A collection of sample applications demonstrating SimpleLPR, a handy license plate recognition (LPR/ANPR) library for C++, .NET, and Python.
SimpleLPR is a professional-grade library that automatically detects and reads vehicle license plates in images and video streams. With over 10 years of development and hundreds of production deployments, it provides:
- 🎯 85-95% accuracy under typical conditions
- 🌍 Support for ~90 countries with region-specific templates
- 🚀 High-performance multi-threaded processing
- 📹 Real-time video analysis with temporal tracking
- 🔧 Simple API that just works
This repository contains ready-to-run examples showcasing SimpleLPR's capabilities:
The repository covers all major SimpleLPR features through practical examples:
- Single image analysis
- Batch processing of multiple images
- Video file processing
- RTSP stream analysis
- Multi-threaded processing with pools
- Plate tracking demonstrations
Console Applications
- Basic image processing examples
- Command-line tools for batch operations
- Video processing with plate tracking across frames
GUI Applications
- WPF Application (Windows only) - Full-featured desktop application with real-time video display
- Avalonia Application (Cross-platform) - Modern UI application that runs on Windows and Linux
All core functionality is available in multiple languages:
- C# (.NET) - Complete set of examples from basic to advanced
- Visual Basic (.NET) - Basic SimpleLPR functionality in VB.NET syntax
- Python - Comprehensive samples with Pythonic API
Each language provides equivalent functionality, so you can choose based on your preferences and existing codebase.
Each example includes detailed comments explaining:
- How to initialize the SimpleLPR engine
- Country-specific configuration
- Image and video processing workflows
- Result interpretation
- Best practices for production use
- SimpleLPR SDK - 60-day evaluation available
- Operating System - Windows 10/11 or Ubuntu 20.04+ (x64)
- Development Tools:
- .NET: Visual Studio 2019+ or .NET SDK
- Python: Python 3.8, 3.9, 3.10, 3.11, or 3.12
- Open any
.csproj(C#) or.vbproj(VB.NET) file in Visual Studio 2019 or later - Build and run (F5)
# Navigate to any sample directory containing a .csproj or .vbproj file
cd [sample_directory]
dotnet build
dotnet run [arguments]Most console samples expect arguments in this format:
dotnet run <image_or_video_path> <country_id> [product_key]Example:
dotnet run parking_lot.jpg 82 license.xml # 82 = SpainThe GUI applications can be run without arguments and provide interactive interfaces.
- Install SimpleLPR from PyPI:
pip install SimpleLPR- Navigate to the Python samples directory and explore the available examples:
cd [python_samples_directory]
python [sample_name].pyMost Python samples include built-in help and usage instructions. Run them without arguments to see available options.
SimpleLPR supports license plates from approximately 90 countries. Here are some commonly used ones:
| ID | Country | ID | Country | ID | Country | ID | Country |
|---|---|---|---|---|---|---|---|
| 5 | Austria | 16 | Canada | 32 | France | 45 | Italy |
| 8 | Belgium | 19 | Colombia | 34 | Germany | 63 | Netherlands |
| 12 | Brazil | 28 | Ecuador | 41 | India | 71 | Poland |
| 14 | Cambodia | 30 | Estonia | 43 | Ireland | 82 | Spain |
| 15 | Cameroon | 31 | Finland | 44 | Israel | 90 | UK-GreatBritain |
Special Templates:
- IDs 97-102: Numerical recognition (3-8 digits)
- ID 46: Italy-Moped, ID 47: Italy-Vintage
- ID 50: Kemler Code (hazardous materials)
Run any sample without arguments to see the complete list of all supported countries.
- Load images from files or memory
- Detect multiple plates in a single image
- Get plate text, confidence scores, and locations
- Extract individual character positions
- Process video files (MP4, AVI, etc.)
- Connect to RTSP/HTTP streams
- Real-time analysis with minimal latency
- Automatic frame buffering and synchronization
- Track plates across multiple frames
- Reduce false positives through temporal correlation
- Handle temporary occlusions
- Generate consolidated results per vehicle
- Multi-threaded processor pools
- Concurrent stream processing
- GPU acceleration (CUDA version)
- Configurable frame size limits
SimpleLPR Version: 3.6.0.0
Processing: highway_video.mp4
Country: Spain
[NEW PLATE] Frame 42 @ 1.4s: 1234ABC (Spain) - Confidence: 0.987
[NEW PLATE] Frame 89 @ 3.0s: 5678XYZ (Spain) - Confidence: 0.923
[TRACK CLOSED] 1234ABC - Duration: 4.2s (126 frames)
Total plates detected: 47
Processing time: 150.3 seconds
Average speed: 20.2 fps
- 📖 User Guide - Complete documentation
- 🔧 .NET API Reference - Detailed class reference
- 🐍 Python API Reference - Python-specific documentation
- 🚀 Python Quick Start - Get started quickly
These samples require the SimpleLPR SDK. You can:
- Download the evaluation - 60-day trial with full features
- Contact sales - For licensing options
The SDK includes:
- Native libraries for C++, .NET, and Python
- Complete documentation
- Additional sample code
- Technical support
The code samples in this repository are provided under the MIT License. SimpleLPR itself is commercial software - see licensing options for details.
- 📧 Email: support@warelogic.com
- 🌐 Website: https://www.warelogic.com
- 📝 Include: Version info, error messages, and sample images when reporting issues
SimpleLPR - Professional license plate recognition since 2009