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

License plate classification method and system based on deep learning

A license plate classification and deep learning technology, applied in the field of data processing, can solve problems such as error-prone and costly manpower and material resources, and achieve accurate classification, improve accuracy and work efficiency

Inactive Publication Date: 2016-11-16
PING AN TECH (SHENZHEN) CO LTD
View PDF3 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, in the relevant auto insurance business (for example, auto insurance claims business), insurance companies will obtain a large number of claims vehicle photos. In order to effectively manage claim vehicle photos, insurance companies usually use manual methods to determine the relevant vehicles in each claim vehicle photo. According to the purpose of the vehicle (for example, truck use, police use, private car use, military use, etc.), and then manually classify the photos of the claimed vehicles according to the purpose of the vehicle, this method will not only consume a lot of manpower and material resources, but also error-prone

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
  • License plate classification method and system based on deep learning
  • License plate classification method and system based on deep learning
  • License plate classification method and system based on deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] refer to figure 1 As shown, it is a schematic diagram of the application environment of a preferred embodiment of the present invention to realize the license plate classification method based on deep learning. The schematic diagram of the application environment includes an electronic device 1 and a terminal device 2 . The electronic device 1 can perform data interaction with the terminal device 2 . The electronic device 1 includes a license plate classification system 10 based on deep learning (hereinafter referred to as "classification system"), a storage device 11, a processing device 12, and the like. In other embodiments, the electronic device 1 may also include other components, not limited to figure 1 shown.

[0048] The electronic device 1 is a device capable of automatically performing numerical calculation and / or information processing according to preset or stored instructions. The electronic device 1 may be a computer, a single network server, a server ...

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 license plate classification method and system based on deep learning, and is applied to an electronic apparatus. The method comprises the following steps: obtaining at least one picture sent by a terminal device; preprocessing the obtained at least one picture so as to enable the preprocessed at least one picture to match input parameters of a pre-trained identification model; and inputting the preprocessed at least one picture into the pre-trained identification model, identifying vehicle purpose information corresponding to the at least one picture by use of the pre-trained identification model, and sending the vehicle purpose information corresponding to the at least one picture to the terminal device. The purpose of a vehicle in the picture can be accurately and automatically identified, accurate classification can also be realized, and the accuracy and the work efficiency are improved.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a deep learning-based license plate classification method and system. Background technique [0002] At present, in the relevant auto insurance business (for example, auto insurance claims business), insurance companies will obtain a large number of claims vehicle photos. In order to effectively manage claim vehicle photos, insurance companies usually use manual methods to determine the relevant vehicles in each claim vehicle photo. According to the purpose of the vehicle (for example, truck use, police use, private car use, military use, etc.), and then manually classify the claims vehicle photos according to the purpose of the vehicle, this method will not only consume a lot of manpower and material resources, but also error-prone. Contents of the invention [0003] In view of the above, it is necessary to provide a license plate classification method and system based ...

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): G06K9/62G06Q10/10G06V10/764
CPCG06Q10/103G06V10/751G06V20/625G06V2201/08G06F18/241G06N3/084G08G1/0175G06V20/63G06V10/82G06V10/764G06N3/045G06N3/08G06V2201/01G06F18/24G06F18/214G06F18/2414G06N5/046
Inventor 王健宗刘铭肖京
Owner PING AN TECH (SHENZHEN) CO LTD
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