C. Jenifer, R. Balaguru, Y. Syed Ahamad Abraar, A. Roshini, Department of Information Technology, SNS College of Engineering, Coimbatore, Tamilnadu, India.
DOI : 01.0401/ijaict.2016.11.10
International Journal of Advanced Information and Communication Technology
Received On : May 09, 2019
Revised On : June 15, 2019
Accepted On : July 10, 2019
Published On : August 05, 2019
Volume 06, Issue 08
Pages : 1117-1120
Abstract
The GloCal can achieve 30% improvement on GPS average accuracy, by displaying its promise in real-world workability. It uses a prototype system named Glocal in both crowded urban and spacious suburban areas. In this work the system is triggered for emergency medical condition with the help of Google maps for medical support. The application uses GPS and GIS jointly to fetch the nearby doctor’s exact location and hospitals. The system is focused on the time interval for recording location and notification without taking the personal data. In this application we design and yield a high accuracy global positioning solution based on GPS which provides the path for user and driver. To extend the usage of database (Aadhar- In future enhancement) in hospitals and to provide flexibility to the patients, thumb impression is used to retrieve basic information about the patients.
Keywords
GPS, GIS, GSM/GPRS,Emergency Android App, Google maps, Thumb Impression.
Cite this article
C. Jenifer, R. Balaguru, Y. Syed Ahamad Abraar, A. Roshini, “MATLAB based Feature Extraction and Clustering Images Using K-Nearest Neighbour Algorithm” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp.1117-1120, August 05, 2019.
Copyright
© 2019 C. Jenifer, R. Balaguru, Y. Syed Ahamad Abraar, A. Roshini. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.