Proactive Crowd Safety with Agentic AI and 3D Spatial Interface

DOI

10.2991/978-94-6239-616-6_59How to use a DOI?

Keywords

Event Safety; Crowd Management; AI Agents; Emergency Response; Predictive Analytics; 3D Visualization; Smart Venues; Proactive Forecasting; Human-Centric Interfaces

Abstract

Event safety has become a growing concern with the surge in large gatherings such as festivals, concerts, political rallies, and urban public events. Existing event safety systems such as CCTV-based monitoring and IoT sensors often face problems including hardware dependence, poor scalability, slow detection of congestion, and weak situational awareness due to dependency on 2D dashboard [4]. This study surveys existing approaches in crowd monitoring, congestion prediction, and emergency response, identifying their strengths while highlighting challenges like computational overhead, weak generalization in dynamic environments, and limited real-time actionability. To overcome these gaps, we propose Divya Drishti, an Agentic AI-powered framework for holistic event safety management. The system integrates three specialized AI agents with a 3D interactive interface, enabling immersive visualization, proactive forecasting, user-initiated emergency reporting, and intuitive location-specific interventions. With lightweight and scalable deployment, Divya Drishti bridges predictive analytics, emergency response, and interactive visualization, offering a comprehensive and adaptive solution for real-time event safety.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - M. Madhumitha
AU  - R. Surya Pratap Singh
AU  - S. Sai Arjun
AU  - L. Rithish
PY  - 2026
DA  - 2026/03/31
TI  - Proactive Crowd Safety with Agentic AI and 3D Spatial Interface
BT  - Proceedings of the International Conference on Artificial Intelligence and Secure Data Analytics (ICAISDA 2025)
PB  - Atlantis Press
SP  - 789
EP  - 798
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-616-6_59
DO  - 10.2991/978-94-6239-616-6_59
ID  - Madhumitha2026
ER  -