Proceedings of the MULTINOVA: First International Conference on Artificial Intelligence in Engineering, Healthcare and Sciences (ICAIEHS- 2025)

Simhastha Ujjain Smart Policing: Using Communication and Face Recognition Technology to Improve Public Safety

Authors
Amaan Shaikh1, Salim Shaikh1, Tabrez Khan1, Saima Sayyed1, Vishal Gotarane1, *
1Department of Computer Engineering, Anjuman-I-Islam’s Kalsekar Technical Campus, Navi Mumbai, New Panvel, 410206, Maharashtra, India
*Corresponding author. Email: vishal.gotarane@aiktc.ac.in
Corresponding Author
Vishal Gotarane
Available Online 7 October 2025.
DOI
10.2991/978-94-6463-852-3_13How to use a DOI?
Keywords
Face Recognition; Surveillance Systems; Artificial Intelligence (AI); Missing Persons Identification; Smart Policing; Real-time Monitoring
Abstract

Law enforcement faces many difficulties during large gatherings, especially when trying to find lost objects and missing people. The goal of this study is to improve public safety at Simhastha Ujjain, one of the biggest religious congregations in the world, by integrating an AI-driven Face Recognition Surveillance System with a cutting-edge Communication System. The suggested solution helps the police department effectively manage security and respond to problems by using computer vision and artificial intelligence (AI) to detect and identify people in real-time. In a high-traffic surveillance network, a biometric-based recognition model is implemented to minimize false positives and guarantee accurate and timely detection of missing individuals. A communication structure also makes it possible for police enforcement authorities to coordinate easily, which speeds up the process of finding lost people or items. The system is a scalable and efficient solution for crowd management and smart policing since it integrates real-time monitoring and data analytics to improve decision-making. Experimental tests show the system is accurate and resilience in practical and real world situations. This study demonstrates how AI-powered surveillance could revolutionize public safety protocols at major events.

Copyright
© 2025 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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Volume Title
Proceedings of the MULTINOVA: First International Conference on Artificial Intelligence in Engineering, Healthcare and Sciences (ICAIEHS- 2025)
Series
Advances in Intelligent Systems Research
Publication Date
7 October 2025
ISBN
978-94-6463-852-3
ISSN
1951-6851
DOI
10.2991/978-94-6463-852-3_13How to use a DOI?
Copyright
© 2025 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.

Cite this article

TY  - CONF
AU  - Amaan Shaikh
AU  - Salim Shaikh
AU  - Tabrez Khan
AU  - Saima Sayyed
AU  - Vishal Gotarane
PY  - 2025
DA  - 2025/10/07
TI  - Simhastha Ujjain Smart Policing: Using Communication and Face Recognition Technology to Improve Public Safety
BT  - Proceedings of the MULTINOVA: First International Conference on Artificial Intelligence in Engineering, Healthcare and Sciences (ICAIEHS- 2025)
PB  - Atlantis Press
SP  - 195
EP  - 209
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-852-3_13
DO  - 10.2991/978-94-6463-852-3_13
ID  - Shaikh2025
ER  -