Matrix Platform: Empowering Smart Ports with Advanced Video Analytics for Enhanced Security, Safety, and Efficiency

Brendan Black, Philip Perry, Joseph Rafferty, Claudia Cristina, Tom Bowman, Cathryn Peoples, Andrew Ennis, Andrew Reeves, Nektarios Georgalas, Adrian Moore, Bryan Scotney

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

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Abstract

This paper underscores the crucial role of video anonymization in smart ports, were data privacy and security hold critical importance. It introduces the Matrix Platform, specifically designed for smart environments, and highlights its strong video anonymization capabilities. The platform employs advanced Video Anonymization techniques to effectively balance the preservation of data confidentiality with the enhancement of port security. Furthermore, the paper discusses how object detection and anonymization methods are strategically employed to protect sensitive information while still allowing access to critical operational details such as cargo and vessel types. Emphasis is placed on video anonymization's pivotal role in strengthening port security by concealing high-value assets and minimizing the risk of exposing sensitive data. By integrating the Matrix Platform, ports gain the capability to proactively manage security risks, safeguard assets, and secure information. This adaptable platform can be deployed in both Edge and Cloud environments, ensuring alignment with the specific needs of smart ports, with a primary focus on data anonymization. In conclusion, as the port industry continues to evolve, this paper asserts that the adoption of video anonymization techniques is fundamental for future growth and development, providing assurance of privacy and security in this dynamic landscape.
Original languageEnglish
Title of host publication2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
EditorsJia Hu, Geyong Min, Guojun Wang
PublisherIEEE
Pages1822-1826
Number of pages5
ISBN (Electronic)979-8-3503-8199-3
ISBN (Print)979-8-3503-8200-6
DOIs
Publication statusPublished (in print/issue) - 29 May 2024

Publication series

NameProceedings - 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom/BigDataSE/CSE/EUC/iSCI 2023

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • Industries
  • Data privacy
  • Privacy
  • Smart cities
  • Visual analytics
  • Object detection
  • Information filtering
  • IoT
  • Object Detection
  • Pose-Estimation
  • Video Anonymisation
  • Video Analytics

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