Loading

Smart Wrist Band for Women Security using Logistic Regression Technique
Avantika Bhate1, Parveen Sultana H2
1Avantika Bhate, SCOPE, Vellore Institute of Technology, Vellore, Tamil Nadu-632014, India.
2Parveen Sultana H, SCOPE, Vellore Institute of Technology, Vellore, Tamil Nadu-632014, India.

Manuscript received on 14 April 2019 | Revised Manuscript received on 19 May 2019 | Manuscript published on 30 May 2019 | PP: 2215-2218 | Volume-8 Issue-1, May 2019 | Retrieval Number: A2161058119 /19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Women is an inside society part and her security is the essential and to a great degree critical concern for the society, in present years many cases has been reported against women harassment. The only question arises is will they be able to move free on the road without having any worry about their safety. In this situation the main purpose is to design a system which will provide security to women from issues of women harassment. This paper serves a purpose which will provide security to women, it consists of IOT based smart band which is implemented using machine learning techniques. The device consists of sensors and GPS module which is integrated with Arduino UNO board. In this the GPS module will send notification to the family member about the current location of the victim which will provide more security to the women.
Index Terms: Sensors, GPS, GSM, Mobile Application, Machine Learning.

Scope of the Article: Machine Learning