Open AccessThe Implementation of Multilevel Colour Thresholding on a Prototype Coffee Machine
Author(s) -
Nova Resfita,
Rahmadi Kurnia,
Fitrilina Fitrilina
Publication year - 2020
Publication title -
journal of science and applicative technology
Language(s) - English
Resource type - Journals
ISSN - 2581-0545
DOI - 10.35472/jsat.v4i2.344
Subject(s) - thresholding , computer science , implementation , artificial intelligence , image processing , computer vision , digital image processing , machine vision , digital image , digital camera , image (mathematics) , programming language
The development of computer vision has expanded widely as there is a vast number of its applications in various aspects of daily life. One of its implementations is integrating the image processing technique on a prototype coffee machine based on the speech recognition system. This study aims to detect the requested coffee colour spoken by users which are black, middle and light. The sensor used in this research is a digital PC camera and the applied method is Multilevel Colour Thresholding. Of all experiments conducted, the image processing technique can work perfectly as the camera is able to identify the requested colour of the coffee solution. Furthermore, the system might be developed by improving the multilevel colour thresholding technique as well as advancing the hardware design in order to establish more robust coffee machine based on the requested colour.