Convolutional Neural Networks (CNN)-based Vehicle Crash Detection and Alert System

M Jayashree, P Rachana, A Kunjumon… - … on Intelligent Data …, 2023 - ieeexplore.ieee.org
Nowadays when a accident occurs people are afraid or create a major chaos while
informing the emergency services, or a accident gets unnoticed and eventually when the …

Deep Learning-Based Approach for Real-Time Traffic Signal Optimization and Vehicle Surveillance

WDA Gunathilake, SH Kalansooriya… - … on Advancements in …, 2023 - ieeexplore.ieee.org
Traffic congestion is a significant problem in Sri Lanka, especially in urban areas. This
research paper presents a traffic optimization system with emergency vehicle prioritization …

Automatic vehicle accident detection and alert system

A Kunjumon, M Thamban, A Roy - AIP Conference Proceedings, 2024 - pubs.aip.org
Detecting Accidents using proven Convolutional Neural Networks Technology based
machine learning models making use of Operational and in-use closed-circuit television …

Implementation of Accident Detection and Reporting System Using IOT

R Mohandas, A Vh, S Anusha… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
The extension of transportation networks has sped up the speed of our lives. Car crashes
cause a significant measure of death, property harm, and inestimable time, which is a …

[引用][C] Experimental Evaluation Of Machine Learning Based Accident Detection Scheme Using Weather Data Analysis

K Vanitha, D Kumar, M Boopathi, A Anandh - Advances in Science and …, 2024 - astrj.co
In the present machinery world, one of the biggest causes of mortality, as well as the rest of
the globe, is vehicle accidents. This is possible to anticipate the frequency of road crashes …