GithubHelp home page GithubHelp logo

andy521 / light-lpr Goto Github PK

View Code? Open in Web Editor NEW

This project forked from lqian/light-lpr

0.0 1.0 0.0 20.45 MB

Light-LPR is an open source project aimed at license plate recognition that can run on embedded devices, mobile phones, and x86 platforms. It aims to support license plate recognition in various scenarios. The accuracy rate of license plate character recognition exceeds 99.95%, and the comprehensive recognition accuracy rate exceeds 99.%, Support multi-country and multilingual license plate recognition.

CMake 0.39% C++ 23.82% C 75.79%

light-lpr's Introduction

 __       __    _______  __    __  .___________.        __      .______   .______      
|  |     |  |  /  _____||  |  |  | |           |       |  |     |   _  \  |   _  \     
|  |     |  | |  |  __  |  |__|  | `---|  |----`______ |  |     |  |_)  | |  |_)  |    
|  |     |  | |  | |_ | |   __   |     |  |    |______||  |     |   ___/  |      /     
|  `----.|  | |  |__| | |  |  |  |     |  |            |  `----.|  |      |  |\  \----.
|_______||__|  \______| |__|  |__|     |__|            |_______|| _|      | _| `._____|

Light-LPR or named MLPR is an open source project aimed at license plate recognition that can run on embedded devices, mobile phones, and x86 platforms. It aims to support license plate recognition in various scenarios. The accuracy rate of license plate character recognition exceeds 99.95%, and the comprehensive recognition accuracy rate exceeds 99%. The project supports multi-lingual and multi-country license plates.

English | 中文 | 中文繁体 | 한국어

Light-LPR(MLPR)是一个瞄准可以在嵌入式设备、手机端和x86平台上运行的车牌识别开源项目,旨在支持各种场景的车牌识别,车牌字符识别准确率超99.95%,综合识别准确率超过99%,支持多国家多语言的车牌识别。

Light-LPR(MLPR)は、埋め込みデバイス、携帯電話、x86プラットフォームで実行できるナンバープレート認識を目的としたオープンソースプロジェクトです。さまざまなシナリオでナンバープレート認識をサポートすることを目的としています。ナンバープレート文字認識の精度は99.95%を超え、包括的な認識精度は99%を超えます。 多国間および多言語のナンバープレート認識をサポートします。

Light-LPR(MLPR)은 임베디드 장치, 휴대폰 및 x86 플랫폼에서 실행할 수있는 번호판 인식을 목표로하는 오픈 소스 프로젝트로, 다양한 시나리오에서 번호판 인식을 지원하는 것을 목표로하며, 번호판 문자 인식의 정확도는 99.95 %를 초과하고 포괄적 인 인식 정확도는 99를 초과합니다. %, 다중 국가, 다중 언어 및 다중 유형 번호판 인식을 지원합니다.

  • We look forward to cooperating to develop license plate recognition.
  • ナンバープレート認識の開発にご協力いただければ幸いです。
  • 우리는 번호판 인식을 개발하기 위해 협력을 기대합니다
  • Nous sommes impatients de travailler avec vous pour développer la reconnaissance des plaques d'immatriculation
  • Мы с нетерпением ждем совместной работы с вами по разработке системы распознавания автомобильных номеров
  • Expectamus ad vos cum operantes develop per licentiam laminam recognition
  • نتطلع إلى العمل معك لتطوير التعرف على لوحة الترخيص
  • เราหวังว่าจะทำงานร่วมกับคุณเพื่อพัฒนาการจดจำป้ายทะเบียน
  • हम लाइसेंस प्लेट मान्यता विकसित करने के लिए आपके साथ काम करने के लिए तत्पर हैं

Change Log

  • 2021-06 LLPR-313E发布,支持充电桩、地下车库场景识别,最多可同时识别3个车牌。支持**、**和南韩车牌识别
  • 2021-04 LLPR-CN-330E发布支持车载巡检车牌识别; light-lpr-api 1.4.5发布,开放设备管理接口
  • 2021-02 第四代识别引擎light-lpr-pro 4.0发布,全力支持**大陆地区双行车牌的识别,改善对小尺寸车牌识别的效果
  • 2021-01 硬件识别引擎支持FTP上传,HTTP上传,light-lpr-httpdemo-0.0.1发布
  • 2020-11 light-lpr-api 1.2.0发布,支持c/c++, c#, Java, android.
  • 2020-10 识别模组管理工具Light LPR Tool发布,演示视频链接 提取码: ewqb , 演示视频2 提取码: cun3
  • 2020-08 第三代硬件识别引擎
  • 2020-06 第三代识别引擎
  • 2020-04 2019 스타일 번호판, 1973 스타일 번호판, 1996 스타일 번호판에 대한 완벽한 지원
  • 2020-04 LightLPR apk支持 android 5,6,7,8,9,10
  • 2020-01 한국 번호판 인식 지원
  • 2019-12 支持**车牌识别
  • 2019-11 开源Windows x86编译方法,提供Opencv-3.4.2 Windows预编译包
  • 2019-08 开源支持黄牌识别的模型和车牌颜色识别模型
  • 2019-07 开源支持中华人民共和国境内蓝色车牌识别模型

License plate recognization benchmark for 1080P image

CPU Memory average cost of community version (ms) average cost of Commercial version(ms)
X86 i5-8265 8G 451 < 50
ARM A53 1G 1532 < 160
Huwei P20 pro ... 4G - < 100
LLPR-320E A73 256M - < 45 (NPU support)
LLPR-310E A79 256M - < 85 (NPU support)

API supported programming Language

  • C/C++
  • C#
  • JAVA
  • Android

License

LGPL

Please refer to the project file for the installation method install_en.md

Others

  • Email: [email protected], Phone: +86 18010870244, Skype: +86 18010870244
  • For technical communication, data exchanges and donations, please contact the author or join QQ group, light-LPR group number: 813505078, Image Processing Analysis Machine Vision gropu number, 109128646.

light-lpr's People

Contributors

lqian avatar

Watchers

James Cloos avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.