This paper introduces an approach to enable AI-guided digital printing on 3D surfaces, overcoming the geometric limitations of conventional inkjet systems. Leveraging Mask R-CNN segmentation and real-time control logic, we demonstrate the feasibility of accurate, sustainable printing on complex geometries such as those found in fashion applications.
Converging Computer Vision and Deep Learning for Adaptive Printing on Irregular 3D Surfaces
Zenadocchio, M.
;Battisti, G.;Marotta, A.;
2025-01-01
Abstract
This paper introduces an approach to enable AI-guided digital printing on 3D surfaces, overcoming the geometric limitations of conventional inkjet systems. Leveraging Mask R-CNN segmentation and real-time control logic, we demonstrate the feasibility of accurate, sustainable printing on complex geometries such as those found in fashion applications.File in questo prodotto:
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