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

Character Recognition Of Plates using yolov5

Recognize cars using Haar cascade and OpenCV

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

🚗 | Korean License Plate Generator with YOLO format labels

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

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

Number plate detection using yolo3 and Flask api

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

YOLOv5-based real-time end-to-end helmet compliance system for road and traffic violations, inclusive of motorcycle detection, helmetless rider identification, and automatic license plate recognition (ALPR) with OCR for ROI extraction.

Detecting Vehicle Number from the Number Plate of a Car.

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.

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

Numberplate recognition using Python, OpenCV

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 .

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.