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

Author(s)	Renjithkumar Surendran Pillai, Eoin O’Connel, Patrick Denny, Mohamed Bhagavathi Kavungal Shefeeque
Country	Ireland
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.
Keywords	Gazer 3D, Digital Twin (DT), Predictive Maintenance, Immersive Visualization, Artificial Intelligence, 3D Visualization.
Field	Engineering
Published In	Volume 17, Issue 1, January-March 2026
Published On	2026-02-13

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International Journal on Science and Technology