Desarrollo de un software para determinar el resultado obtenido por unos dados en el juego Craps mediante procesamiento de imágenes y técnicas de visión artificial para personas no videntes o con baja capacidad visual.

Abstract

Pattern recognition is an outstanding area of research in computer vision, where different methods have been proposed in the last 50 years. In this proposal we intend to develop a software to identify the result of two six-sided dice used in the game Craps in order to help visually impaired people. For this purpose, the software is structured in four stages, the first one consists of capturing images through a device with a digital camera connected to the web by IP address to send information to the host; the second stage corresponds to the processing of the captured image, because it is necessary to establish a standard image size we proceed to resize and equalize the digitized image, the third stage seeks to segment the object of study by artificial vision techniques such as: object elimination, object area, measuring the properties of the region and segmentation in L*a*b* color space using nearest neighbor approximation, etc. to identify the position of the dice and extract them as clippings, the fourth stage presents the design and classification of the clippings using CNN, the fifth stage describes the methodology for predicting the classified result, and finally, for the sixth stage, it consists of taking the result and indicating it to the user through a speaker and a display. The results of the system are identified in the six stages mentioned above, by means of an intuitive and accessible Matlab desktop application, especially aimed at visually impaired people.