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Timber 4.0: a computer-vision approach for visual grading low-grade plantation


Booth, P and Maxwell, I and Schork, T, Timber 4.0: a computer-vision approach for visual grading low-grade plantation, Proceedings of the 51st International Conference of the Architectural Science Association (ANZAScA), 29 November-02 December 2017, Wellington, New Zealand, pp. 465-474. ISBN 9780992383541 (2017) [Refereed Conference Paper]

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Copyright 2017 Architectural Science Association (ANZAScA)

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The objective of this study was to develop a proof of concept for using low cost, off the shelf RGB-D computer vision techniques to assess grading and defect features in low grade plantation hardwood. It is framed within a wider research project that proposes the integration this data within a Cyber Physical System allowing real time design and material feedback within a computational design and fabrication workflow.

Item Details

Item Type:Refereed Conference Paper
Keywords:digital, robotic, timber, plantation, computer vision, industry 4.0, computational design
Research Division:Built Environment and Design
Research Group:Architecture
Research Field:Architectural computing and visualisation methods
Objective Division:Construction
Objective Group:Construction materials performance and processes
Objective Field:Timber materials
UTAS Author:Booth, P (Mr Peter Booth)
ID Code:123147
Year Published:2017
Deposited By:Architecture and Design
Deposited On:2017-12-19
Last Modified:2018-06-19

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