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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM26877

WOMEN SAFETY SYSTEM USING RASPBERRY PI

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM26877

Volume:

7 |

11 |

Nov 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

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

AB

Aishwarya Bagal

SD

Sachin Dhokale

PD

Prajakta Dandawade

SP

Shravani Padole

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Abstract

– Security has emerged as a critical issue for women, children, and the elderly across various facets of life. Women encounter threats such as assaults and harassment, children are vulnerable to abduction, and senior citizens frequently face challenges like theft. In response to these pressing concerns, this study introduces a smart wearable device system utilizing Raspberry Pi 3 to bolster safety and security. The system combines a security feature with an alert mechanism, promptly notifying individuals in proximity through a buzzer alarm when activated. Furthermore, it incorporates a Support Vector Machine (SVM)-based model for surveillance, offering an effective strategy to address diverse societal challenges. The technology leverages the Global Positioning System (GPS) for user location tracking and the Global System for Mobile Communication (GSM) to dispatch alerts via SMS to emergency contacts and law enforcement agencies. Additionally, it utilizes General Packet Radio Service (GPRS) for data transmission. When the user activates the panic button on the wearable device, a USB web camera captures images of the assailant and the surrounding environment. These images, along with the user’s location, are then emailed to emergency contacts.

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Cite This Article

Aishwarya Bagal, Sachin Dhokale, Prajakta Dandawade, Shravani Padole, "WOMEN SAFETY SYSTEM USING RASPBERRY PI," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 11, Nov 2023. https://doi.org/10.55041/IJSREM26877

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Publication Date

6/2/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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2

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5

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Conflict of Interest

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

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No funding information available for this research.

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