Feasibility of using machine vision based cash register system in a University Cafeteria

Khanh N. Do, Jun Ohya, Davar Pishva, G. G.D. Nishantha

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper explores the feasibility of using machined vision based cash register system in a university cafeteria and automatically determine price of the food items that are contained on a cafeteria food tray. The idea is to take an image of the food tray, identify all the food items on the tray, and display the total food cost. A fully automated version of the system is envisioned to use a standard biometric technology for customer identification and for automatic debit process of the food cost from the customer's pre-registered account. The analysis method uses shape and size analysis to identify food items that are served on distinct type dishes and color analysis for those items that are served in similar type dishes. The paper explains prototype of a developed system and experimental results for 10 types of meals served at Ritsumeikan Asia Pacific University Cafeteria to justify the validity of this approach.

Original languageEnglish
Title of host publicationProceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010
Pages2554-2558
Number of pages5
DOIs
Publication statusPublished - 2010 Dec 30
Event2010 3rd International Congress on Image and Signal Processing, CISP 2010 - Yantai, China
Duration: 2010 Oct 162010 Oct 18

Publication series

NameProceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010
Volume6

Conference

Conference2010 3rd International Congress on Image and Signal Processing, CISP 2010
CountryChina
CityYantai
Period10/10/1610/10/18

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Keywords

  • Biometrics identification, automated debit system
  • Color analysis
  • Geometric analysis
  • Machine vision
  • Object recognition

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Do, K. N., Ohya, J., Pishva, D., & Nishantha, G. G. D. (2010). Feasibility of using machine vision based cash register system in a University Cafeteria. In Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010 (pp. 2554-2558). [5648169] (Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010; Vol. 6). https://doi.org/10.1109/CISP.2010.5648169