Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Big data analysis-based set of sign vehicle recognition method, system and storage medium

A recognition method and big data technology, applied in the field of intelligent transportation, can solve problems such as the inability to accurately identify vehicles with license plates

Active Publication Date: 2019-10-08
湖南科创信息技术股份有限公司
View PDF10 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention provides a recognition method, system and storage medium of licensed vehicles based on big data analysis, so as to solve the technical problem that the prior art cannot accurately identify licensed vehicles

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
  • Big data analysis-based set of sign vehicle recognition method, system and storage medium
  • Big data analysis-based set of sign vehicle recognition method, system and storage medium
  • Big data analysis-based set of sign vehicle recognition method, system and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0063] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings, but the present invention can be implemented in various ways defined and covered below.

[0064] like figure 1 As shown, the preferred embodiment of the present invention provides a method for identifying licensed vehicles based on big data analysis, which is used for fast and accurate identification of licensed vehicles. The identification method of described deck vehicle comprises the following steps:

[0065] Step S1: Obtain all bayonet numbers to form a bayonet set K={k 1 , k 2 , k 3 , k 4 ...k n};

[0066] Step S2: Establish bayonet pair two-dimensional matrix KK m , and copy the bayonet pair to the two-dimensional matrix KK m , specifically, establish the Cartesian product K*K of the bayonet set K itself, exhaust all bayonet pair combinations, and form n*n bayonet pair two-dimensional matrix KK m =[k i *k j ], i∈N + ∧i≤n,j∈N + ∧j≤n, ...

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 big data analysis-based set of sign vehicle recognition method, system and a computer readable storage medium. According to the big data analysis-based set of sign vehicle recognition method, vehicle running checkpoint trajectory data are counted and analyzed, the data are modeled, the running time and the probability distribution of a checkpoint pair are integrated for comparison, the recognition accuracy is good, particularly in combination of the registration information of a licensed vehicle, the set of sign vehicle checking and detaining accuracy and the efficiency are forcefully improved, the vehicle running environment is beautified, and the lives and the properties of people are ensured. Besides, the continuous characteristics of a vehicle trajectory are obtained in a condition without road network and distance data, missed shot data can also be compatible with, the effects are better in comparison with determination of the trajectory continuity through calculating the distance or according to the road network, and the complexity is lower.

Description

technical field [0001] The present invention relates to the technical field of intelligent transportation, in particular, to a recognition method, system and storage medium of license plate vehicles based on big data analysis. Background technique [0002] Clone vehicles, commonly known as cloned vehicles, refer to the model and color of the real license plate, and the fake license plates with the same number are placed on the same model and color of the vehicle. Because the owner of the license plate is using someone else’s license plate, he is bold when driving on the road, and commits serious violations of traffic laws such as crossing red lights and crossing yellow lines, which brings serious safety hazards to traffic safety, or family members, friends, etc. Self-deck within the circle to evade related scrutiny and fees. Due to the characteristics of strong concealment and difficulty in investigation and evidence collection, and there is no effective method or system to...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01G08G1/017
CPCG08G1/0125G08G1/0175
Inventor 李建华杨杰
Owner 湖南科创信息技术股份有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com