边缘计算与边缘设备的比较分析:物联网与计算机视觉应用中的关键技术

M. Rohith, Ajeet Sunil, Mohana
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引用次数: 11

摘要

边缘计算是一种新兴技术,专注于在物联网(IoT)设备(如传感器、智能手机和许多更先进的设备)附近寻找计算能力。在提供信息的物联网设备中创建、收集和分析实时资源的过程。在边缘分析的情况下,数据被移动到下一步,在采取非延迟步骤之前获得更多数据并进行分析。边缘计算以其当前或软件应用程序中的性能而闻名。边缘计算专注于消除物联网设备的挑战,如网络拥塞、延迟和数据管理。计算机视觉领域也采用边缘计算技术。边缘计算对计算机视觉进行处理,以降低数据传输的成本。边缘计算还可以处理视频样本,而无需将其发送到云或任何其他存储单元。本文介绍了边缘计算技术在物联网和计算机视觉应用中的应用。边缘计算机的构建,还提供了对该领域最突出的关键参与者的见解。以及外围设备类型,研究人员在物联网和计算机视觉领域所面临的研究挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparative Analysis of Edge Computing and Edge Devices: Key Technology in IoT and Computer Vision Applications
Edge computing is a new emerging technology which focuses on finding computation power near Internet of Things (IoT) devices such as sensors, smart phones, and many more advanced devices. The process of creating, collecting and analysing real-time resources, in IoT gadgets that provide information. In case of edge analytics, the data is moved to the next step, where more data is obtained and analysed before non-delaying steps are taken. Computing in edge is known for its performance at moment or in software applications. Edge computing focuses on eliminating challenges of IoT devices such as congestion of networks, latency and data management. The area of computer vision also uses the edge computing technique. Edge computing processes the computer vision in order to reduce the cost of transmission of data. Edge computing also processes sample of video without sending it to the cloud or any other storage unit. This paper describes use of edge computing technology in IoT and computer vision applications. Construction of computers on edge and also provides insight into the most prominent key players in this domain. And types of peripheral devices, research challenges endured by researchers in IoT and Computer vision area.
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