Detection of wood species and decay with NIR hyperspectral imaging

 The project investigates the possibility of using hyperspectral imaging NIR to determine wood species, proportion of decay such as rot and blue stains and possible occurrence of insect infestation in log cross sections i.e. we investigate how the spectral information in the NIR area can be used to analyze variations in chemical composition within a log cross section and thereby relate to the various defects.

This project is a lab study where log cross sections from spruce and pine with different degrees and types of defects were scanned with a NIR camera in a lab setup. If the NIR model correctly detects wood species and identifies and predicts the proportion of damaged wood with sufficient accuracy, it verifies that the measuring principle works. Which creates a basis to develop an industrial prototype.