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In conveyor belt sushi restaurants, billing is a burdened job because one hasto manually count the number of dishes and identify the color of them tocalculate the price. In a busy situation, there can be a mistake that customersare overcharged or under-charged. To deal with this problem, we developed amethod that automatically identifies the color of dishes and calculate thetotal price using real images. Our method consists of ellipse fitting andconvol-utional neural network. It achieves ellipse detection precision 85% andrecall 96% and classification accuracy 92%.

Sushi Dish - Object detection and classification from real images