Automatic-License-Plate-Recognition-using-YOLOv8 and ANPR-System

Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 6/25
Adoption 6/25
Maturity 13/25
Community 17/25
Stars: 428
Forks: 154
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 20
Forks: 9
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m No Package No Dependents
No Package No Dependents

About Automatic-License-Plate-Recognition-using-YOLOv8

Muhammad-Zeerak-Khan/Automatic-License-Plate-Recognition-using-YOLOv8

License Plate Detection using YOLOv8

This tool helps security personnel or parking managers automatically identify and record vehicle license plates from video footage. It takes video as input and outputs a list of detected license plates, useful for tracking vehicle movements or managing access. The primary users are professionals in security, traffic management, or parking operations.

vehicle-tracking security-monitoring access-control traffic-management parking-enforcement

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