Balfour-backed remote building inspection platform gets funding boost

The project aims to introduce algorithms for defect detection and sizing in image data through a mixture of deep learning algorithms, traditional image processing techniques and VR interfaces.

Balfour-backed remote building inspection platform gets funding boost
Balfour-backed remote building inspection platform gets funding boost

Balfour-backed remote building inspection platform gets funding boost

An online platform for remote building inspection, backed by Balfour Beatty and developed by the University of Strathclyde, has been given a new funding injection. The Construction Scotland Innovation Centre’s i-Con Challenge has awarded the six-month project with £35,000.

The platform will be trialed on the University of Strathclyde’s new Learning & Teaching building, which is being built by Balfour Beatty. The project aims to introduce algorithms for defect detection and sizing in image data through a mixture of deep learning algorithms, traditional image processing techniques and VR interfaces.

3D immersive environment

The platform will create a 3D immersive environment of a building. This will minimize the need for quantity surveyors and health and safety inspectors to be physically available at a site. The platform will also be able to provide occupants and the wider community with meaningful ways to engage and contribute to a building programme.

The project proposes a framework inclusive of VR and digital photogrammetry. It will assist in collecting real-time data that supports automated decision-making. They believe it will assist with integration of methodologies and tools.

According to a report by Bimplus, Dr Andrew Agapiou, senior lecturer in the University’s Department of Architecture and the lead researcher on the project, said that it is difficult to accurately detect errors and defects in remote and hard-to-access buildings.

In many situations, these structures are inspected using digital cameras to capture images that can be analyzed offline by experts who study the footage in detail. He added that the use of advanced photogrammetry and AI technologies will help with data gathering and analysis with minimum human interaction with buildings.