Conference PaperData Science & Computational Intelligence

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

Published 29 March 2026·151 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

Prof. Geeta Rani

Program

MTECH CSE

License

CC BY 12

References (6)

[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]Kumar et al., "Efficient Edge AI Models," ACM IoT Systems Journal, 2023.
[5]Sharma et al., "Ethical Considerations in AI," Springer AI Ethics Journal, 2023.
[6]Rao et al., "IoT Wearables and Safety Systems," Springer Journal of Smart Environments, 2022.