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Smart Safety Belt for High Rise Worker at Industrial Field

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2018, 23(2), pp.63-70
  • DOI : 10.9708/jksci.2018.23.02.063
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : January 29, 2018
  • Accepted : February 27, 2018
  • Published : February 28, 2018

SeHoon Lee 1 Hyo-Jae Moon 1 Jin-Hyun Tak 2

1인하공업전문대학
2덕산정보통신

Accredited

ABSTRACT

Safety management agent manages the risk behavior of the worker with the naked eye, but there is a real difficulty for one the agent to manage all the workers. In this paper, IoT device is attached to a harness safety belt that a worker wears to solve this problem, and behavior data is upload to the cloud in real time. We analyze the upload data through the deep learning and analyze the risk behavior of the worker. When the analysis result is judged to be dangerous behavior, we designed and implemented a system that informs the manager through monitoring application. In order to confirm that the risk behavior analysis through the deep learning is normally performed, the data values of 4 behaviors (walking, running, standing and sitting) were collected from IMU sensor for 60 minutes and learned through Tensorflow, Inception model. In order to verify the accuracy of the proposed system, we conducted inference experiments five times for each of the four behaviors, and confirmed the accuracy of the inference result to be 96.0%.

Citation status

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