Enhancing Women's Security with Real-Time Monitoring

This project introduces an innovative solution aimed at improving women's safety through real-time monitoring, combining advanced technologies to offer thorough protection and emergency response. The system is based on an Arduino microcontroller that processes data from a range of sensors. The ESP32 camera enables live video streaming, allowing remote observation of the user's environment. MEMS and force sensors are designed to detect abnormal movements or potential dangers, such as sudden falls or physical force, activating emergency alerts when necessary. Voice recognition technology is integrated to interpret specific commands, sending automatic notifications to emergency contacts or authorities. Furthermore, the heartbeat sensor tracks the user's health, while the GPS module provides accurate location data for real-time tracking during emergencies. In urgent situations, a shock mechanism can be triggered for self-defense. A push button is included to manually activate an emergency alert, especially in case of system failure or when immediate action is needed. A relay controls power distribution to the system's components, while an LCD display and buzzer provide immediate feedback and alerts. The GSM module sends SMS alerts to emergency contacts.

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Publication Details

Published
2025-03-21
DOI
https://doi.org/10.1109/dicct64131.2025.10986390
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancing Women's Security with Real-Time Monitoring

Polapaka Hima Bindu, Vagolu Siva Krishna, M. Dharani, P. Adarsh et al.
IoT and GPS-based Vehicle Safety Systems
article

Enhancing Women's Security with Real-Time Monitoring

Polapaka Hima Bindu, Vagolu Siva Krishna, M. Dharani, P. Adarsh, P. Aparna, C. Chengamma
article en

Abstract

This project introduces an innovative solution aimed at improving women's safety through real-time monitoring, combining advanced technologies to offer thorough protection and emergency response. The system is based on an Arduino microcontroller that processes data from a range of sensors. The ESP32 camera enables live video streaming, allowing remote observation of the user's environment. MEMS and force sensors are designed to detect abnormal movements or potential dangers, such as sudden falls or physical force, activating emergency alerts when necessary. Voice recognition technology is integrated to interpret specific commands, sending automatic notifications to emergency contacts or authorities. Furthermore, the heartbeat sensor tracks the user's health, while the GPS module provides accurate location data for real-time tracking during emergencies. In urgent situations, a shock mechanism can be triggered for self-defense. A push button is included to manually activate an emergency alert, especially in case of system failure or when immediate action is needed. A relay controls power distribution to the system's components, while an LCD display and buzzer provide immediate feedback and alerts. The GSM module sends SMS alerts to emergency contacts.

Fakir Mohan University (IN)
Gender equality
Openalex Percentile: Top 90%
IoT and GPS-based Vehicle Safety Systems
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