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IoT based Accident Detection and Response Time Optimization
- Source :
- 2021 5th International Conference on Computing Methodologies and Communication (ICCMC).
- Publication Year :
- 2021
- Publisher :
- IEEE, 2021.
-
Abstract
- In this digital era, technology has made its mark in almost every field. With the invention of prosthetic limbs and artificial organs among others have given people a better opportunity. The urbanization also has its downfalls. Traffic accidents can be considered as one. The initial stage treatment to a patient is very critical. The first hour is referred as the Golden Hour for this reason. Especially in the case of accidents the golden hour becomes very important. As per the Report on Road accidents in India 2019, the accident related deaths in India in 2019 were 1,51,113 in number [1]. The average time for an ambulance to reach hospital is going up each year due to increasing. So, it is imperative to find the possible ways to reduce the time. To achieve this, various measures are explored. In rescue times of greater than a half-hour, in half of the cases at least 21 min was required to communicate a need for an ambulance. [2] This article aims to reduce the time taken for the information to reach the ambulance services through a model which detects accidents and informs the ambulance service of the location of accidents.
- Subjects :
- business.industry
Digital era
Computer science
020208 electrical & electronic engineering
010401 analytical chemistry
Prosthetic limb
Response time
02 engineering and technology
01 natural sciences
0104 chemical sciences
Accident (fallacy)
0202 electrical engineering, electronic engineering, information engineering
Ambulance service
Golden hour (medicine)
Operations management
Internet of Things
business
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2021 5th International Conference on Computing Methodologies and Communication (ICCMC)
- Accession number :
- edsair.doi...........1e1466ff18b71910aa3aee198c2e5956
- Full Text :
- https://doi.org/10.1109/iccmc51019.2021.9418272