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Accident Detection and Smart Rescue with Real Time Location using Image Processing

Asadullah Shaikh1 , Zainab Gangerdiwala2 , Sarah Shaikh3 , Husain Kothari4

Section:Survey Paper, Product Type: Journal Paper
Volume-7 , Issue-2 , Page no. 697-700, Feb-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i2.697700

Online published on Feb 28, 2019

Copyright © Asadullah Shaikh, Zainab Gangerdiwala, Sarah Shaikh, Husain Kothari . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Asadullah Shaikh, Zainab Gangerdiwala, Sarah Shaikh, Husain Kothari, “Accident Detection and Smart Rescue with Real Time Location using Image Processing,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.697-700, 2019.

MLA Style Citation: Asadullah Shaikh, Zainab Gangerdiwala, Sarah Shaikh, Husain Kothari "Accident Detection and Smart Rescue with Real Time Location using Image Processing." International Journal of Computer Sciences and Engineering 7.2 (2019): 697-700.

APA Style Citation: Asadullah Shaikh, Zainab Gangerdiwala, Sarah Shaikh, Husain Kothari, (2019). Accident Detection and Smart Rescue with Real Time Location using Image Processing. International Journal of Computer Sciences and Engineering, 7(2), 697-700.

BibTex Style Citation:
@article{Shaikh_2019,
author = {Asadullah Shaikh, Zainab Gangerdiwala, Sarah Shaikh, Husain Kothari},
title = {Accident Detection and Smart Rescue with Real Time Location using Image Processing},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2019},
volume = {7},
Issue = {2},
month = {2},
year = {2019},
issn = {2347-2693},
pages = {697-700},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3728},
doi = {https://doi.org/10.26438/ijcse/v7i2.697700}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i2.697700}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3728
TI - Accident Detection and Smart Rescue with Real Time Location using Image Processing
T2 - International Journal of Computer Sciences and Engineering
AU - Asadullah Shaikh, Zainab Gangerdiwala, Sarah Shaikh, Husain Kothari
PY - 2019
DA - 2019/02/28
PB - IJCSE, Indore, INDIA
SP - 697-700
IS - 2
VL - 7
SN - 2347-2693
ER -

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Abstract

Accidental detection rescue system is an application intended for the use of providing assistance to the victim in case of emergency. The credibility and accessibility of this application is designed in accordance with the existing systems and improved with enhanced features and technology. With an application detecting the location of the accident and image processing classifying it as accidental or fake image the application is built to provide assistance to the end user in a systematic manner. The proposed system i.e. the Accident Detection and Rescue System (ADRS) consists of two phases; the detection phase which is used to detect type of accident based on the image captured and the notification phase, immediately after an accident has occurred, is used to send detailed information such as images, accident location, date and time of accident, etc to the emergency responder for fast recovery. ADRS will ensure that the victim of the accident is rescued within an hour of accident which is also known as Golden Hour. Malicious use of the application will be prohibited and it will be available to all users at any particular instance of time

Key-Words / Index Term

Golden Hour Response, Medical Assistance, Real time location, Broadcasting, Geo-Fencing, Image Processing

References

[1] IJCSMC, Vol. 4, Issue. 4, April 2015, pg.620 – 635, “Car Accident Detection and Notification System Using Smartphone”, Hamid M. Ali, Zainab S. Alwan.
[2] IATSS , Vol 32, Issue 2, 2018, pg 58-67, “Identification of factors in road accidents through in-depth accident analysis”, Mouyid BIN ISLAM, Kunnawee Kanitpong.
[3] International Journal of Scientific & Engineering Research, Volume 4, Issue 8, August-2013, “Improving Railway Safety with Obstacle Detection and Tracking System using GPS-GSM Model”, Nisha S.Punekar , Archana A. Raut.
[4] Special Issue Published in International Journal of Trend in Research and Development, ISSN: 2394-9333, “Embedded Based Train Accident Prevention System”, T.Sivaranjani, R.Dhivya, S.Indhumati, K.Ramesh Aravind and P.Sethuraman.
[5] IOSR Journal of Environmental Science, Toxicology and Food Technology (IOSR-JESTFT) e-ISSN: 2319-2402,p- ISSN: 2319-2399.Volume 10, Issue 10 Ver. I (Oct. 2016), PP 75-86, “GPS & GIS In Road Accident Mapping And Emergency Response Management”, Evangeline Muthoni Njeru, Andrew Imwati.
[6]Jun Okamoto Jr., Alexander Csóka Roque, Fabricio Schiavo, Bruno Massoni Sguerra, Bruno Alan Miyamoto, Filipe Assis Mourão, Thiago Yukio Alves, Andressa de Paula Suiti Escola Politécnica of the University of São Paulo, Brazil, “Addressing the Golden Hour: A machine learning approach to improve emergency response time”
[7]Location Detection using GPS: https://www.instructables.com/id/Track-your-location-without-using-GPS-using-LAC-a/
[8]Image Processing:https://medium.com/@qhutch/android-simple-and-fast-image-processing-with-renderscript-2fa8316273e1
[9]Nearby Resources: https://www.androidtutorialpoint.com/intermediate/google-maps-search-nearby-displaying-nearby-places-using-google-places-api-google-maps-api-v2/
[10]Golden Hour Response:https://www.thedailystar.net/opinion/golden-hour-the-lives-accident-victims-146517