arXiv Open Access 2020

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

Satoshi Hashimoto Yonghoon Ji Kenichi Kudo Takayuki Takahashi Kazunori Umeda

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Abstrak

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

Topik & Kata Kunci

cs.CV

Penulis (5)

Satoshi Hashimoto

Yonghoon Ji

Kenichi Kudo

Takayuki Takahashi

Kazunori Umeda

Format Sitasi

APA MLA BibTeX

Hashimoto, S., Ji, Y., Kudo, K., Takahashi, T., Umeda, K. (2020). Anomaly Detection Based on Deep Learning Using Video for Prevention of Industrial Accidents. https://arxiv.org/abs/2005.13734

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Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓