REAL TIME MONITORING OF WOMAN SAFETY WITH LOCATION TRACKING SYSTEM

Authors:

Sharvani Yedulapuram,Rajeshwarrao Arabelli, K. Ravi kiran,Kanegonda Ravi Chythanya,

DOI NO:

https://doi.org/10.26782/jmcms.2020.08.00012

Keywords:

Raspberry Pi,Embedded System,Pi camera, Image Capture,Video Streaming,

Abstract

According to the organizations like NCRB-social government and the reports of WHO, 35% women are subjected to physical harassment, abuse and violence that occur even in public places such as cabs, hospitals, public transport, public parks, in and around schools, railway-bus stands, foot paths, and worse in the very own neighbors. Changing dynamics of working environment also forces many to work in night shifts which make them to move out in vulnerable timings. In India, according to amendment to the Factories Act 1948, it was allowed under the law for women to work night shifts which enabled many women to work through shifts but also put them in risk. Most of the women are working in nightshiftsimply there is an increase in their productivity, quality and international competitiveness because of which many women tend to work nowadays and support their families. Companies always provide necessary security measures in place to ensure women safety, yet in several situations incidents happened to prove the vulnerability of them due to several attributes. Research works were being undertaken to device strategies, protocols, policies to protect women workforce from being vulnerable.

 

In this paper an attempt is made to make a device for the women security where the device provides the safety measure in public places, public transports such as cabs, schools, buses and company vehicle etc. We propose an advanced model, which aims to provide a safe environment for women in the society through live video streaming by embedding sensors with a processor chip. The core of the entire system is raspberry pi, Pi Camera which is used for video data which will be collected by the embedded system and sent to the cloud by wireless network. Through this device a live video camera is implemented in the device which feds the live video through a GPS module that can be used to trace the whereabouts and the issues a woman may face which can be used to rescue under distress situation.

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