Proceedings of the 2017 2nd International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2017)

Automatic Cashier System Based on Meal Plate Detection Using Deep Learning

Authors
Weibin Zheng, Shengliang Peng, Qilong Chen, Hao Ouyang, Shiheng Lin
Corresponding Author
Weibin Zheng
Available Online March 2017.
DOI
10.2991/isaeece-17.2017.79How to use a DOI?
Keywords
Automatic Cashier System, Meal Plate Detection, Deep Learning, Faster-R-CNN
Abstract

Deep learning (DL) is an important branch of machine learning (ML) that has excellent performance in recognition and detection tasks. Currently, most self-service restaurants/canteens are utilizing traditional manual cashier approaches, which suffer from the problems of error calculation, low efficiency and high labor cost. In this paper, an automatic cashier system using DL is designed to solve the problems mentioned above. This system recognizes the numbers and types of multiple plates in a meal tray with faster region based convolutional neural network (Faster-R-CNN) and automatically calculates the total price of the meal. Experimental results show the satisfying meal plate detection accuracy and high cashier speed of our system.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 2nd International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2017)
Series
Advances in Engineering Research
Publication Date
March 2017
ISBN
10.2991/isaeece-17.2017.79
ISSN
2352-5401
DOI
10.2991/isaeece-17.2017.79How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Weibin Zheng
AU  - Shengliang Peng
AU  - Qilong Chen
AU  - Hao Ouyang
AU  - Shiheng Lin
PY  - 2017/03
DA  - 2017/03
TI  - Automatic Cashier System Based on Meal Plate Detection Using Deep Learning
BT  - Proceedings of the 2017 2nd International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2017)
PB  - Atlantis Press
SP  - 413
EP  - 418
SN  - 2352-5401
UR  - https://doi.org/10.2991/isaeece-17.2017.79
DO  - 10.2991/isaeece-17.2017.79
ID  - Zheng2017/03
ER  -