New research from the University of Salford reveals a revolutionary way to tackle damp, mould, and home disrepair using cutting-edge artificial intelligence.
Published in the International Journal of Pattern Recognition and Artificial Intelligence, the findings show how AI can be harnessed to detect these issues with remarkable accuracy, providing a transformative solution for millions of UK households.
Damp and mould growth in homes pose severe health risks, contributing to respiratory infections, allergies, eczema, and bronchitis. The research demonstrates how machine learning can identify patterns and colours associated with mould, overcoming the challenge of its irregular appearance.
The study’s findings have been brought to life through the IntelOptic-powered app. The app is already making a real-world impact by offering a fast and accurate tool for detecting damp and disrepair in homes.
With a current success rate of 76%, the technology is helping tenants and homeowners identify problems early, preventing them from escalating into costly or harmful situations.
By enabling early detection of issues, the app reduces the need for time-consuming on-site inspections, allowing resources to be allocated more efficiently. This proactive approach addresses minor issues before they develop into major problems, saving councils time and money while improving housing conditions for residents.
For more visit: https://www.inteloptic.com/
