Liquid-level Estimation Using Region-based Segmentation for Automatic Beverage Refilling Service
- Authors
- Kim, Mikang; Jang, Jinbeum; Jeong, Kyungwon; Kim, Daehee; Paik, Joonki
- Issue Date
- Jun-2015
- Publisher
- IEEE
- Keywords
- image processing; service industry; IoT
- Citation
- 2015 IEEE INTERNATIONAL SYMPOSIUM ON CONSUMER ELECTRONICS (ISCE), v.2015-August
- Journal Title
- 2015 IEEE INTERNATIONAL SYMPOSIUM ON CONSUMER ELECTRONICS (ISCE)
- Volume
- 2015-August
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/48539
- DOI
- 10.1109/ISCE.2015.7177811
- ISSN
- 2158-3994
- Abstract
- This paper presents an automatic liquid level detection algorithm for a beverage refilling service in a restaurant. The automatic detection of liquid level provides the amount of residual of customer's beverage using a general-purpose surveillance camera deployed in a restaurant. The proposed system consists of three modules i) extraction of a cup and beverage region using color-based region segmentation by K-means clustering, ii) edge detection of the cup and beverage region, and iii) liquid level estimation based on edge detection. Using a general-purpose CCTV camera and a set of relevant image processing algorithms, the proposed system can be one of important applications of internet of things (IoT) service.
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Collections - Graduate School of Advanced Imaging Sciences, Multimedia and Film > Department of Imaging Science and Arts > 1. Journal Articles
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