Artificial intelligence enabled smart glove for visually impaired

J. Rahul, Ashutosh Kumar, L. Sharma
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Abstract

Object detection is a technique to tag objects present in the frame of an image, video sequence, and real-time video. In recent years, the world has been reshaped around deep learning algorithms. This paper makes the user aware of the obstacles present in his environment. There are two fundamental parts in this paper: the software part and the hardware part. The state-of-the-art You Look Only Once (YOLO) algorithm was applied in the present work for object identification. The overall analysis shows that this algorithm produces accurate results for real-time object detection and can be considered faster object identification.
视障人士用人工智能智能手套
目标检测是一种标记出现在图像、视频序列和实时视频帧中的对象的技术。近年来,世界已经围绕深度学习算法进行了重塑。这篇论文让用户意识到他的环境中存在的障碍。本文主要分为软件部分和硬件部分。最先进的You Look Only Once (YOLO)算法应用于本工作的目标识别。综合分析表明,该算法可以产生准确的实时目标检测结果,可以认为是更快的目标识别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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