Prevention of human error in screw tightening work using image analysis: New approach to detect the hand via finger configuration

Keisuke Shida, Ryousuke Nakajima, Dominic Joy Poothokaran

研究成果: Article査読

抄録

In order to prevent human errors in the manufacturing industries, in this paper, a detection method of human error using image analysis is considered using screw tightening work as the target work. The results show that when the worker grasps the driver, the hand has a characteristic where the fingers from second to fifth fingers are parallel and also the high part and low part of the brightness value occur alternatively. It is discovered that through use of this characteristic for image analysis, the position of the hand while grasping the screwdriver is accurately estimated and screw tightening work is analyzed.

本文言語English
ページ(範囲)251-257
ページ数7
ジャーナルJournal of Japan Industrial Management Association
64
2
出版ステータスPublished - 2013 1月 1

ASJC Scopus subject areas

  • 戦略と経営
  • 経営科学およびオペレーションズ リサーチ
  • 産業および生産工学
  • 応用数学

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