A smart, efficient, and reliable parking surveillance system with edge artificial intelligence on IoT devices

Ruimin Ke, Yifan Zhuang, Ziyuan Pu, Yinhai Wang

Research output: Contribution to journalArticleResearchpeer-review

95 Citations (Scopus)

Abstract

Cloud computing has been a main-stream computing service for years. Recently, with the rapid development in urbanization, massive video surveillance data are produced at an unprecedented speed. A traditional solution to deal with the big data would require a large amount of computing and storage resources. With the advances in Internet of things (IoT), artificial intelligence, and communication technologies, edge computing offers a new solution to the problem by processing all or part of the data locally at the edge of a surveillance system. In this study, we investigate the feasibility of using edge computing for smart parking surveillance tasks, specifically, parking occupancy detection using the real-time video feed. The system processing pipeline is carefully designed with the consideration of flexibility, online surveillance, data transmission, detection accuracy, and system reliability. It enables artificial intelligence at the edge by implementing an enhanced single shot multibox detector (SSD). A few more algorithms are developed either locally at the edge of the system or on the centralized data server targeting optimal system efficiency and accuracy. Thorough field tests were conducted in the Angle Lake parking garage for three months. The experimental results are promising that the final detection method achieves over 95% accuracy in real-world scenarios with high efficiency and reliability. The proposed smart parking surveillance system is a critical component of smart cities and can be a solid foundation for future applications in intelligent transportation systems.

Original languageEnglish
Pages (from-to)4962-4974
Number of pages13
JournalIEEE Transactions on Intelligent Transportation Systems
Volume22
Issue number8
DOIs
Publication statusPublished - Aug 2021
Externally publishedYes

Keywords

  • artificial intelligence
  • Cloud computing
  • Edge computing
  • Intelligent sensors
  • Internet of Things.
  • Magnetic sensors
  • object detection
  • parking surveillance
  • Reliability
  • smart city
  • Surveillance
  • Wireless sensor networks

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