Abstract
This paper discussed the external environmental conditions and humans’ internal cognition relating to the visual inspection process of actual mass productions. In visual inspection, human perception and recognition are indispensable to the detection and pass-fail discrimination of the defects, because only those form the discipline of the inspection. First, the effects of the external environment on the defect detection rate were evaluated based on the experimental results. Both defects’ features and environmental factors such as the display luminance and defects’ contrast and size are significant for the peripheral visual inspection. Some of the main effects reported in previous studies were verified again, and new interaction effects and whole factors became clear by quantitative analysis. The second was experiments and analyses of human perception and cognition of actual visual inspection targets. A wearable eye-tracker was used to observe experts and a beginner. The visual inspections by the experts were highly efficient because of their skilled perception at first glance and discrimination based on various industrial knowledge in addition to the defect’s appearance. The experts could stably detect a tiny and low-contrast defect on product images including much disturbing stimulus, and it is thought that their sensitivity and resolution were improved based on “attention” because they answered with high confidence. On the other hand, under the same situation, the number of the beginner’s focal points much increases, and processing speed deteriorates remarkably. Finally, some suggestions were summarized based on the results of the first and second topics about the environment of the visual inspection to raise the efficiency of defect detection and pass-fail judgement.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Chugoku Industrial Innovation Center: Report of the survey on possibility for promoting automated inspections at the production sites of manufacturing industries (2016)
Ministry of Health, Labour and Welfare of Japan: Survey on Employment Trends (2018)
https://www.mhlw.go.jp/toukei/itiran/roudou/koyou/doukou/19-2/index.html. Accessed 22 Jan 2020
Gollisch, T., Meister, M.: Eye smarter than scientists believed: neural computations in circuits of the retina. Neuron 65(2), 150–164 (2010)
Sasaki, A.: Visual inspection of peripheral vision [I]–[V]. JIIE IE Rev. (2005–2006)
Tobii Pro Glasses2 (Wearable eye tracker)
https://www.tobiipro.com/product-listing/tobii-pro-glasses-2/. Accessed 22 Jan 2020
Nakamura, R., Uchino, Y., Hida, T., Matsumoto, T.: Effect of illuminance of light on defect detection in visual inspection utilizing peripheral vision. JES J. “Ergonom.” 52(Suppl), 190–191 (2016)
Nakamura, R., Uchino, Y., Hida, T., Matsumoto, T.: A study on the effect of luminance of light on defect detection in visual inspection utilizing peripheral vision. JES J. “Ergonom.” 54(1), 14–23 (2018)
Zhao, S.-Z., et al: The comparison of peripheral visual field between normal subject and glaucomatous patients: results of super-threshold value by automative examination. Chinese Ophthal. Res. 12(2), 114–117 (1994)
Shida, K., Muroyama, H., Miura, I.: The relation between characteristics of defects and detection rate in visual inspection using the peripheral vision. JES J. “Ergonom.” 48(4), 163–169 (2012)
Hatada, T.: Visual Display Device Readability. National Institute of Advanced Industrial Science and Technology (AIST). Human Measurement Handbook, pp. 586–587. Asakura Shoten Publisher (2003)
Inspection test support machine of a gravure printing. http://www.taiyo-e.co.jp/product/en-oft-series.html. Accessed 4 Mar 2020
Neisser, U., Novick, R., Lazer, R: Searching for ten targets simultaneously. Percept. Motor Skills 17, 955–961 (1963)
Neisser, U.: Visual search. Sci. Am. 210, 94–102 (1964)
Lee, D.K., Itti, L., Koch, C., Braun, J.: Attention activates winner-take-all competition among visual filters. Nat. Neurosci. 2(4), 375–381 (1999)
Shioiri, S., Yamamoto, K., Kageyama, Y., Yaguchi, H.: Smooth shifts of visual attention. Vis. Res. 42(26), 2811–2816 (2002)
Mackben, M.: Sustained focal attention and peripheral letter recognition. Spat. Vis. 12(1), 51–72 (1999)
Acknowledgements
This research is supported by Cross-ministerial Strategic Innovation Promotion Program (SIP), “Big-data and AI-enabled Cyberspace Technologies” (Funding Agency: NEDO). We appreciate the support.
The authors also deeply appreciate all reviewers’ constructive comments.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Zhao, Z., Nishi, Y., Arima, S. (2021). Interaction Effects of Environment and Defect Features on Human Cognitions and Skills in Visual Inspections. In: Zimmermann, A., Howlett, R., Jain, L. (eds) Human Centred Intelligent Systems. Smart Innovation, Systems and Technologies, vol 189. Springer, Singapore. https://doi.org/10.1007/978-981-15-5784-2_35
Download citation
DOI: https://doi.org/10.1007/978-981-15-5784-2_35
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-5783-5
Online ISBN: 978-981-15-5784-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)