Internet of Things (IoT) based Object Recognition Technologies

K. Srinivasan, V. Azhaguramyaa
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引用次数: 2

Abstract

Over the past years, the Object recognition technologies have matured to a great extent, where it has enabled the development of exciting solutions for visually impaired. A variety of solutions has been proposed using computer vision and object recognition to help the visually impaired with their day-to-day activities. This paper aims at the development of a solution that can be adopted by the visually impaired for identifying and locating household objects in their daily life. The solution includes a wearable device that listens for the user's voice, understands the user's command and locates the object in the surrounding environment. Once the target object is located, it gives user the information about the object and the maximum possible distance of the object from the user. The performance of the device has been increased and the battery consumption has been decreased by adopting an efficient algorithm that makes the device usable in day-to-day life.
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基于物联网(IoT)的对象识别技术
在过去的几年里,物体识别技术已经在很大程度上成熟了,它为视障人士提供了令人兴奋的解决方案。人们提出了多种解决方案,利用计算机视觉和物体识别来帮助视障人士进行日常活动。本文旨在开发一种视障人士在日常生活中识别和定位家居物品的解决方案。该解决方案包括一个可穿戴设备,该设备可以监听用户的声音,理解用户的命令,并在周围环境中定位物体。一旦定位了目标物体,它就会向用户提供有关该物体的信息以及该物体与用户之间的最大可能距离。通过采用有效的算法,提高了设备的性能,降低了电池消耗,使设备在日常生活中可用。
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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