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Method and system for retrieving license plate vehicles

A technology for licensed vehicles and vehicles, which is applied in the field of retrieval methods and systems for licensed vehicles, and can solve problems such as the inability to achieve accurate retrieval and verification of licensed vehicles

Active Publication Date: 2021-04-23
GOSUNCN TECH GRP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] This technical solution proposes a search and system for licensed vehicles, which solves the technical problem of accurate retrieval and verification of licensed vehicles that cannot be realized in the prior art

Method used

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  • Method and system for retrieving license plate vehicles
  • Method and system for retrieving license plate vehicles
  • Method and system for retrieving license plate vehicles

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0039] figure 1 This is a schematic flowchart of the present embodiment, a method for retrieving a license plate vehicle, including:

[0040] Step 101, pre-train a model for vehicle filtering, where the model includes a vehicle type model, a color model, a sub-brand model, a license plate information model, and a feature area classification model;

[0041] The method for retrieving fake license plates disclosed in this embodiment adopts a deep learning target detection model. Since deep learning has a powerful feature learning capability, the target detection accuracy and efficiency can be improved. Specifically, in this embodiment, classical models such as vgg and resnet are used for optimization, and the requirements of accuracy and speed are met at the same time.

[0042] In this embodiment, model training is performed on the vehicle images collected from the cameras at the public security traffic bayonet to obtain a variety of filtering models. The filtering models here i...

Embodiment 2

[0061] This embodiment is essentially an improvement of Embodiment 1, specifically, an improvement proposed in step 106. To ensure the completeness of the description, all steps of Embodiment 2 are described below. It should be noted that this embodiment Steps 201 to 205 are the same as the solutions of steps 101 to 105 in the embodiment.

[0062] figure 2 This is a schematic flowchart of the present embodiment, a method for retrieving a license plate vehicle, including:

[0063] Step 201, pre-train a model for vehicle filtering, where the model includes a vehicle type model, a color model, a sub-brand model, a license plate information model, and a feature area classification model;

[0064] The method for retrieving fake license plates disclosed in this embodiment adopts a deep learning target detection model. Since deep learning has a powerful feature learning capability, the target detection accuracy and efficiency can be improved. Specifically, in this embodiment, clas...

Embodiment 3

[0086] image 3 It is a schematic diagram of the structure of this embodiment, a retrieval system for licensed vehicles, including:

[0087] The training unit 301 is used to pre-train a model for vehicle filtering, where the model includes a vehicle type model, a color model, a sub-brand model, a license plate information model, and a feature area classification model;

[0088] The obtaining unit 302 is used to obtain the first image of the target vehicle information to be retrieved, and extract the vehicle license plate number information of the first image; the first removal unit 303 is used to remove the vehicle license plate number information of the first image, and obtain the second image, Extracting vehicle type information, vehicle color information, vehicle sub-brand information, and feature extraction area information of the second image;

[0089] The second removal unit 304 is used to remove the license plate number information of the original test set vehicle of t...

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Abstract

The present invention provides a method and system for retrieving fake license plates. The method includes: pre-training a classification model for vehicle filtering; The license plate number information obtains the second image, removes the vehicle passing records and the license plate number information of the vehicle in the original test set to obtain the second test set, and filters out the vehicle images in the second test set that are different from the target vehicle type, color, and sub-brand to obtain the third test set. In the test set, select the vehicle image set in the third test set whose similarity with the second image meets the similarity requirements, restore the license plate number information of the vehicle in the image set, and match the license plate information of the vehicle in the image set with the license plate information of the first image. verification, so as to achieve the purpose of matching verification. By adopting the technical scheme of the present invention, the technical problem of accurate retrieval and verification that cannot be realized in the prior art for the duplicate license plate vehicle is solved.

Description

[0001] The technical solution relates to the field of vehicle monitoring, and in particular, to a method and system for retrieving counter-licensed vehicles. Background technique [0002] With the research and application of computer vision technology, the intelligence and reliability of target tracking and retrieval can be used in realistic scenarios such as government control, illegal locking, and suspect tracking. It has been used in transportation, public security, military, energy In many other fields, there is a trend of further in-depth development. [0003] In the field of vehicle tracking and monitoring, the image information of the target vehicle is generally known, and the target vehicle needs to be found in a massive test library. In the process of criminal case handling, there is a special circumstance that the vehicle driven by the criminal suspect is a vehicle with a set of license plates, that is, the criminal suspect constantly changes the license plate. [0...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/583G06K9/32G06K9/62
CPCG06V20/63G06V20/625G06F18/24G06F18/214
Inventor 黎邹邹毛亮李超熊伟郑康元文莉薛坤南黄仝宇汪刚宋一兵侯玉清刘双广
Owner GOSUNCN TECH GRP
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