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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM39708
Volume:
8 |
12 |
Dec 2024
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.
In an increasingly digital world, safety remains a critical concern, especially for vulnerable populations such as women, children, and the elderly. This research presents an advanced IoT-based smart wearable safety device integrating artificial intelligence (AI) and blockchain technologies to enhance personal security. The system incorporates sensors for monitoring physiological and environmental parameters, a GPS module for real-time location tracking, and a high-frequency alarm. Blockchain ensures secure data transmission and tamper-proof records, while AI enhances threat detection through sentiment analysis and machine learning-based pattern recognition. Experimental results demonstrate an accuracy of 96.8%, a sensitivity of 94.3%, and a robust safety response mechanism. The proposed solution offers scalable, energy-efficient, and cost-effective protection, setting a benchmark for IoT-based safety systems.
KEYWORDS
Publication Date
12/14/2024
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.
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