Unlocking the Road Ahead: The Ultimate License Plate Scanner Project with Haar-Cascade Technology!

Seamlessly Track and Manage License Plates with AI Detection and Home Integration

Object & Vehicle Number Plate Segmentation with Web-UI

A Parallelized Number Plate Detection System developed for Windows using Visual Studio. It utilizes OpenCV and OpenMP to efficiently detect number plates in images and recognize characters on them. The primary goal of this system is to speed up the process of detecting and recognizing number plates in images or video frames.

A fast automatic number-plate recognition (ANPR) library

Simple Number Plate Recognition with Optical Character Recognition using xml model

benchmark of object detection algorithms for license plate detection

An Advance Number Plate Recognition System.

This application will be capable of reading vehicle number plates. It will detect the numberplate on a vehicle with a camera, separate out the number-plate and convert the image into a text string.

Number plate detection using OpenCV and Python.

Scan, Park and Go

Automatic Nepali Number Plate Recognition with Sms Reporting System x Real Time Machine Learning Approach on Traffic Congestion Prediction System in Internet of Vehicles

ANPR Automatic Number-Plate Recognition with YOLOX object detection and Deepsort object tracking using Tesseract OCR

Some project with python

Number plate recognition system with python open cv

Research about Different Deep learning models for ANPR (Automatic number-plate recognition) for Indian Number-Plate Fonts. Includes Training and Testing of CNN models like VGG-9 , MobileNetV2 and Le-Net .

Automatic Number Plate Recognition (ANPR).

This repository contains a comprehensive implementation for detecting and recognizing license plates in images using computer vision techniques. The project leverages OpenCV for image processing and EasyOCR for optical character recognition (OCR). Below is a detailed description of the repository's contents and its functionality.