Perceptual data analysis method and device for determining suspects

A technology of perceptual data and analysis methods, applied in the field of perceptual data analysis to determine suspects, can solve problems such as multi-time and police force, efficiency and accuracy impact, etc., to achieve the effect of improving efficiency and accuracy, and accurate investigation

Inactive Publication Date: 2019-08-27
武汉数矿科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the case of a huge amount of collected data and a lack of practical and effective analysis tools, digging clues from it is no different from finding a needle in a haystack. It takes a lot of time and police force, and the efficiency and accuracy of data comparison and analysis will be greatly affected. This has undoubtedly become a bottleneck in finding suspects in cases based on multi-point investigation.

Method used

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  • Perceptual data analysis method and device for determining suspects
  • Perceptual data analysis method and device for determining suspects
  • Perceptual data analysis method and device for determining suspects

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0067] The embodiment of the present invention provides a sensory data analysis method for determining a suspect, which can help police personnel quickly determine the identity of the suspect after a crime occurs, and is conducive to the tracking and arrest of the suspect. Such as figure 1 As shown, the perception data analysis method provided by the embodiment of the present invention specifically includes:

[0068] Step 201, by comprehensively studying and judging the sensing data collected by the sensing devices around the crime scene, the suspect's action track after the crime is determined on the police map.

[0069] The present invention performs tracking analysis based on the police map, and the point information of various sensing devices within the involved range can be displayed on the police map. Wherein, the sensing device includes a camera and / or an electronic fence, and the camera includes one or more of a portrait camera, a video camera, and a vehicle camera, a...

Embodiment 2

[0112] As mentioned in the above-mentioned embodiments, the identity of the suspect can be determined by sensing data information, that is, using any one or any of portrait data (acquired by camera), vehicle data (acquired by camera) and electronic fence data (acquired by electronic fence). Two or all three to analyze and determine the identity of the suspect. Generally speaking, it is relatively easy to determine the identity of the suspect through all three sensory data, but it may be difficult to determine the identity of the suspect through any two of the sensory data, especially if only When obtaining a piece of sensory data, it is relatively difficult to determine the identity of the suspect.

[0113] In the actual business of the public security, because many suspects have certain anti-reconnaissance capabilities, they may use various methods to avoid being discovered or identified by the public security organs when committing crimes. For example, when some suspects us...

Embodiment 3

[0129] In Embodiment 1, the action trajectory of the suspect after the crime is determined by comprehensively studying and judging the sensing data collected by the sensing devices around the crime scene (ie step 201). When determining according to the perception data collected by cameras along the way, the image features of the suspect need to be determined first (refer to step 2011 for details). It is not clear, and there are no eyewitnesses to provide corresponding information, or due to the crowds, the camera cannot directly lock the perpetrators. At this time, it is difficult to directly obtain the suspect's movement track through the camera.

[0130] Considering that most people carry mobile phones with them when they go out, and the mobile trajectory of the mobile phone can be tracked and detected by the electronic fence device, therefore, in the case that it is difficult to directly obtain the image features of the suspect, the embodiment of the present invention can be...

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Abstract

The invention relates to the technical field of public safety, in particular to a perception data analysis method and device for determining suspects. The method comprises the steps of carrying out the comprehensive study and judgment on the perception data collected by all perception devices around a criminal site, and determining an action track of the suspect after criminal; according to the action track of the suspect, matching a plurality of sensing devices along the way, and calculating the space-time range condition of case study and judgment; based on the space-time range condition andthe plurality of sensing devices, framing a plurality of space-time studying and judging areas along an action track, and performing node setting on each area; determining the perception data information of the suspect by performing the cross collision comparison on the perception data in each space-time study and judgment area, and then determining the identities of the suspects. By constructingthe plurality of space-time studying and judging areas and carrying out the cross collision on the perception data of the areas, the perception data information and the identities of suspects can bequickly obtained, so that the case studying and judging efficiency and accuracy are improved.

Description

[0001] 【Technical field】 [0002] The invention relates to the technical field of public security, in particular to a method and device for analyzing sensory data for determining suspects. [0003] 【Background technique】 [0004] With the rapid development of Internet of Things technology, in the actual Internet of Things equipment environment of public security, there are already face cameras, video cameras, electronic fences, WIFI sniffing and other sensing devices. Sensing data such as information can be recorded, and these data accumulate to form a huge amount of data, which makes the workload become extremely large and complicated when investigating suspected targets and looking for clues in the actual business of public security. Finding clues from these massive amounts of data is tantamount to finding a needle in a haystack. It also takes a lot of time and police force. Often the results are not satisfactory, and the best time to solve the case is delayed. How to find v...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/29G06F16/9537G06F16/583G06Q50/26
CPCG06Q50/26G06F16/29G06F16/583G06F16/9537
Inventor 胡卫东冯亮胡晗吴明浩
Owner 武汉数矿科技有限公司
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