Vehicle Recognition SDK is a C/C++ library, with additional bindings in C#, Java, and Python, that reads from images or real-time video streams, processes the data, and produces license plate and vehicle recognition results.
Vendor
Rekor
Company Website
Rekor’s Vehicle Recognition SDK is a powerful software development kit designed to integrate automatic license plate recognition (ALPR) and vehicle identification capabilities directly into custom applications. Built as a C/C++ library with bindings for C#, Java, and Python, the SDK processes data from images or real-time video streams to deliver accurate recognition results. It runs locally on Windows, Linux x86, and ARM platforms, enabling developers to build on-premise solutions without relying on cloud infrastructure. This SDK is ideal for developers and organizations seeking to embed vehicle recognition functionality into their own systems, whether for security, traffic management, or commercial applications. It supports both still image and video stream processing through two distinct APIs, offering flexibility and precision in various deployment scenarios.
Features
- Multi-Language Support: Core SDK in C/C++, with bindings available for C#, Java, and Python.
- Local Deployment: Runs on Windows, Linux x86, and ARM platforms without cloud dependency.
- Two Unique APIs:
- Vehicle Recognition Image API – for processing individual images.
- Vehicle Recognition Stream API – for analyzing real-time video or time-ordered image sequences.
- Customizable Integration: Designed to integrate directly into your application for tailored recognition workflows.
- Real-Time Processing: Supports live video stream analysis for immediate recognition results.
- Flexible Input Sources: Reads from both static images and live video feeds.
Benefits
- On-Premise Control: Full control over data and processing with local deployment, ideal for privacy-sensitive environments.
- Developer-Friendly: Offers flexibility with multiple language bindings and straightforward API access.
- Scalable Integration: Easily embedded into existing applications across industries and use cases.
- Fast & Accurate Recognition: Delivers reliable license plate and vehicle identification from various input formats.
- Cross-Platform Compatibility: Supports major operating systems and hardware architectures.
- No Cloud Dependency: Eliminates latency and external data transmission concerns.