Anomaly Detection Based on Deep Learning Using Video for Prevention of Industrial Accidents

Satoshi Hashimoto; Yonghoon Ji; Kenichi Kudo; Takayuki Takahashi; Kazunori Umeda

Anomaly Detection Based on Deep Learning Using Video for Prevention of Industrial Accidents

Computer Vision and Pattern Recognition 2020-05-29 v1

Authors: Satoshi Hashimoto , Yonghoon Ji , Kenichi Kudo , Takayuki Takahashi , Kazunori Umeda

Abstract

This paper proposes an anomaly detection method for the prevention of industrial accidents using machine learning technology.

Keywords

anomaly detection deep learning video industrial accidents prevention machine learning

Cite

@article{arxiv.2005.13734,
  title  = {Anomaly Detection Based on Deep Learning Using Video for Prevention of Industrial Accidents},
  author = {Satoshi Hashimoto and Yonghoon Ji and Kenichi Kudo and Takayuki Takahashi and Kazunori Umeda},
  journal= {arXiv preprint arXiv:2005.13734},
  year   = {2020}
}