In the field of deep learning, this paper presents the design of a wearable computer vision system for visually impaired users. The Assistive Technology solution exploits a powerful single board computer and smart glasses with a camera in order to allow its user to explore the objects within his surrounding environment, while it employs Google TensorFlow machine learning framework in order to real time classify the acquired stills. Therefore the proposed aid can increase the awareness of the explored environment and it interacts with its user by means of audio messages.

Embedded Systems and TensorFlow Frameworks as Assistive Technology Solutions

Mulfari, Davide;Palla, Alessandro;Fanucci, Luca
2017-01-01

Abstract

In the field of deep learning, this paper presents the design of a wearable computer vision system for visually impaired users. The Assistive Technology solution exploits a powerful single board computer and smart glasses with a camera in order to allow its user to explore the objects within his surrounding environment, while it employs Google TensorFlow machine learning framework in order to real time classify the acquired stills. Therefore the proposed aid can increase the awareness of the explored environment and it interacts with its user by means of audio messages.
2017
Mulfari, Davide; Palla, Alessandro; Fanucci, Luca
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/884564
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