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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM26877
Volume:
7 |
11 |
Nov 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
– 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.
KEYWORDS
Publication Date
6/2/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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