A dynamic lighting system for automated visual inspection of headlamp lenses

Author

Martínez, S. Satorres ; Ortega, J. Gómez ; García, J. Gámez ; García, A. Sánchez

Author_Institution

Electron. Eng. & Autom. Dept., Univ. of Jaen, Jaen, Spain

fYear

2009

fDate

22-25 Sept. 2009

Firstpage

1

Lastpage

4

Abstract

This paper presents a novel lighting system to reveal surface defects on transparent parts with non-planar surface. Thanks to this system, the defect segmentation is straightforward and fast to compute and so a real-time inspection of these parts is possible. To aid in the conception of the imaging conditions, the lighting system is completely described and also a comparative study with others commercial lighting systems is done. Then, a new adaptive threshold selection algorithm for defect segmentation is proposed. Finally, the system performance is assessed using a commercial model of headlamp lens.

Keywords

adaptive signal processing; image segmentation; inspection; lamps; lenses; lighting; production engineering computing; surface treatment; adaptive threshold selection algorithm; automated visual inspection; defect segmentation; dynamic lighting system; headlamp lenses; imaging conditions; surface defects; Computer vision; Electrical equipment industry; Geometry; Image segmentation; Inspection; Lenses; Lighting; Machine vision; Machinery production industries; Quality control;

fLanguage

English

Publisher

ieee

Conference_Titel

Emerging Technologies & Factory Automation, 2009. ETFA 2009. IEEE Conference on

Conference_Location

Mallorca

ISSN

1946-0759

Print_ISBN

978-1-4244-2727-7

Electronic_ISBN

1946-0759

Type

conf

DOI

10.1109/ETFA.2009.5347252

Filename

5347252