Share Email Print
cover

Proceedings Paper • new

Glass bottle cap gap width detection combined with transmission lighting system design based on machine vision
Author(s): Guangmang Cui; Jufeng Zhao; Liyao Zhu; Xiaoli Gong
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Combined with the design and construction of transmission lighting system, the machine vision detection scheme is proposed for bottle cap gap width inspection of industrial production line. With the consideration of the reflective properties of glass bottle material, the transmission lighting method using white LED array light source is designed.. It could avoid the disturbance on the detection algorithm caused by the nonuniformity of the imaging region. The vision detection algorithm is developed by using automatic bottle cap region search method and edge detection by seed growing. The upper and bottom edge line position is extracted precisely and the real bottle cap gap width is calculated by image pixel physical size calibration. The real experimental imaging system is setup and the experimental results demonstrate that the presented machine vision detection scheme could realize high precision bottle cap sealing gap width detection with detection precision as 0.01mm. The vision algorithm has high accuracy and the processing speed could satisfy the production line task requirements for bottle cap detection.

Paper Details

Date Published: 12 March 2019
PDF: 7 pages
Proc. SPIE 11023, Fifth Symposium on Novel Optoelectronic Detection Technology and Application, 110230O (12 March 2019); doi: 10.1117/12.2520324
Show Author Affiliations
Guangmang Cui, Hangzhou Dianzi Univ. (China)
Jufeng Zhao, Hangzhou Dianzi Univ. (China)
Liyao Zhu, Hangzhou Dianzi Univ. (China)
Xiaoli Gong, Hangzhou Dianzi Univ. (China)


Published in SPIE Proceedings Vol. 11023:
Fifth Symposium on Novel Optoelectronic Detection Technology and Application
Qifeng Yu; Wei Huang; You He, Editor(s)

© SPIE. Terms of Use
Back to Top