Professor Eyad Elyan e.elyan@rgu.ac.uk
Professor
AI-Driven Framework for Remote Inspection
People Involved
Project Description
To develop an Al-driven lmmersive Inspection Platform for energy sector asset inspections, leveraging multi-modal data, artificial intelligence, and immersive augmented/virtual reality technologies, aimed at enhancing efficiency, accuracy, and predictive maintenance capabilities. The platform has potential applications in other industries, (e.g wind farm) thereby contributing to a more sustainable future.
| Project Acronym | AISUS 2nd |
|---|---|
| Status | Project Live |
| Funder(s) | AISUS Innovate UK |
| Value | £205,157.00 |
| Project Dates | Apr 1, 2024 - Mar 31, 2026 |
| Partner Organisations | AISUS Offshore Ltd |
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