NISHANTHA Giguruwa
Department Ritsumeikan Asia Pacific University College of Sustainability and Tourism Position Professor |
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Language | English |
Publication Date | 2010/11 |
Type | Research paper (Academic/Professional Journal) |
Peer Review | Peer reviewed |
Title | Machine Vision Based Cash Register System for a Cafeteria |
Contribution Type | Joint Work |
Journal | Ritsumeikan Journal of Asia Paciific Studies (RCAPS) |
Volume, Issue, Page | 29,pp.23-37 |
Author and coauthor | Khanh N.DO, Davar Pishvar |
Details | The purpose of this research is to develop a prototype of an automated cash register system for a cafeteria-type setting using digital-image processing techniques. The idea is to take an image of a cafeteria food tray containing food items, identify all the food items on the tray, and display the total food cost. The analysis method uses shape and size analysis to identify food items that are served on distinct types of dishes, and color analysis for those items that are served in similar dishes. This article explains the prototype of a developed system, and cites the experiment results for 10 types of meals served at Ritsumeikan Asia Pacific University Cafeteria to justify the validity of this approach. The article also discusses the feasibility of developing a fully automated system, which will incorporate biometric technology for identification of the customer for automatic debiting of the food’s cost from the client’s pre-registered account for a wider application of the system, e.g. in military settings. |
ISSN | 1344-4204 |