India, June 6 -- A new AI system that can automatically identify contaminated construction and demolition wood waste has been developed by researchers from Monash University and Charles Darwin University (CDU).

Published in Resources, Conservation & Recycling, the study presents the first real-world image dataset of contaminated wood waste - a major step toward smarter recycling and sustainable construction.

The research team, led by Madini De Alwis with Dr Milad Bazli (CDU), under the supervision of Associate Professor Mehrdad Arashpour, Head of Construction Engineering at Monash, trained and tested cutting-edge deep learning models to detect contamination types in wood waste using images.

Contaminated wood from construction and demol...