Automatic Vehicle Defect Detection App: AI-Powered Servicing Prioritisation

Abstract

This research paper introduces an AI-powered Automatic Vehicle Defect Detection App designed to identify potential vehicle defects before servicing. Traditional inspection methods are often time-consuming and prone to human error. Leveraging machine learning algorithms for this app streamlines inspections, enhances accuracy, and ensures timely defect detection. The paper outlines the app’s architecture, data collection, training, evaluation metrics, usability, efficiency, and impact on the automotive industry.