Title: An IoT-based accident severity detection for automobiles with alerting the appropriate location of the accident - an innovative attempt

Authors: J. Anudeep; G. Kowshik; G.I. Aswath; Shriram K. Vasudevan

Addresses: Department of Electronics and Communication Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India ' Department of Electronics and Instrumentation Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India ' Department of Electrical and Electronics Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India ' K. Ramakrishnan College of Technology, Kariyamanikam Road, Samayapuram, Trichy – 621112, India

Abstract: Even though occupant protection systems are aiding the present means of transportation, the deaths on highways are not decreasing due to lack of medical attention and delay in medical help. For an instance consider a place on a long highway where there exists only one hospital and let us suppose that four to five accidents happened near the hospital. If the ambulance is sent to the nearest place where the severity of the accident is very low, the person with a big hit will succumb to death fast. So, to overcome this problem we introduce a system to measure and intimate the severity of the accident, location, time of the accident. This system mainly strives in decreasing the delay in time of arrival of medical services to the place of the accident and also helps the hospitals in deciding the right place for the medical services to be sent.

Keywords: severity level; GPS data; force sensitive resistor; FSR; collision; webpage.

DOI: 10.1504/IJAIP.2024.136786

International Journal of Advanced Intelligence Paradigms, 2024 Vol.27 No.1, pp.29 - 42

Received: 25 May 2018
Accepted: 03 Jun 2018
Published online: 22 Feb 2024 *

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