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

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

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010
ページ2554-2558
ページ数5
DOI
出版ステータスPublished - 2010 12 30
イベント2010 3rd International Congress on Image and Signal Processing, CISP 2010 - Yantai, China
継続期間: 2010 10 162010 10 18

出版物シリーズ

名前Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010
6

Conference

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

ASJC Scopus subject areas

  • コンピュータ ビジョンおよびパターン認識
  • 信号処理

フィンガープリント

「Feasibility of using machine vision based cash register system in a University Cafeteria」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル