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.
Supervisor
Prof. Geeta Rani
Program
MTECH CSE
License
CC BY 12
Published
29 March 2026
Department
Data Science & Computational Intelligence
License
CC BY 12
Supervisor
Prof. Geeta Rani
Program
MTECH CSE
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