Um modelo computacional baseado em Redes Neurais Artificiais para auxiliar o reconhecimento de cores por portadores de Daltonismo

Color blindness is a not so rare visual deficiency, since approximately 8% of the male world population owns it, making it difficult for the individual to distinguish certain colors according to the type of color blindness.This work presents the construction of a computational model based on Neural Networks whose function is to help color-blind individuals in their daily life to identify objects that have some color in which they can not distinguish it.It will also allow any citizen with access to the aforementioned model to be able to find out whether or not he has color blindness in a fast and efficient way.A neural network is a parallel distributed processor, composed of simple processing units, which has the natural propensity to store experimental knowledge and make it available for use, especially that of its learning capacity through generalization of the response acquired during the training of the network.We used the IBM Watson Visual Recognition service that makes use of deep learning algorithms to analyze images, which resulted in a shorter processing time and the project had a lower financial cost.In this way, as a result, we build a mobile application whose activation of it occurs through the camera of the smartphone, to recognize the desired color.Finally, the application built, will be available to users on the various digital platforms for download.