Impact of Video Streaming Quality on Bandwidth in Humanoid Robot NAO Connected to the Cloud

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
LanguageEnglish
Title of host publicationICC '17
Subtitle of host publicationProceedings of the Second International Conference on Internet of things, Data and Cloud Computing
PublisherAssociation for Computing Machinery (ACM)
Number of pages8
ISBN (Print)9781450347747
DOIs
Publication statusPublished - 22 Mar 2017
EventInternational Conference on Internet of Things, Data and Cloud Computing 2017 - University of Cambridge, Cambridge, United Kingdom
Duration: 22 Mar 201723 Mar 2017
http://icc-conference.org/ (Link to Conference Website)

Publication series

NameInternational Conference Proceedings Series
PublisherAssociation for Computing Machinery (ACM)

Conference

ConferenceInternational Conference on Internet of Things, Data and Cloud Computing 2017
Abbreviated titleICC'17
CountryUnited Kingdom
CityCambridge
Period22/03/1723/03/17
Internet address

Fingerprint

Video streaming
Robots
Bandwidth
Face recognition
Wi-Fi
Telecommunication links
Data transfer
Network performance
Ethernet
Color
Controllers

Cite this

Aagela, H., Holmes, V., Dhimish, M., & Wilson, D. (2017). Impact of Video Streaming Quality on Bandwidth in Humanoid Robot NAO Connected to the Cloud. In ICC '17 : Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing (International Conference Proceedings Series). Association for Computing Machinery (ACM). https://doi.org/10.1145/3018896.3036377
Aagela, Hamza ; Holmes, Violeta ; Dhimish, Mahmoud ; Wilson, David. / Impact of Video Streaming Quality on Bandwidth in Humanoid Robot NAO Connected to the Cloud. ICC '17 : Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing. Association for Computing Machinery (ACM), 2017. (International Conference Proceedings Series).
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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.",
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Aagela, H, Holmes, V, Dhimish, M & Wilson, D 2017, Impact of Video Streaming Quality on Bandwidth in Humanoid Robot NAO Connected to the Cloud. in ICC '17 : Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing. International Conference Proceedings Series, Association for Computing Machinery (ACM), International Conference on Internet of Things, Data and Cloud Computing 2017, Cambridge, United Kingdom, 22/03/17. https://doi.org/10.1145/3018896.3036377

Impact of Video Streaming Quality on Bandwidth in Humanoid Robot NAO Connected to the Cloud. / Aagela, Hamza; Holmes, Violeta; Dhimish, Mahmoud; Wilson, David.

ICC '17 : Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing. Association for Computing Machinery (ACM), 2017. (International Conference Proceedings Series).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Aagela H, Holmes V, Dhimish M, Wilson D. Impact of Video Streaming Quality on Bandwidth in Humanoid Robot NAO Connected to the Cloud. In ICC '17 : Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing. Association for Computing Machinery (ACM). 2017. (International Conference Proceedings Series). https://doi.org/10.1145/3018896.3036377