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

Citation

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]

Copyright Statement

Copyright 2017 Architectural Science Association (ANZAScA)

Official URL: http://anzasca.net/category/conference-papers/2017...

Abstract

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:Design Practice and Management
Research Field:Design Innovation
Objective Division:Construction
Objective Group:Construction Design
Objective Field:Construction Design not elsewhere classified
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
Downloads:0

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