Optimizing Medical Response Time through Deep Learning Based Accident Detection

Algorithms and automatic surveillance systems are increasingly being used in regulation enforcement across many countries. Unfortunately, this technological leap hasn’t yet benefited the safety of road users, resulting in many unnecessary casualties due to too long response time from medical services even in developed urban regions. We analyzed the different elements of what constitutes the time it takes to arrive on an accident location to reduce the delay using modern technology.Our tool, an easy-to-use website based on our own developped AI, provides a real-time traffic analysis from custom live footage with a very high rate of accident detection. On our test sets, the accident detection was close to 100% with some false positives. These preliminary results highlight the potential for the tool to hasten medical care response time and reduce the intervention time significantly, increasing the chances of survival of car accident victims.

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Publication Details

Published
2025-08-07
DOI
https://doi.org/10.1109/acdsa65407.2025.11166298
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
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article

Optimizing Medical Response Time through Deep Learning Based Accident Detection

Thomas M. Hemmerling, Sean Jeffries, Nicolas François, Franck Staudt et al.
IoT and GPS-based Vehicle Safety Systems
article

Optimizing Medical Response Time through Deep Learning Based Accident Detection

Thomas M. Hemmerling, Sean Jeffries, Nicolas François, Franck Staudt, Raphaël Olexa, Georgiy Danylenko
article en

Abstract

Algorithms and automatic surveillance systems are increasingly being used in regulation enforcement across many countries. Unfortunately, this technological leap hasn’t yet benefited the safety of road users, resulting in many unnecessary casualties due to too long response time from medical services even in developed urban regions. We analyzed the different elements of what constitutes the time it takes to arrive on an accident location to reduce the delay using modern technology.Our tool, an easy-to-use website based on our own developped AI, provides a real-time traffic analysis from custom live footage with a very high rate of accident detection. On our test sets, the accident detection was close to 100% with some false positives. These preliminary results highlight the potential for the tool to hasten medical care response time and reduce the intervention time significantly, increasing the chances of survival of car accident victims.

Xerox (France) (FR), Université franco-allemande (DE), McGill University (CA)
Openalex Percentile: Top 73%
IoT and GPS-based Vehicle Safety Systems
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Optimizing Medical Response Time through Deep Learning Based Accident Detection — Thomas M. Hemmerling, Sean Jeffries, et al. · (2025) | TGRS Research Map | TGRS