Gazer 3d: a Robust, Data Driven, Digital Twin and Immersive Visualisation Platform

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Authors: Renjithkumar Surendran Pillai, Eoin O’Connel, Patrick Denny, Mohamed Shefeeque
Cited by: 1

Abstract

Gazer 3D platform characterizes a leading edge, data-driven, immersive visualization, and digital twin technology revolutionizing the modern industrial sectors. Integrating seamless IoT data, streamlined data management, AR/VR techniques, predictive analytics, and real-time data interaction aids the system for machine monitoring, anomaly detection, and predictive maintenance. The distinct features include 3D visualization, AI/ML-based predictive maintenance, photogrammetry integration, and enterprise-grade security. It addresses the challenges of conventional visualization techniques like data management challenges, data visualization challenges, data overload, data cleaning, lack of real-time data insights, scalability challenges, and lack of interconnectedness with legacy systems. It ensures to be secure with the zero trust security model with multi-layers of authentication and authorizations. This study handles the key differentiating features of Gazer 3D technology in overcoming the challenges of conventional models, mentioning the instances from sectoral applications.

Fields of Study & Subjects

Digital Transformation in Industry Impact of AI and Big Data on Business and Society Advanced Data and IoT Technologies

Publication details

Journal / source
International Journal on Science and Technology
Publisher
International Research Publication and Journals
Volume
17
Issue
1
Publication date
13 February 2026