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Near infra red
Photo: zakiya yassin

Detection of wood species and decay with NIR hyperspectral imaging

It is important to detect the defects in timber to ensure the correct assessment of delivered timber. It is difficult to detect and correctly estimate the proportion of decay within the timber and thus there is a big risk of defects being undetected.

 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.

Summary

Project name

Detection with Near infrared

Status

Active

Region

Region Stockholm

RISE role in project

Koordinator

Project start

Duration

7 månader

Total budget

387000 sek

Partner

SCA, Setra, Biometria

Funders

TraCentrum-Norr-TCN, TräCentrum Norr, TCN, en centrumbildning vid Luleå tekniska universitet.

Project members

Thomas Grahn

Contact person

Thomas Grahn

Senior research associate

+46 76 876 72 89

Read more about Thomas

Contact Thomas
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