Deep Learning Technique for Serving Visually Impaired Person

P. Chandankhede, Arun Kumar
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引用次数: 1

Abstract

The concepts like machine learning and artificial intelligence have been adopted in the real time applications due to their exceptional features and absolute algorithmic advantages. Deep learning is a one of research area in machine learning totally concerned with algorithmic techniques inspired by the structure and functions of the human neural system. It has created a niche for itself in learning processes involving multiple level of data representation and abstraction, thereby helping in making sense of data having several forms such as images, sound and text and finally revealing the feature level hierarchies. Deep learning techniques show higher level of accuracy and robustness in results and are independent of human crafted features. The Paper is divided into three main parts, first part identifies the need to develop the system for Visually Impaired person. Second part deals about various Deep learning techniques used for computer vision and object detection. And third part consist the proposed system for serving visually impaired person in doing daily chores.
服务视障人士的深度学习技术
机器学习和人工智能等概念因其独特的特性和绝对的算法优势而被应用于实时应用中。深度学习是机器学习的一个研究领域,它完全涉及受人类神经系统结构和功能启发的算法技术。它在涉及多层数据表示和抽象的学习过程中为自己创造了一个利基,从而帮助理解具有多种形式(如图像、声音和文本)的数据,并最终揭示特征级层次结构。深度学习技术在结果中显示出更高的准确性和鲁棒性,并且独立于人工制作的特征。本文主要分为三个部分,第一部分明确了为视障人士开发系统的必要性。第二部分讨论了用于计算机视觉和目标检测的各种深度学习技术。第三部分是为视障人士提供日常家务服务的建议制度。
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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