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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM56030

An IOT-Based Safety and Tracking System for Women

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM56030

Volume:

10 |

1 |

Jan 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM56030

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AP

Aaditya Pandey1

DSH

Dr.Malatesh S H2

AR

Ayush Rai3

AAN

Ayub Ansari N4

SA

Sarique Ahmad5

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Abstract

Women’s safety remains of paramount importance against the backdrop of rising incidents of harassment and violence. An attempt has been made to develop an IoT-Based Safety and Tracking System for Women, comprising a wearable smart device that is capable of detecting distress and sending emergency alerts automatically. It comprises sensors, namely heartbeat, inclinometer, microphone, and biometric modules, that detect abnormalities in physiological or movement patterns indicating threat situations. GPS and GSM/Wi-Fi modules enable location tracking in real time and wirelessly send alerts to emergency contacts or authorities instantly. A panic button, buzzer, and shock mechanism provide instant self-defense and draw public attention. Machine learning–based anomaly detection ensures that the proposed system achieves higher accuracy in recognizing threats. The device is small in size and power-efficient, intended for everyday wearable use, thus ensuring speedy assistance even when one is in a situation whereby manual handling of the mobile phone is not possible. This type of wearable device provides an active, trustworthy, and hands-free safety solution by empowering women and quickening the pace of emergency response.

KEYWORDS

IoT Women Safety Smart Wearable Device GPS Tracking GSM Module Emergency Alert System Machine Learning Sensors Distress Detection Real-Time Monitoring.

Cite This Article

Aaditya Pandey1, Dr.Malatesh S H2, Ayush Rai3, Ayub Ansari N4, Sarique Ahmad5, "An IOT-Based Safety and Tracking System for Women," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 1, Jan 2026. https://doi.org/10.55041/IJSREM56030

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Publication Date

1/14/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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