Fake-licensed car recognition method and system based on Hadoop

An identification method and identification system technology, which are applied in the field of Hadoop-based identification methods and systems for fake license plates, can solve problems such as difficulty in database data management and optimization, low efficiency in query and analysis, etc. Brand violations, efficient query and analysis, and the effect of efficient data query and analysis

Active Publication Date: 2014-12-10
SOUTH CHINA UNIV OF TECH +1
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AI Technical Summary

Problems solved by technology

For a city with a huge number of vehicles, the amount of vehicle data collected every day reaches terabytes. Using file storage or database storage, the efficiency of data query and analysis is very low, calculated on the basis of 100MB/sec for a single computer , it takes 1.5 hours to read

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  • Fake-licensed car recognition method and system based on Hadoop
  • Fake-licensed car recognition method and system based on Hadoop
  • Fake-licensed car recognition method and system based on Hadoop

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Embodiment Construction

[0050] The present invention will be further described in detail below in conjunction with the embodiments and the accompanying drawings, but the embodiments of the present invention are not limited thereto.

[0051] Such as figure 1 , 2 , a Hadoop-based deck car recognition method, including the steps in the following order:

[0052] S1. Preprocess and summarize the information of passing vehicles collected by each smart checkpoint system, and use the HBase distributed database to store data; specifically, the steps in the following order are included:

[0053] (1) Convert the original data of the EXCEL file format of the passing vehicle flow information collected by each smart bayonet system into a CSV format file;

[0054] (2) re-matching the checkpoint information of the checkpoint data file and the traffic flow data file using a matching algorithm based on similarity;

[0055] (3) Standardize and denoise the data;

[0056] (4) The unified format file after conversion ...

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Abstract

The invention discloses a fake-licensed car recognition method and system based on Hadoop. The method includes the following steps sequentially: preprocessing and collecting information of vehicles and collected by intelligent bayonet systems and adopting an HBase distributed database to store vehicle flow data; utilizing the Hadoop distributed frame to conduct modeling and analysis on the vehicle flow data and the bayonet data, utilizing a Map-Reducer programming frame to achieve suspicious fake-licensed car recognition, conducting traveling track analysis on suspicious fake-licensed cars and building a fake-licensed car early warning information base. According to the method and the system, a distributed technology is adopted, the problem in the prior art that the fake-licensed cars cannot be recognized effectively due to large data processing quantity is solved, data above the TB level can be effectively processed, the fake-licensed cars can be found accurately, and the method and system provides a basis for the traffic management department to investigate the fake-licensed cars.

Description

technical field [0001] The invention relates to the field of big data analysis, in particular to a method and system for identifying licensed vehicles based on Hadoop. Background technique [0002] With the growth of our country's national economic level, the number of motor vehicles is increasing rapidly every year. It is an important measure to ensure traffic safety to investigate and deal with various traffic violations. Among all kinds of traffic laws and regulations, vehicle "decking" is an illegal act with serious harm. The phenomenon of vehicle "deck plate" refers to the phenomenon that a vehicle illegally uses the same license plate number as other legal vehicles. According to reports from local media, "deck" vehicles seriously endanger the transportation industry and its operating order, posing a serious threat to people's safety and the interests of legal vehicles. Lawbreakers use other people's vehicle license plates to evade responsibility for causing accidents...

Claims

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Application Information

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IPC IPC(8): G08G1/017G06F17/30
Inventor 陈琼汪劲松陈志云
Owner SOUTH CHINA UNIV OF TECH
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