基于Faster-RCNN的室内住宅环境视障辅助系统

Wei-Jen Lin, Mu-Chun Su, Wei-Yin Cheng, Wen-Yu Cheng
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引用次数: 4

摘要

对于视障人士来说,“独立生活”是重建尊严和自信的关键。除了行动能力,视障人士还能记住家里家具的位置。因此,移动家具或物品(如钥匙、遥控器等)可能会让人困惑,甚至可能不安全。本文介绍了一种将深度学习与视障人士摄像头相结合的系统,用于识别空间中是否移动过的物体,如家具、重要的日常用品等。该智能手机应用程序用于通知视障人士所有物体的当前位置和运动位置。我们希望通过我们的系统,为视障人士重建一个安全、方便、舒适的室内环境。
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An Assist System for Visually Impaired at Indoor Residential Environment using Faster-RCNN
For the visually impaired, "independent living" is the key to rebuild the dignity and self-confidence. In addition to mobility skill, visually impaired memorize where the furniture is in homes. Therefore, moving the furniture or items (e.g. keys, remote control, etc.) around could be confusing and possibly unsafe. This article describes a system that combines deep learning with a camera for visually impaired to identify objects in the space whether it has been moved, such as furniture, important daily necessities, etc. The smart phone app is used to inform the visually impaired about the current location and movement location of all objects. We hope to re-establish a safe, convenient and comfortable indoor environment for the visually impaired through our system.
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