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IJETCAS13 644

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IJETCAS13 644
International Association of Scientific Innovation and Research (IASIR)
(An Association Unifying the Sciences, Engineering, and Applied Research)

ISSN (Print): 2279-0047
ISSN (Online): 2279-0055

International Journal of Emerging Technologies in Computational and Applied Sciences (IJETCAS) www.iasir.net ACCIDENT DETECTION SYSTEM APPLICATION
Akshay Agrawal1, Anand Khinvasara2, Mitali Bhokare3, Sumit Kaulkar4, Prof. Y. K. Sharma5
Department of Computer Science,
Vishwakarma Institute of Information Technology,
Pune, India

______________________________________________________________
Abstract: Accidents are one of the leading causes of fatalities around the world. An important indicator of survival rates after an accident is the time between the accident and when emergency medical personnel are dispatched to the scene. To eliminate the delay between accident occurrence and first responder dispatch is to use in-vehicle automatic accident detection and notification systems; we propose to develop an android application which will detect the occurrence of accident through android phone which is kept at the deck of the car. The android phone has inbuilt sensors such as accelerometer, rotational sensors etc. whose values will be analyzed for accident detection. Once accident is detected, the application will capture images from the front and rear camera of Android phone & GPS location will be recorded. This data will be combined in SMS and
MMS and sent to pre-stored contacts which will inform authorities about accident. Moreover, different cars will have different accident detection threshold values we propose to develop an Adaptive Algorithm to detect accident in for different cars. This paper presents related work carried out in this domain and analgises tools require for the idea to be successful. It also describes the proposed idea.
Index Terms: Accelerometer, accident, Adaptive Algorithm, Android, GPS, MMS, Sensors, SMS.



References: [7] Yue Shi, Yuanchun Shi, Xia Wang, Fall Detection on Mobile Phones Using Features from A Five-phase Model , 2012 9th GPS Beginner`s Guide, Garmin LTD, 2008. F. Sposaro and G. Tyson, “iFall: An Android Application for Fall Monitoring and Response,” Proc. Engineering in Medicine and Biology Society (EMBC2009), pp.6119–6122.

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