i-manager Publications

Accident Finding and Location Identification System Using Google Map

Ramachandran G*, R. Ramani**, S. Selvaraju***, B. Rajasekaran****, P.M. Murali*****

*-**-***-****-***** Department of Electronics & Communication Engineering, V.M.K.V Engineering College, Salem, TamilNadu, India.

Periodicity:March - May'2013
DOI : https://doi.org/10.26634/jele.3.3.2257

Abstract

The wireless black box using MEMS accelerometer and GPS tracking system is developed for accidental monitoring. This system consists of various components, such as accelerometer, microcontroller unit, GPS and GSM module. If accident occurred in any place, the wireless sensor device will send SMS to family members, emergency medical service (EMS), correctionalternate"the nearest hospital with accident place using GPS system and Google map.The threshold algorithm and speed of motorcycle used to determine fall or accident in real-time process. This system is compact and easy to install. The system is compact and easy to install. This system tested in real time applications. The test results show that it can detect to whether the normal ride or not with high accuracy.

Keywords

EMS GPS,GSM,SMS.

How to Cite this Article?

Ramachandran, G., Ramani, R., Selvaraju, S., Rajasekaran, B., and Murali, P.M. (2013). Accident Finding and Location Identification System Using Google Map. i-manager’s Journal on Electronics Engineering, 3(3), 32-37. https://doi.org/10.26634/jele.3.3.2257

References

[1]. Asaad M. J. Al-Hindawi, Ibraheem Talib, (2012). “Experimentally Evaluation of GPS/GSM Based System Design”, Journal of Electronic Systems, Volume 2 Number 2, June 2012.

[2]. Kunal Maurya , Mandeep Singh , Neelu Jain. “Real Time Vehicle Tracking System using GSM and GPS Technology- An Anti-theft Tracking System,” International Journal of Electronics and Computer Science Engineering. ISSN 2277-1956/V1N3-1103-1107.

[3]. Vikram Kulkarni & Viswaprakash Babu. “Embedded smart car security system on face detection”, Special issue of IJCCT, ISSN (Online): 2231-0371, ISSN( Print): 0975-7449, Volume-3, issue-1.

[4]. V. Ramya, B. Palaniappan, K. Karthick, (2012). “Embedded Controller for Vehicle In-Front Obstacle Detection and Cabin Safety Alert System”, International Journal of Computer Science & Information Technology (IJCSIT), Vol 4, No 2, April 2012.

[5]. Kai-Tai Song, Chih-Chieh Yang, (2005). of National Chiao Tung University, Taiwan, “Front Vehicle Tracking Using Scene Analysis”, Proceedings of the IEEE International Conference on Mechatronics & Automation, 2005.

[6]. Chen Peijiang, Jiang Xuehua, (2008). “Design and Implementation of Remote monitoring system based on GSM,” Vol.42, pp.167-175. 2008.

[7]. Albert Alexe, R. Ezhilarasie, (2011). “Cloud Computing Based Vehicle Tracking Information Systems”, ISSN: 2229 - 4333 (Print) ISSN: 0976 - 8491 (Online) IJCST, Vol. 2, Issue 1, March 2011.

[8]. R. Ramani, S. Valarmathy, Dr. N. Suthanthira Vanitha, S. Selvaraju, M. Thirupathi, R. Thangam, (2013). “Vehicle Tracking and Locking System Based on GSM and GPS”, I.J. Intelligent Systems and Applications (IJISA), 2013, 09, 86-93 Published Online August 2013 in MECS, DOI: 10.5815/ijisa.2013.09.10.

[9]. R. Ramani, S. Selvaraju, S. Valarmathy, R. Thangam B. Rajasekaran, (2012). “Water-level monitor for bore well and water tank based on GSM”, International Journal of Engineering Science and Technology (IJEST), ISSN: 0975-5462, Volume 4, N0:10,October 2012.

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Accident Finding and Location Identification System Using Google Map

Abstract

Keywords

How to Cite this Article?

References

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