Fast Automatic License Plate Recognition (ALPR) framework.
Lightweight & fast OCR models for license plate text recognition.
MareArts' ANPR solution offers fast and accurate vehicle identification with seamless system integration.
Brazilian license plate detection, tracking and OCR pipeline with YOLO and PaddleOCR.
Detecting Number Plates on Vehicles and converting them into digital text using Deep Learning.
Automatic Number Plate Recognition for Non Roman Fonts & Other Scripts | Machine Learning Project.
ParkEase Pro is an AI-powered smart parking system built with Python, OpenCV, MySQL, and ANPR technology. It automatically calculates parking fees, tracks entry-exit times, and detects empty spots using AI for real-time monitoring.
License-Plate-Detection is a Python project that uses OpenCV to automatically detect and extract license plates from vehicle images. Ideal for image processing and computer vision tasks, it enables efficient vehicle identification by locating license plates with high accuracy and speed.
AI-powered traffic monitoring system using YOLO, DeepSORT, EasyOCR, FastAPI and WebRTC for vehicle detection, tracking, speed estimation and automatic license plate recognition.
Automatic Number Plate Detection and Number Extraction using Python, OpenCV, Haar Cascade, and Tesseract OCR.
Real-time ANPR pipeline for video plate detection, OCR, watchlist alerts, and audit-logged recognition events.
Automatic Number Plate Recognition (ANPR) using YOLOv3 (OpenCV DNN) for plate detection and EasyOCR for text extraction. Portfolio-ready demo with CLI, docs, and release assets.
Lite Automatic License Plate Recognition (ALPR) framework
AI-powered Automatic Number Plate Recognition (ANPR) system using YOLOv8, EasyOCR, OpenCV, CustomTkinter and SQLite.
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