Ambulance Detection in Traffic and Alerting System through Deep Learning and IOT

Early Alert System It is an urgent need to use image processing to notify other drivers so that lives can bespared. For the simple reason that traffic congestion has been becoming worse over the past few years dueto the ever-increasing number of vehicles on the road. Countries like India and Japan are experiencingsevere traffic problems due to their expansive and lengthy highways, which make it impossible to carveout a special lane for emergency vehicles. Because of this, thousands of people have perished. Thesuggested system uses an artificial intelligence model called the MobileNet deep learning technique todetect when an ambulance or fire engine is approaching at specific intersections, allowing drivers of carsand other four-wheeler vehicles to get to them as quickly as possible. When emergency vehicles likeambulances and fire trucks are spotted, a digital board will show an alarm message at every intersection upahead.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-18
DOI
https://doi.org/10.5281/zenodo.15240907
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Ambulance Detection in Traffic and Alerting System through Deep Learning and IOT

Zenodo (CERN European Organization for Nuclear Research)
IoT and GPS-based Vehicle Safety Systems
article

Ambulance Detection in Traffic and Alerting System through Deep Learning and IOT

article en

Abstract

Early Alert System It is an urgent need to use image processing to notify other drivers so that lives can bespared. For the simple reason that traffic congestion has been becoming worse over the past few years dueto the ever-increasing number of vehicles on the road. Countries like India and Japan are experiencingsevere traffic problems due to their expansive and lengthy highways, which make it impossible to carveout a special lane for emergency vehicles. Because of this, thousands of people have perished. Thesuggested system uses an artificial intelligence model called the MobileNet deep learning technique todetect when an ambulance or fire engine is approaching at specific intersections, allowing drivers of carsand other four-wheeler vehicles to get to them as quickly as possible. When emergency vehicles likeambulances and fire trucks are spotted, a digital board will show an alarm message at every intersection upahead.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 56%
IoT and GPS-based Vehicle Safety Systems
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Ambulance Detection in Traffic and Alerting System through Deep Learning and IOT · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS