We present a novel pipeline to efficiently localise defects in volumetric Computed Tomography (CT) scans of valuable wood logs. We couple a 2D detector applied independently on each scan slice with a multi-object tracking approach processing detections along the scan direction to localise the defects in 3D. Our solution is designed to meet the real-time requirements of modern production lines, to optimise the wood sawing operations for high-quality final products and to reduce wood waste as well as carbon footprints. We effectively embedded our defect localisation algorithm in the Meccanica del Sarca S.p.A.’s production pipeline achieving a reduction of their economic loss by 7% compared to the previous years.
Localisation of Defects in Volumetric Computed Tomography Scans of Valuable Wood Logs
Boscaini, Davide
;Poiesi, Fabio;Messelodi, Stefano;
2021-01-01
Abstract
We present a novel pipeline to efficiently localise defects in volumetric Computed Tomography (CT) scans of valuable wood logs. We couple a 2D detector applied independently on each scan slice with a multi-object tracking approach processing detections along the scan direction to localise the defects in 3D. Our solution is designed to meet the real-time requirements of modern production lines, to optimise the wood sawing operations for high-quality final products and to reduce wood waste as well as carbon footprints. We effectively embedded our defect localisation algorithm in the Meccanica del Sarca S.p.A.’s production pipeline achieving a reduction of their economic loss by 7% compared to the previous years.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
