Técnicas de reconhecimento de imagem para incorporação em ferramentas de auxílio a deficientes visuais
Resumen
Visual impairment can cause many limitations to a person, which includes working in basic
home duties, professional activities, and also changing the way the world is perceived by
him or her. The advent of new technologies allows the design and exploration of new kinds
of aid devices for the visually impaired. Image recognition techniques have long been used
as a tool to compensate or complement human visual limitations. More recently, advances
in machine learning techniques, such as deep learning, have offered new possibilities to
build aid tools devices that can play a significant role in reducing the limitations suffered
by blind people. This work presents the results related to the development of an image
recognition module to be used as part of an existing embedded aid tool for visually impaired
people. The module is based on convolutional neural networks, and is initially targeted to
the recognition of the state of indoor home objects.