A Robust Development of IoT Powered Smart Women Tracking System to Protect from Harrasments Using Artificial Intelligence

This paper presents the development of an IoT-powered smart women tracking system designed to enhance personal safety by leveraging artificial intelligence (AI) for real-time monitoring and emergency response. The system integrates a GPS module, GSM module, multiple sensors (heartbeat, temperature, and GSR), and emergency activation mechanisms, including an SOS button, voice activation, and fingerprint sensor. Field testing showed an average response time of 6.5 seconds across various scenarios, with the SOS button providing the fastest response at 5 seconds. GPS accuracy varied based on location, with an average deviation of 5 meters in urban areas and up to 20 meters in rural or underground environments. The system achieved a 92% success rate for GPS updates in optimal conditions, though this dropped to 70% in challenging conditions such as underground stations. Power consumption was optimized, allowing the device to last several hours in active mode. User feedback rated the system highly for ease of use, with an overall satisfaction rate of 90%, particularly for the SOS button and electric shock unit. While the system performed well, further improvements in voice recognition and GPS accuracy are needed. This research demonstrates the potential of IoT and AI in enhancing personal security, particularly for vulnerable groups like women.

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Publication Details

Published
2024-12-12
DOI
https://doi.org/10.1109/icses63760.2024.10910582
Citations
13
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
2.76
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article

A Robust Development of IoT Powered Smart Women Tracking System to Protect from Harrasments Using Artificial Intelligence

V. S. Prasad, G. Ramkumar, Ayman Amer, B S Sunitha et al.
13 citations
IoT and GPS-based Vehicle Safety Systems
2.76
article

A Robust Development of IoT Powered Smart Women Tracking System to Protect from Harrasments Using Artificial Intelligence

V. S. Prasad, G. Ramkumar, Ayman Amer, B S Sunitha, V. Lavanya, G. R.
article en
13 citations

Abstract

This paper presents the development of an IoT-powered smart women tracking system designed to enhance personal safety by leveraging artificial intelligence (AI) for real-time monitoring and emergency response. The system integrates a GPS module, GSM module, multiple sensors (heartbeat, temperature, and GSR), and emergency activation mechanisms, including an SOS button, voice activation, and fingerprint sensor. Field testing showed an average response time of 6.5 seconds across various scenarios, with the SOS button providing the fastest response at 5 seconds. GPS accuracy varied based on location, with an average deviation of 5 meters in urban areas and up to 20 meters in rural or underground environments. The system achieved a 92% success rate for GPS updates in optimal conditions, though this dropped to 70% in challenging conditions such as underground stations. Power consumption was optimized, allowing the device to last several hours in active mode. User feedback rated the system highly for ease of use, with an overall satisfaction rate of 90%, particularly for the SOS button and electric shock unit. While the system performed well, further improvements in voice recognition and GPS accuracy are needed. This research demonstrates the potential of IoT and AI in enhancing personal security, particularly for vulnerable groups like women.

Zarqa University (JO), Saveetha University (IN)
Gender equality
Openalex Percentile: Top 9%
IoT and GPS-based Vehicle Safety Systems
2.76
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