Professor Eyad Elyan e.elyan@rgu.ac.uk
Professor
Augmented Reality Procedural System (Phase 2)
People Involved
Project Description
Operators, contractors and other service providers in the Oil and Gas industry rely heavily on paper-based guidelines to perform procedural tasks. This is also the case across other different industries. Such approach proved to be time consuming, ambiguous and error-prone. In the Oil and Gas industry in particular, inaccurate completion of a task may result have catastrophic consequence, therefore there is an urgent need to explore and evaluate alternatives.
The aim of this project is to propose an alternative approach based on Augmented Reality (AR) where visual information alongside text/guidelines would be overlaid on a live vide feed captured via tablet or mobile device. The assumptions are that with such approach, all the paper-based procedures limitations would be overcome, and also with such technology safer, faster and more accurate completions of the tasks would be achieved.
In this project we showed that AR-based solution provides an intuitive, inexpensive and easy-to use technology allowing safer and faster practices in completing procedural tasks. The final solution was evaluated using 60 undergraduate students, where half of them were asked to complete a simple task using paper-based user’s manuals, while the remaining half used our AR solution. Results showed that the students who used AR-based solution were able to complete the task more accurately and significantly faster
In partnership with Cadherent Ltd
| Status | Project Complete |
|---|---|
| Funder(s) | Oil & Gas Innovation Centre The Data Lab |
| Value | £140,000.00 |
| Project Dates | Nov 1, 2016 - Oct 31, 2017 |
| Partner Organisations | Cadherent Ltd |
You might also like
Create a mobile application which will facilitate the use of sport science and artificial intelligence to provide measured feedback within sports and other environments Jan 11, 2016 - Mar 30, 2017
Many sports teams and individuals have professional standards without the resources. Our aim is to create academically sound, technology driven tools to help sports and other industries benefit from sport science without the need for expensive equipm...
Read More about Create a mobile application which will facilitate the use of sport science and artificial intelligence to provide measured feedback within sports and other environments.
Design and develop a 3D/4D interactive augmented visualisation system Oct 1, 2011 - Aug 1, 2014
To design and develop a 3D/4 D interactive augmented visualisation system that will allow us and our SME distributors to efficiently specify our products
Data mining and visualisation tool to intelligently mine large volumes of structured and unstructured data in oil/gas operations Jul 1, 2017 - Jun 30, 2019
The project will create a data mining and visualisation tool to intelligently mine large volumes of structured and unstructured data in oil/gas operations and the knowledge to further develop and support the tool, thus improving practice/decision-mak...
Read More about Data mining and visualisation tool to intelligently mine large volumes of structured and unstructured data in oil/gas operations.
Intelligent digitisation platform for processing, detecting and classifying symbols in technical drawings Jan 4, 2017 - Jan 3, 2018
The overall aim of the project is to build a Data Analytics Framework to process, analyse and digitise technical drawing and engineering diagrams using state-of-the-art machine learning and computer vision techniques
Data extraction from complex engineering drawings Aug 1, 2018 - Jul 31, 2019
Engineering drawings and diagrams are commonly used across different industries such as oil and gas, petrochemical, construction, transportation and others. Many legacy documents exist only as paper copies, scanned images or in pixelated format. Digi...
Read More about Data extraction from complex engineering drawings.