Neural vision sensors for surface defect detection

Author

Malki, Suleyman ; Spaanenburg, Lambert ; Ray, Nick

Author_Institution

Dept. of Inf. Technol., Lund Univ., Sweden

Volume

4

fYear

2004

fDate

25-29 July 2004

Firstpage

3155

Abstract

Vision sensors are built from a camera and intelligent hardware and/or software. Steadily decreasing microelectronic costs have spawned a large number of vision sensory applications, such as surface defect detection. A constructive method for defect detection entails a mixture of mathematical and intelligent modules. Such a heterogeneous modular system can be realized in many ways. In this paper we discuss a packet-switched implementation on a macro-enriched field-programmable gate-array.

Keywords

cellular neural nets; cost reduction; field programmable gate arrays; image sensors; inspection; integrated circuit manufacture; integrated circuits; packet switching; camera; heterogeneous modular system; intelligent hardware; intelligent software; macro-enriched field-programmable gate-array; microelectronic costs reduction; neural vision sensors; packet-switched implementation; surface defect detection; Application software; Costs; Hardware; Image sensors; Inspection; Intelligent sensors; Microelectronics; Neural networks; Production; Smart cameras;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on

Conference_Location

Budapest

ISSN

1098-7576

Print_ISBN

0-7803-8359-1

Type

conf

DOI

10.1109/IJCNN.2004.1381179

Filename

1381179