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
Link To Document :
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