Artificial Intelligence Powered Weapon Detection with Automated Threat Alert System

DOI

10.2991/978-94-6463-718-2_22How to use a DOI?

Keywords

Weapon detection; Artificial Intelligence; Convolutional Neural Networks; Deep Learning; Real-time Surveillance; Transfer Learning; Security Systems; Threat Detection; Automated Alerts

Abstract

This study has a primary focus on the use of deep learning and artificial intelligence (AI) in enhancing weapon detection capability in security systems, and this overcomes traditional limitations in dynamic environments. Our method relies upon convolutional neural networks (CNNs) and deep learning models for analysis of images from CCTV cameras and scanners leading to notable improvement of detection in real time. Employing transfer learning and data augmentation, the system efficiently adjusts to superior complexity. When the weapon is detected, an alarm goes off and an email notification is sent to the high authorities. This strategy assists in enhancing efficiency of detection and foster provision of more secure areas to the members of the public through more proactive security systems.

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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TY  - CONF
AU  - J. Niranjana
AU  - J. Mary Dhivya
AU  - A. Balamurali
PY  - 2025
DA  - 2025/05/23
TI  - Artificial Intelligence Powered Weapon Detection with Automated Threat Alert System
BT  - Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
PB  - Atlantis Press
SP  - 243
EP  - 254
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-718-2_22
DO  - 10.2991/978-94-6463-718-2_22
ID  - Niranjana2025
ER  -