Smart Surveillance Systems with AI, ML, and IoT for Women’s Safety

Published 17 March 2026·28 views

Abstract

The safety of women in public and private spaces is an urgent global issue, as traditional surveillance systems often fall short of preventing or addressing threats effectively. Emerging technologies such as Artificial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT) have introduced transformative capabilities for real-time detection, behavioral analysis, and automated alerts. This paper surveys advancements in AI, ML, and IoT for surveillance systems, identifies gaps in current implementations, and proposes future research directions. It aims to establish a roadmap for developing ethical, scalable, and proactive solutions to enhance women’s safety.

Additional Details

Supervisor

Govind Chhimpa

Program

Mtech Computer science

License

CC BY 13

References (8)

[1]Smith et al., "Deep Learning for Video Analytics," IEEE Transactions on Artificial Intelligence, 2020.
[2]Gupta et al., "Anomaly Detection in Surveillance Videos," IEEE Transactions on Neural Networks, 2019.
[3]Taylor et al., "IoT and Smart Surveillance," IEEE Sensors Journal, 2019.
[4]Brown et al., "IoT-Based Surveillance Systems," IEEE Internet of Things Journal, 2021.
[5]Zhao et al., "AI in Public Surveillance," IEEE Transactions on Cybernetics, 2017.
[6]Ahuja et al., "Safety-Centric Surveillance Systems," IEEE Transactions on Smart Cities, 2018. Link
[7]Zhang et al., "Real-Time Anomaly Detection Using Deep Learning," IEEE Transactions on AI, 2023.
[8]Sharma et al., "Ethical Considerations in AI," Springer AI Ethics Journal, 2023.