An Extended Reality(XR)-Based Tactical Support System Integrating Edge-AI Threat Detection and a Distributed Sensor Network for High-Risk Operations | IJLTEMAS
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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

DOI: 10.51583/IJLTEMAS.2026.150300134

Subject Category: AI

Volume/Issue: 15/3 | Page No: 1526-1535

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

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References

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