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This paper presents the design and implementation of a computer vision algorithm for automating the painting process in furniture manufacturing. Woodworking computer numerical control (CNC) machines are limited in terms of the operations they can perform, are extremely power hungry due to heavy moving parts, and require human intervention. Automating processes in furniture making would help manufacturers procure on-demand furniture sales while maintaining zero inventory. This work deals with using computer vision to detect pieces of furniture on a CNC bed and painting them without human intervention.
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Gandhi et al. (2018) studied this question.
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