Inspection System of Soldering Joint on Printed Circuit Board by Using Neural Network | Zendy

Shunichiro Oe | Zendy; Kennichi Kaida | Zendy; Daisuke Nagai | Zendy; Mituo Nakamura | Zendy; Tomohiro Kimura | Zendy; Koichi Kameyama | Zendy

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Inspection System of Soldering Joint on Printed Circuit Board by Using Neural Network

Author(s) -

Shunichiro Oe,

Kennichi Kaida,

Daisuke Nagai,

Mituo Nakamura,

Tomohiro Kimura,

Koichi Kameyama

Publication year - 1995

Publication title -

journal of robotics and mechatronics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.257

H-Index - 19

eISSN - 1883-8049

pISSN - 0915-3942

DOI - 10.20965/jrm.1995.p0225

Subject(s) - printed circuit board , soldering , joint (building) , automated optical inspection , artificial neural network , brightness , computer science , artificial intelligence , wave soldering , computer vision , image sensor , image (mathematics) , engineering , materials science , optics , structural engineering , physics , composite material , operating system

This paper deals with a new inspection system of soldering joint on printed circuit board by using neural network. A sensor unit of this system consists of a semiconductor laser unit, four PSDs, and a pin photo-diode. We can obtain four types of images which are called height image, PSD brightness image, vertical image and vector image, by using four sensor units. We extract the features which show the state of soldering joint from these images and develop an inspection system using the neural networks constructed for the features and the state of soldering joint.

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