Real-Time Object Detection with Automatic Switching between Single-Board Computers and the Cloud

  • Ahmed Osman
  • , Raouf Abozariba
  • , A. Taufiq Asyhari
  • , Adel Aneiba
  • , Ambreen Hussain
  • , Bidushi Barua
  • , Moazam Azeem

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Citations (Scopus)
    Original languageEnglish
    Title of host publication2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781728190488
    DOIs
    Publication statusPublished (VoR) - 2021
    Event2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Orlando, United States
    Duration: 5 Dec 20217 Dec 2021

    Publication series

    Name2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings

    Conference

    Conference2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021
    Country/TerritoryUnited States
    CityOrlando
    Period5/12/217/12/21

    Funding

    This work was funded by the Department for Digital, Culture, Media & Sport (DCMS) as part of the 5G Connected Forest (5GCF) Project under its 5G Testbeds and Trials Program.

    Keywords

    • Machine learning
    • Object detection
    • WebRTC

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