Wood Veneer Classification and Cataloguing for Finished ProductJanuary 1, 2019
Steelcase Computer Science, 2018-19
Liaison(s): Joe Noto, Mark Schild, Ed Vander Bilt
Advisor(s): Katherine Breeden
Students(s): Christoph Gaebler, Israel Jones, Annalise Ko (PM), Charleen Tan, Kanishk Tantia
This Clinic project applies a classification system on finished wood veneer panels as a means of quality control. The image classification algorithm detects color differences between a given sample of finished wood veneer and its “master” (expected veneer color). The algorithm rates the degree of agreement between these two colors and provides a grade to express whether these differences are likely acceptable.