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

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Pages (from-to)251-257
Number of pages7
JournalJournal of Japan Industrial Management Association
Volume64
Issue number2
Publication statusPublished - 2013
Externally publishedYes

Fingerprint

Human Error
Image Analysis
Image analysis
Configuration
Grasping
Manufacturing Industries
Brightness
Error Analysis
Driver
Luminance
Target
Industry
Human error
Manufacturing industries
Workers

Keywords

  • Finger configuration
  • Human error
  • Image recognition
  • Screw tightening work

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Applied Mathematics
  • Management Science and Operations Research
  • Strategy and Management

Cite this

Prevention of human error in screw tightening work using image analysis : New approach to detect the hand via finger configuration. / Shida, Keisuke; Nakajima, Ryousuke; Poothokaran, Dominic Joy.

In: Journal of Japan Industrial Management Association, Vol. 64, No. 2, 2013, p. 251-257.

Research output: Contribution to journalArticle

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