Year: 2025
Type: article
Abstract: - Road accidents have emerged as a critical global concern, resulting in significant loss of life, injuries, and property damage. Timely detection and response to such incidents can significantly reduce fatalities and improve emergency services. In this research, we propose an intelligent road accident detection system utilizing Artificial Intelligence (AI) and Machine Learning (ML) approaches. The system employs advanced computer vision techniques integrated with real-time video surveillance for accurate accident detection. Deep Learning models, particularly Convolutional Neural Networks (CNN), are used for object detection, motion analysis, and abnormal behavior identification on roads. This paper presents a detailed methodology, a literature review of existing systems, and a proposed architecture for efficient accident detection and notification systems. The findings suggest that AI-driven solutions can revolutionize road safety management systems. Keywords- Road Accident Detection, Artificial Intelligence, Machine Learning, Deep Learning, Convolutional Neural Network, Real-time Monitoring, Smart Transportation.
DOI: 10.55041/ijsrem48619
Author: Aryan Salunke
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4410731675