the target Anomaly analysis of the area; when it is determined that the first image data is insufficient for the anomaly analysis of the target area, according to the first image data, the witnessing users in the target area are determined; the witnessing users are possible The user who witnessed the abnormal situation; obtains the second image data of the target area obtained by the wearable device of the witnessing user; carries out the target according to the first image data and the second image data Anomaly analysis of regions. It can be seen that the present invention can realize more intelligent and accurate abnormal situation analysis, avoid data analysis errors caused by a single data source, and further improve the stability and effectiveness of data analysis.

Description

technical field [0001] The present invention relates to the technical field of data analysis, and in particular, to a data analysis method, device and system based on wearable device data. Background technique [0002] With the rise of image data analysis technology, more and more fields have begun to apply image data analysis technology to realize intelligent situation recognition and abnormal analysis. For example, in the field of public transportation, image data can be used to analyze the types of traffic accidents. Generally, when the technology realizes scene recognition and abnormal analysis, it only uses a single source of data, such as a specific camera in an area. This method obviously cannot cope with data analysis errors when a single data source has errors or is not enough as the basis for data analysis. question. It can be seen that there are defects in the prior art, which need to be solved urgently. SUMMARY OF THE INVENTION [0003] The technical problem ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V40/10G06V20/52G06V10/44G06V10/764G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06N3/04G06N3/08G06F18/2433G06F18/241
Inventor 肖群力曾沂粲赵仕嘉
Owner 广东省通信产业服务有限公司
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