numberplatedetection

CampusCar provides automated vehicle entry system for any campus/institute or any buildings/socities to automate the process and help maintain records,logs,vehicles etc.

A streamlit based implementation of Automatic Number Plate Recognition for cars and other vehicles using images or live camera feed

MareArts' ANPR solution offers fast and accurate vehicle identification with seamless system integration.

Character Recognition Of Plates using yolov5

An android example application for automatic number plate recognition (ANPR) powered by platerecognizer.com API

Recognize cars using Haar cascade and OpenCV

created number plate detection using Yolov8 model and able to detect vehicle plate number

🚗 | Korean License Plate Generator with YOLO format labels

A program that manages the entry of vehicles in a building/society.

Lightweight & fast OCR-SR model for license plate text recognition.

Number plate recognition system using openCV

Number plate detection using yolo3 and Flask api

Detecting Vehicle Number from the Number Plate of a Car.

Numberplate recognition using Python, OpenCV

A Smart Vehicle WrongWay Detection and Tracking using YOLOV8 and Sort Algo

It is a project to recognize license plates

it is a Image Processing project which is used to detect vehicle number plate using Rasoberry pi 3.In this project Detecting vehicle number plates is a complex task that typically involves multiple steps, including object detection to locate the vehicles, and then text recognition to extract the characters from the number plate.

This repository contains Python scripts for detecting and recognizing number plates using Support Vector Machines (SVM) and Block Binary Pixel Sum descriptors.

Computer vision based model which performs number/licence plate recognition and data extraction using Opencv easyocr technique

TRaiFIC is an Automatic Number Plate Recognition (ANPR) system designed specifically for Nepali license plates. The system utilizes multiple machine learning models in a pipeline architecture to detect license plates, segment characters, and perform optical character recognition.