AI Digital Survey or Inspections

Artificial Intelligence (AI) and Machine Learning (ML) software can be used to identify defects and classify visible damage on various types of structures and materials. It uses the latest developments in artificial intelligence specifically, deep learning for computer vision to detect and localise damage by analysing inspection images.

It brings you a unique new alternative to conventional methods of building envelope condition assessment, using an AI-powered system to conduct assessments faster and more economically than ever before.

It reduces costs by more than 50%, compared to standard hands on building inspection, and takes a fraction of the time, eliminating expensive scaffolding, drops and lifts. It significantly reduces the risk of injuries from working on scaffolding.

The system was built using deep neural networks trained on tens of thousands of annotated images. It applies computer vision technology to image analytics, allowing it to identify a wide range of material defects automatically.

The online portal maintains a timestamped record of all detected conditions, enabling building owners, management and maintenance teams to monitor deterioration of buildings for early remediation and avoid costly repairs down the line.