Suspected vehicle determination method based on check point vehicle passing big data analysis

A technology of passing vehicle data and big data, which is applied in the field of suspect vehicle identification based on big data analysis of bayonet passing vehicles, can solve the time-consuming and laborious problems of manual query and matching, reduce the process of searching for suspect vehicles and improve the accuracy rate Effect

Active Publication Date: 2018-05-04
千方捷通科技股份有限公司
View PDF5 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In this case, in order to find the suspect vehicle,

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Suspected vehicle determination method based on check point vehicle passing big data analysis
  • Suspected vehicle determination method based on check point vehicle passing big data analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] The specific implementation and effect of the method of the present invention will be described in detail below in conjunction with specific examples. It should be noted that the technical features or combinations of technical features described in the following embodiments should not be regarded as isolated, and they can be combined with each other to achieve better technical effects.

[0022] The present invention will be described in detail below in conjunction with specific embodiments.

[0023] 1. If figure 1 Build the Hadoop big data platform for distributed storage as shown;

[0024] 2. Collect passing vehicle data information at each bayonet, identify all passing vehicles through image recognition algorithms, and obtain vehicle license plate number, color, vehicle brand and other information;

[0025] 3. If figure 2 The checkpoints adjacent to the selected crime location are denoted as C={C1, C2, C3,...};

[0026] 4. Extract the vehicle passing record of ch...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a suspected vehicle determination method based on check point vehicle passing big data analysis. By the method, a process of searching suspected vehicles is greatly shortened,and the recognition accuracy is improved. The suspected vehicle determination method based on check point vehicle passing big data analysis comprises the following steps: based on a national motor vehicle seizing and control system, acquiring real-time vehicle passing data information of various check points mounted and deployed in a city, organizing data by using an HBASE distributed database andcarrying out distributed storage; grouping respectively extracted vehicle passing records of numbers of equipment close to check points of an incident place before crime committing, at the current day of crime committing and after crime committing to obtain the vehicle passing frequency of every vehicle before crime committing, at the current day of crime committing and after crime committing; and analyzing the vehicle passing frequency of every vehicle before crime committing, at the current day of crime committing and after crime committing according to an actual case condition to obtain records of vehicles which frequently appear before crime committing and at the current day of crime committing and do not appear after crime committing, and these vehicles are determined as suspected vehicles.

Description

technical field [0001] The invention belongs to the field of big data analysis, and in particular relates to a method for identifying a suspected vehicle based on big data analysis of bayonet passing vehicles. Background technique [0002] With the improvement of social living standards and the rapid development of highway intelligent monitoring technology, many cities are now building "safe cities" and "smart cities". It can be found that a large number of checkpoints have been installed and deployed in many places in the city, gradually forming an invisible protection network. This network can detect the trajectory of motor vehicles in real time, and identify the vehicle license plate number, body color, vehicle brand and other information. [0003] With the popularization of motor vehicles, there are more and more car-related cases. However, most of these cases, especially the car-related cases that occurred at night, made it more difficult for the public security depart...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G08G1/017
CPCG08G1/017
Inventor 廖世奇李宗杰张恩亮刘荣星
Owner 千方捷通科技股份有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap