A Framework of Visual Checkout System Using Convolutional Neural Networks for Bento Buffet

Mei-Yi Wu1, Jia-Hong Lee2, Chuan-Ying Hsueh2

  • 1Graduate Institute of Food Culture and Innovation, National Kaohsiung University of Hospitality and Tourism, Songhe Road, Xiaogang District, Kaohsiung City 812, Taiwan.

Summary

This study introduces an AI-enabled self-checkout system for Bento buffet cafeterias, using computer vision and deep learning to accurately identify food items and estimate volumes. The system aims to reduce wait times and improve customer satisfaction by automating the checkout process.

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