This paper is published in Volume-7, Issue-5, 2021
Area
Computer Science
Author
Saravanan T., Swetha S., Sowmiya S., Sindhu N. R., Sneha T., Rithika S.
Org/Univ
Bannari Amman Institute of Technology, Sathyamangalam, Tamil Nadu, India
Keywords
Accident Detection, Vehicle Accident Alert System, Location Tracking, Smartphone, Medical Assistance, Sensors Software
Citations
IEEE
Saravanan T., Swetha S., Sowmiya S., Sindhu N. R., Sneha T., Rithika S.. Intelligent Accident Detection and Alert System, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Saravanan T., Swetha S., Sowmiya S., Sindhu N. R., Sneha T., Rithika S. (2021). Intelligent Accident Detection and Alert System. International Journal of Advance Research, Ideas and Innovations in Technology, 7(5) www.IJARIIT.com.
MLA
Saravanan T., Swetha S., Sowmiya S., Sindhu N. R., Sneha T., Rithika S.. "Intelligent Accident Detection and Alert System." International Journal of Advance Research, Ideas and Innovations in Technology 7.5 (2021). www.IJARIIT.com.
Saravanan T., Swetha S., Sowmiya S., Sindhu N. R., Sneha T., Rithika S.. Intelligent Accident Detection and Alert System, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Saravanan T., Swetha S., Sowmiya S., Sindhu N. R., Sneha T., Rithika S. (2021). Intelligent Accident Detection and Alert System. International Journal of Advance Research, Ideas and Innovations in Technology, 7(5) www.IJARIIT.com.
MLA
Saravanan T., Swetha S., Sowmiya S., Sindhu N. R., Sneha T., Rithika S.. "Intelligent Accident Detection and Alert System." International Journal of Advance Research, Ideas and Innovations in Technology 7.5 (2021). www.IJARIIT.com.
Abstract
Road accidents rates are very high nowadays due to various factors. Timely medical aid can help in saving lives. Traffic congestion, lack of ambulance services, no network connectivity are the major elements that delay the provision of medical help. An automated response system is required to resolve these factors. For building such automated systems smartphones with their in-built sensors are excellent platforms. In this paper, we introduce the ADAS (Advanced driver-assistance systems) which will reduce the time gap and ensure medical assistance immediately. The server and the ADAS software are the two main components of this system. In this ADAS client system, the location can be identified with the support of in-built sensors in the Smartphone and it will alert the nearest medical assistance provider, which will enable the team to arrive at the accident site on time. The action time and the death tolls can be decreased with the help of this ADAS system.