AcciRadar: Real Time Automatic Accident Detection and Reporting Framework

Every year, millions are injured or killed in road accidents, with a high economic and social cost to communities. Speeding, impaired driving (alcohol, drugs), distracted driving (texting, phone use), and adverse weather conditions significantly contribute to accidents. Accidents that occur in places with low population density, such as highways, can lead to loss of life due to the unavailability of emergency medical assistance and longer response times. Highways, where accidents often happen, now have more cameras. Therefore, utilizing these cameras can help automatically detect accidents. Thus, this proposal outlines a real-time automatic accident detection system using surveillance cameras and Convolutional Neural Networks (CNN) technology, combined with GPS for location tracking. The system would identify nearby hospitals and alert them via phone call and message, providing the accident location. This helps to save lives in danger and ensures that immediate medical care and treatment is provided to the injured person.

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Publication Details

Published
2025-04-16
DOI
https://doi.org/10.1109/iccct63501.2025.11019134
Citations
1
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
0.71
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article

AcciRadar: Real Time Automatic Accident Detection and Reporting Framework

S. Hemavathi, M. Fathima Mubarakkaa, V. Kavitha, Jayasinghe A.P. et al.
1 citations
IoT and GPS-based Vehicle Safety Systems
0.71
article

AcciRadar: Real Time Automatic Accident Detection and Reporting Framework

S. Hemavathi, M. Fathima Mubarakkaa, V. Kavitha, Jayasinghe A.P., M Aarthi, Katari Amrutha Varshini
article en
1 citations

Abstract

Every year, millions are injured or killed in road accidents, with a high economic and social cost to communities. Speeding, impaired driving (alcohol, drugs), distracted driving (texting, phone use), and adverse weather conditions significantly contribute to accidents. Accidents that occur in places with low population density, such as highways, can lead to loss of life due to the unavailability of emergency medical assistance and longer response times. Highways, where accidents often happen, now have more cameras. Therefore, utilizing these cameras can help automatically detect accidents. Thus, this proposal outlines a real-time automatic accident detection system using surveillance cameras and Convolutional Neural Networks (CNN) technology, combined with GPS for location tracking. The system would identify nearby hospitals and alert them via phone call and message, providing the accident location. This helps to save lives in danger and ensures that immediate medical care and treatment is provided to the injured person.

SRM Institute of Science and Technology (IN)
Openalex Percentile: Top 32%
IoT and GPS-based Vehicle Safety Systems
0.71
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AcciRadar: Real Time Automatic Accident Detection and Reporting Framework — S. Hemavathi, M. Fathima Mubarakkaa, et al. · (2025) | TGRS Research Map | TGRS