SensiCut: Material-Aware Laser Cutting Using Speckle Sensing and Deep Learning
Mustafa Doga Dogan, Steven Vidal Acevedo Colon, Varnika Sinha, Kaan Aksit, Stefanie Müller
Abstract
Figure 1: SensiCut augments standard laser cutters with a speckle sensing add-on that can (a) identify materials often found in workshops, including visually similar ones. (b) SensiCut's user interface integrates material identification into the laser cutting workflow and also offers suggestions on how to adjust a design's geometry based on the identified material (e.g., adjusting the size of an earring cut from felt since the kerf for felt is larger than for other materials). (c) Each identified sheet is cut with the correct power and speed settings.
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Install the CLIlune papers fulltext 2f40ee9a-5b99-4204-b584-980434e0ce7fCited by top-tier papers12
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- XR-penter: Material-Aware and In Situ Design of Scrap Wood AssembliesRamya Iyer, Mustafa Doga Dogan, Maria Larsson, Takeo IgarashiCHI 2025 · 14 citations
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- Kerf-Canceling Mechanisms: Making Laser-Cut Mechanisms Operate across Different Laser CuttersThijs Roumen, Ingo Apel, Jotaro Shigeyama, Muhammad Abdullah et al.UIST 2020 · 21 citations
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