ANPR and ANPR-System

These are **competitors**: both implement end-to-end ANPR pipelines (detection + OCR) for the same task, with A differentiating through Russian specialization and custom CRNN architecture while B offers a more general-purpose solution.

ANPR
43
Emerging
ANPR-System
42
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 8/25
Community 25/25
Maintenance 6/25
Adoption 6/25
Maturity 13/25
Community 17/25
Stars: 398
Forks: 147
Downloads:
Commits (30d): 0
Language: Python
License:
Stars: 20
Forks: 9
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
No License Stale 6m No Package No Dependents
No Package No Dependents

About ANPR

GuiltyNeuron/ANPR

license plate detection and recognition

Automatically identify and read vehicle license plates from images, helping you process large volumes of visual data quickly. It takes an image containing vehicles as input and provides the recognized license plate number as output. This tool is designed for anyone needing to efficiently track or log vehicle movements, such as security personnel, parking lot managers, or traffic analysts.

traffic-management vehicle-tracking parking-enforcement security-monitoring logistics-operations

About ANPR-System

Runoi/ANPR-System

High-accuracy Russian ANPR system built with YOLOv8 for detection and an optimized, custom-trained PyTorch CRNN for OCR.

This system helps identify and read Russian vehicle license plates from images or live video feeds. It takes any image or video containing Russian license plates as input and outputs the recognized plate numbers. It's designed for anyone needing to automate the identification of vehicles based on their license plates, such as security personnel, traffic analysts, or parking managers.

traffic-management vehicle-identification security-monitoring parking-enforcement surveillance

Scores updated daily from GitHub, PyPI, and npm data. How scores work