Method and system for predicting crime hot spots

A forecasting method and hotspot technology, applied in forecasting, instrumentation, data processing applications, etc., can solve problems such as difficulty in extracting collaborative crime events, and achieve the effect of avoiding interference from subjective factors and comprehensive features

Active Publication Date: 2018-12-21
CHINA HUA RONG HLDG
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  • Abstract
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AI Technical Summary

Problems solved by technology

However, modern criminal activities tend to be coordinated by multiple people in different places in a certain area. It is difficult to e

Method used

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  • Method and system for predicting crime hot spots
  • Method and system for predicting crime hot spots
  • Method and system for predicting crime hot spots

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Embodiment Construction

[0047] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0048] The embodiment is basically as attached figure 1 Shown:

[0049] The method for predicting crime hotspots in the present embodiment comprises the following steps:

[0050] S1: Obtain the source data and generate multiple kde heat maps according to the source data. In this example, 5 years of crime data are used, 2 crime data per day, and a total of about 3650 crime data in 5 years. If there is a leap year, the number of days will increase. The kde heat map in this embodiment is a crime hotspot prediction map obtained based on kernel density estimation, and the source data is data with historical criminal records and geographical locations recorded in a specific area. The historical criminal records and geogr...

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Abstract

The invention relates to a crime hot spot prediction method and a system, and relates to the field of public safety. This scheme solves the technical problem of how to find the collaborative crime indifferent regions, and is suitable for predicting the crime probability in different regions. The invention comprises the following steps: S1, acquiring source data, and generating a plurality of kdehot spots according to the source data; S2, creating a convolution neural network model and training that convolution neural network model accord to the kde hot spot graph; S3: using the trained convolution neural network model to extract the common features of the kde hot spots in different regions, and obtaining the cnn hot spots which contain the information of collaborative crime. The invention is suitable for predicting the crime probability of each region.

Description

technical field [0001] The invention relates to the field of public security, in particular to a method and system for predicting crime hotspots. Background technique [0002] In order to maintain public safety, it is necessary to predict the crime probability in the area, so as to increase the police force in areas with high probability to reduce or even avoid the occurrence of crime incidents, and to avoid damage to the interests of the masses to the greatest extent. By analyzing the crime hotspots of images in a certain area, the crime hotspot map can be obtained, and the crime distribution in a certain area can be visually viewed, so that the police force can be allocated according to the crime distribution. [0003] The crime heat map prediction method based on Kernel Density Estimation (KDE, Kernel Density Estimation) is a relatively classic crime prediction method based on spatio-temporal information. The probability function calculates how likely a crime is to occur...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/26
CPCG06Q10/04G06Q50/265
Inventor 张镇伊文超史云飞梁波赵国强
Owner CHINA HUA RONG HLDG
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