The Implementation of Multilevel Colour Thresholding on a Prototype Coffee Machine

Abstract

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.

Application of Computer Vision for Real-Time Detection of Fruit Color and Size in Fruit Sorter

“…The video consists of pixels arranged on a three-dimensional array, where two dimensions represent spatial images vertically and horizontally, and one dimension represents the time or number of images. To analyze a video, it is necessary to divide the video into smaller units and have several semantic relationships, namely shots, keyframes, and scenes [23].…”