Our aim is to development of the inspection system of wooden chopsticks, and in this paper, we develop the prototype for high-class disposable wooden chopsticks by computer vision technology. We propose a method of inspecting the four items of fine grain sample, coarse grain sample, unpeeled sample, and defective sample. Moreover, we addressed not only the proposal of the algorithm but development of a prototype system. We carried out the inspection experiment to 1050 samples, and evaluated quantitatively. As the results, for four items of fine grain sample, coarse grain sample, unpeeled sample, and defective sample, 98.5%, 82.2%, 98.9%, and 95.8% of F-measures were obtained.
['Takeshi Saitoh']
Development of Inspection System for Wooden Chopsticks