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This project utilizes machine learning to detect traffic rule violations i.e., helmet detection. It captures video feeds from traffic cameras, processes them to identify violations, and automates fine collection by notifying relevant authorities. The system aims to enhance road safety and streamline traffic management.
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.
Automatic Nepali Number Plate Recognition with Sms Reporting System x Real Time Machine Learning Approach on Traffic Congestion Prediction System in Internet of Vehicles
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.
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 .
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.