• DocumentCode
    2944312
  • Title

    Development of an automatic optical inspection system for defect detection of dental floss picks

  • Author

    Hsu, Quang-Cherng ; Lin, Chin-Wen ; Chen, Jian-Yuan

  • Author_Institution
    Dept. of Mech. Eng., Nat. Kaohsiung Univ. of Appl. Sci., Kaohsiung, Taiwan
  • fYear
    2012
  • fDate
    11-14 July 2012
  • Firstpage
    444
  • Lastpage
    449
  • Abstract
    This study aims to make improvements in manufacturing yields for dental floss picks, through deploying automated quality inspection processes. By using computerized visual inspection and automatic controls, this study explores standardization and automation of inspection work for the three major defects affecting dental floss picks and dental floss fibers. Among the industrial design solutions implemented by this study are environmentally efficacious layout of light sources, optimal configuration of optical imaging and automated equipment, and the design and development of a proprietary defect detection program; moreover, an automatic optical inspection (AOI) system, which can be installed in the production lines, is built for verification. As for verification of detected defects, trial operations can be conducted on production lines and adjusted to optimal parameters in order to measure floss fiber defects with an area larger than 0.09mm2, impurity defects with gray-scale difference greater than 35, and shortage defects with lengths greater than 3mm. Statistical analysis of practical measurement results on ten dental floss picks indicated system detection rates of 93.1% for floss fiber defects, 56.2% for impurity defects and 84.4% for shortage defects.
  • Keywords
    automatic optical inspection; light sources; plastic products; polymer fibres; production engineering computing; quality control; standardisation; statistical analysis; automated equipment; automated quality inspection process; automatic controls; automatic optical inspection system; computerized visual inspection; defect detection; dental floss fibers; dental floss picks; gray-scale difference; impurity defects; industrial design solutions; inspection work automation; inspection work standardization; light sources; manufacturing yields; optimal optical imaging configuration; production lines; statistical analysis; Dentistry; Image edge detection; Impurities; Inspection; Production; Standards;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Intelligent Mechatronics (AIM), 2012 IEEE/ASME International Conference on
  • Conference_Location
    Kachsiung
  • ISSN
    2159-6247
  • Print_ISBN
    978-1-4673-2575-2
  • Type

    conf

  • DOI
    10.1109/AIM.2012.6265992
  • Filename
    6265992