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