TY - GEN
T1 - Deflectometry setup definition for automatic chrome surface inspection
AU - Isasi-Andrieu, Alberto
AU - Garrote-Contreras, Estibaliz
AU - Iriondo-Bengoa, Pedro
AU - Aldama-Gant, David
AU - Galdran, Adrian
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/6/28
Y1 - 2017/6/28
N2 - A recurrent problem in the industrial sector is the quality control and surface inspection of reflecting pieces with non-planar surfaces. This is an extended and non-solved problem because it is related not only to the material itself but also to the coating. This problem appears in a wide spectrum of industrial sectors such as automation, aeronautics or orthopaedics. In recent years, a new imaging technology called deflectometry has been introduced in the field of surface inspection for industrial applications. This technology features a high resolution camera and a dedicated illumination system -based on displaying fringe patterns in a monitor- Allowing the detection of irregularities in surfaces. However, the introduction of this technology into automated quality control systems remains a challenging task, due to the wide range of defects and shapes that can appear. It becomes thus necessary to characterize different types of errors and their associated detection setups. In this paper we propose a novel methodology to define and analyse the best setup for each pattern. We also explore an efficient technique to maximize the number of different pieces inspected without modifying the setup of the acquisition system. Experimental results show that the presented methodology defines an inspection method that can be installed in an automatic quality control device for non-planar surfaces analysis of manufactured products.
AB - A recurrent problem in the industrial sector is the quality control and surface inspection of reflecting pieces with non-planar surfaces. This is an extended and non-solved problem because it is related not only to the material itself but also to the coating. This problem appears in a wide spectrum of industrial sectors such as automation, aeronautics or orthopaedics. In recent years, a new imaging technology called deflectometry has been introduced in the field of surface inspection for industrial applications. This technology features a high resolution camera and a dedicated illumination system -based on displaying fringe patterns in a monitor- Allowing the detection of irregularities in surfaces. However, the introduction of this technology into automated quality control systems remains a challenging task, due to the wide range of defects and shapes that can appear. It becomes thus necessary to characterize different types of errors and their associated detection setups. In this paper we propose a novel methodology to define and analyse the best setup for each pattern. We also explore an efficient technique to maximize the number of different pieces inspected without modifying the setup of the acquisition system. Experimental results show that the presented methodology defines an inspection method that can be installed in an automatic quality control device for non-planar surfaces analysis of manufactured products.
KW - Computer vision
KW - Deflectometry
KW - Quality control
KW - Surface inspection
UR - http://www.scopus.com/inward/record.url?scp=85044469919&partnerID=8YFLogxK
U2 - 10.1109/ETFA.2017.8247756
DO - 10.1109/ETFA.2017.8247756
M3 - Conference contribution
AN - SCOPUS:85044469919
T3 - IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
SP - 1
EP - 4
BT - 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 22nd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2017
Y2 - 12 September 2017 through 15 September 2017
ER -