Aagela, Hamza, Holmes, Violeta, Dhimish, Mahmoud et al. (1 more author) (2017) Impact of Video Streaming Quality on Bandwidth in Humanoid Robot NAO Connected to the Cloud. In: Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing, 22-23 Mar 2017.
Abstract
This paper investigates the impact of video streaming quality on bandwidth consumption during the transfer of video data from a humanoid robot ‘NAO’ to computing devices, used to perform face recognition tasks, and to the cloud. It presents the results of profiling the network performance of connecting NAO with an edge controller, and discusses the effect of using different qualities of video streaming on the consumed up-link bandwidth. This study considers the limitation of the up-link bandwidth in the Wi-Fi network. It compares the performances of Wi-Fi and Ethernet connections between the NAO robot and a computer. In addition, it examines the accuracy of the face recognition tasks using various streaming scenarios, such as color video and black & white video. It investigates real-time video streaming using a wide range of frame rates, and video qualities, and their impact on the bandwidth, and accuracy of face identification. The results of our investigations are used to determine the acceptable video quality, frame rate, buffering and bandwidth that would give optimal results in face recognition using NAO robot, and enable efficient data transfer to the cloud.
Metadata
Item Type: | Conference or Workshop Item |
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Authors/Creators: |
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Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Electronic Engineering (York) |
Depositing User: | Pure (York) |
Date Deposited: | 02 Sep 2021 12:50 |
Last Modified: | 13 Feb 2025 05:35 |
Status: | Published |
Refereed: | Yes |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:177681 |