There are 1 repository under numberplatedetection topic.
A streamlit based implementation of Automatic Number Plate Recognition for cars and other vehicles using images or live camera feed
An android example application for automatic number plate recognition (ANPR) powered by platerecognizer.com API
Recognize cars using Haar cascade and OpenCV
đźš— | Korean License Plate Generator with YOLO format labels
created number plate detection using Yolov8 model and able to detect vehicle plate number
A program that manages the entry of vehicles in a building/society.
Number plate detection using yolo3 and Flask api
A Smart Vehicle WrongWay Detection and Tracking using YOLOV8 and Sort Algo
Guide for setting up a virtual environment and kernel for Python image processing. Practical exercises cover face recognition, shapes detection, vehicle identification, face detection, and vehicle number plate detection in a Jupiter Notebook. Purpose: Hands-on experience with essential computer vision techniques.
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 .
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.
Computer vision based model which performs number/licence plate recognition and data extraction using Opencv easyocr technique
Numberplate recognition using Python, OpenCV
Detecting Vehicle Number from the Number Plate of a Car.
It is a project to recognize license plates
Works very fine and accurate on the good quality image. It uses Tesseract and OpenCV.
Python-based Number Plate Detection System: Automates vehicle license plate identification using computer vision. Efficiently detects, localizes, and recognizes plates for applications like toll collection and security surveillance. Utilizes OpenCV and Numpy.
HTML Numberplate editor. Click numberplate to edit. Use this to print custom numberplates to test with numberplate scanner OCR camera.