Accident Detection and Ambulance Dispatch

Day by day accident rates are increasing and delay in emergency service is the cause of death. This delay is involved in each stage whether it is reporting of accident or dispatching an ambulance. We propose a complete solution to both accident detection and ambulance dispatch system. When any video

Project Title

Accident Detection and Ambulance Dispatch

Project Area of Specialization

Computer Science

Project Summary

Day by day accident rates are increasing and delay in emergency service is the cause of death. This delay is involved in each stage whether it is reporting of accident or dispatching an ambulance. We propose a complete solution to both accident detection and ambulance dispatch system. When any video is given to our model, it will detect if there is any accident or not and if it finds any accident it will send that accident frames to the mobile application (Ambulance System). The driver will see if there is a need of an ambulance, if there is any, he will click on Map button and map will give live location through Google API. Then the ambulance driver will send an alert to the nearest hospital.

Project Objectives

The objectives of this project are to help people and provide them services immediately. This project will be contributed to the ones who need the ambulance service urgently or they are in some kind of emergency.

Project Implementation Method

Our project is divided into two parts, first part is trained model in which we will test our accident videos and the second part is an Ambulance System application. We have trained our model on various accidents and when we test our model on any accident-based videos, the accident frames will be sent to an Ambulance System which will be given to the ambulance driver. Then the ambulance driver will send an alert to nearest hospital. The service we used for training our model is YOLOv5 and in our application we have used google map API for live location and whenever driver proceed the accident case, live location will be started.

Benefits of the Project

The project significance is that it will solve many problems for its users and once it becomes a whole product, it will be a life savior product for the people. Our whole product is scalable and reliable and it will give accurate results.

Technical Details of Final Deliverable

In our project, we will be doing testing on recorded accident videos to detect accident and whenever accident is detected, frames will be sent to mobile application which user will have and he will take action on the basis of that accident frames. He will proceed if accident is dangerous otherwise will cancel it. When he will proceed, live location will be started and he will send an alert to the nearest hospital. In this way Black-box testing will work.

Technologies we used in our project is:

• Python (for training and testing of model)
• Flutter (Mobile Application for Ambulance System)
• Firebase (Database)
• Android (Operating System)

Final Deliverable of the Project

Software System

Core Industry

IT

Other Industries

Core Technology

Internet of Things (IoT)

Other Technologies

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com