Abstract
In this paper, we propose a methodology for recognition and classification of fruit juice image samples. The juice samples of different fruits like apple, chikku, lemon, mango, orange and pineapple are considered. Each juice is diluted with different percentages of water content. The RGB colour features extracted from the images form the knowledge base. A 3-Sigma-based classifier is proposed and has the classification efficiency of around 98%. The work finds application in restaurants, malls, motels and the like where the service robots automatically serve the food.
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 callMore From: International Journal of Computational Vision and Robotics
Disclaimer: 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.
