AI Management System to Prevent Accidents in Construction Zones Using 4K Cameras Based on 5G Network

Daichi Nozaki, Koki Okamoto, Toru Mochida, Xin Qi, Zheng Wen, San Hlaing Myint, Kiyohito Tokuda, Takuro Sato, Kazuhiko Tamesue

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

1 Citation (Scopus)

Abstract

Accident prevention for trucks, cranes and work vehicles at construction sites is important. Here, we use high-precision surveillance cameras with 4K cameras as IoT terminals to implement safe workplace environments. In this research, the system transmits photographic images from trucks, cranes, and other construction equipment fitted with 4K cameras at the work site to a database via 5G wireless networks, and uses AI to assess the interactions and movements of workers in the database. We introduce a system that makes it possible to avoid crashes by informing truck and crane drivers, and notifying automatic driving trucks and crane cars of that information. It is conceivable that uplink traffic could become congested due to many vehicles equipped with 4K cameras simultaneously transmitting images over the 5G uplink. Here, as a basic 5G characteristic evaluation, 4K images from trucks or cranes moving at a low speed are transmitted to the database according to moving speed and distance to the 5G terminal connecting the base station and IoT device. Based on the error environment, we report the relation with the error of the system that judges and identifies the surrounding environment using AI when video quality is deteriorated.

Original languageEnglish
Title of host publication2018 21st International Symposium on Wireless Personal Multimedia Communications, WPMC 2018
PublisherIEEE Computer Society
Pages462-466
Number of pages5
ISBN (Electronic)9781538657577
DOIs
Publication statusPublished - 2019 May 10
Event21st International Symposium on Wireless Personal Multimedia Communications, WPMC 2018 - Chiang Rai, Thailand
Duration: 2018 Nov 252018 Nov 28

Publication series

NameInternational Symposium on Wireless Personal Multimedia Communications, WPMC
Volume2018-November
ISSN (Print)1347-6890

Conference

Conference21st International Symposium on Wireless Personal Multimedia Communications, WPMC 2018
CountryThailand
CityChiang Rai
Period18/11/2518/11/28

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Keywords

  • 4K
  • 5G
  • AI
  • Artificial Intelligence
  • Autonomous driving technologies
  • Image processing
  • Machine learning
  • Object detection
  • Tensorflow

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Human-Computer Interaction

Cite this

Nozaki, D., Okamoto, K., Mochida, T., Qi, X., Wen, Z., Myint, S. H., Tokuda, K., Sato, T., & Tamesue, K. (2019). AI Management System to Prevent Accidents in Construction Zones Using 4K Cameras Based on 5G Network. In 2018 21st International Symposium on Wireless Personal Multimedia Communications, WPMC 2018 (pp. 462-466). [8712896] (International Symposium on Wireless Personal Multimedia Communications, WPMC; Vol. 2018-November). IEEE Computer Society. https://doi.org/10.1109/WPMC.2018.8712896