An Extended Reality(XR)-Based Tactical Support System Integrating Edge-AI Threat Detection and a Distributed Sensor Network for High-Risk Operations
Authors
Chandrkha R
Department of Electrical Engineering, Sri Ranganathar Institute of Engineering and Technology, Coimbatore, India (IN)
Kiran Kumar S
Department of Electrical Engineering, Sri Ranganathar Institute of Engineering and Technology, Coimbatore, India (IN)
Vikram J
Department of Electrical Engineering, Sri Ranganathar Institute of Engineering and Technology, Coimbatore, India (IN)
Palanivel D
Department of Electrical Engineering, Sri Ranganathar Institute of Engineering and Technology, Coimbatore, India (IN)
Article Information
Publication Timeline
Submitted: 2026-04-25
Published: 2026-04-25
Abstract
Until now, most defence-oriented immersive systems relied primarily on VR and AR interfaces to visualize mission data, maps, and environmental cues. These solutions offered useful overlays but lacked the capability to perform real-time threat identification directly from the soldier’s visual feed. Building on these earlier technologies, the proposed system introduces a next-generation Extended Reality (XR)–based tactical platform that not only displays information but also performs intelligent on-ground analysis using integrated image processing.The XR headset is equipped with a compact camera module that captures images of individuals encountered during mission entry. These images are processed through an AI-driven facial recognition model, enabling the system to instantly determine whether the person matches a known terrorist or high-risk suspect stored in an encrypted database. When a match is found, the soldier receives an immediate XR alert, while the base station simultaneously receives the captured image and identity confirmation for coordinated decision-making.
Keywords
Extended Reality (XR), Edge-AI, Facial Recognition, Threat Detection
This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
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References
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