Embedded Systems and TensorFlow Frameworks as Assistive Technology Solutions

机译：嵌入式系统和Tensorflow框架作为辅助技术解决方案

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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.

机译：在深度学习领域，本文介绍了用于视障用户的可穿戴计算机视觉系统的设计。辅助技术解决方案利用具有相机的强大单板计算机和智能眼镜，以便允许其用户探索其周围环境中的对象，而它采用Google Tensorflow机器学习框架以实时对所获取的剧照进行分类。因此，所提出的援助可以提高探索环境的认识，它通过音频消息与用户互动。

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《European Conference of the Association for the Advancement of Assistive Technology in Europe》|2017年|xxiii 1130 p.|共5页
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Davide Mulfari; Alessro Palla; Luca Fanucci;
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中图分类康复医学工程;
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4. Embedded Systems and TensorFlow Frameworks as Assistive Technology Solutions [C] . Davide Mulfari, Alessro Palla, Luca Fanucci European Conference of the Association for the Advancement of Assistive Technology in Europe . 2017

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Embedded Systems and TensorFlow Frameworks as Assistive Technology Solutions

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