DoubangoTelecom/ultimateALPR-SDK
World's fastest ANPR / ALPR implementation for CPUs, GPUs, VPUs and NPUs using deep learning (Tensorflow, Tensorflow lite, TensorRT, OpenVX, OpenVINO). Multi-Charset (Latin, Korean, Chinese) & Multi-OS (Jetson, Android, Raspberry Pi, Linux, Windows) & Multi-Arch (ARM, x86).
This project offers powerful tools for automatically identifying and reading vehicle license plates and gathering detailed vehicle information from video feeds or images. It takes in video streams or images and outputs recognized license plate numbers, country of origin, vehicle make, model, color, body style, direction, and even estimated speed. It is ideal for transportation professionals, parking enforcement, security teams, or smart city developers who need to process vehicle data on local devices.
709 stars.
Use this if you need a fast and accurate system to identify and track vehicles by their license plates and characteristics directly on edge devices like cameras, without relying on cloud processing.
Not ideal if your primary need is basic image processing or a general object detection system not focused on vehicle and license plate recognition.
Stars
709
Forks
174
Language
C++
License
—
Category
Last pushed
Nov 05, 2025
Commits (30d)
0
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