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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
