Abstract: This research paper showcases a leading-edge Automatic Vehicle Number Plate Recognition (ANPR) system that capitalizes the potential of YOLOv8 (You Only Look Once) and Convolutional Neural ...

Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...

ABSTRACT: A nation’s development depends in part on the quality of its road network. To this end, resources are being deployed to monitor the surface condition of our roads. Applying deep learning to ...

ABSTRACT: Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle ...

This project is a Flask web application that integrates AI-based number plate detection with a database-driven vehicle management system. It allows users to register vehicles, manage balances, and ...

Abstract: Object detection is a very sophisticated technology to work on nowadays. In this study, we specifically focused on solving the problem of license plate detection and license plate class ...

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