Paper
7 September 1998 Design and development of the smart machine vision sensor (SMVS)
Stefan Fischer, Nikolaus Schibli, Fabrice Moscheni
Author Affiliations +
Proceedings Volume 3410, Advanced Focal Plane Arrays and Electronic Cameras II; (1998) https://doi.org/10.1117/12.324011
Event: SYBEN-Broadband European Networks and Electronic Image Capture and Publishing, 1998, Zurich, Switzerland
Abstract
The Smart Machine Vision Sensor (SMVS) is a self-contained low-cost machine vision system that combines an image sensor, a processing unit and communication interfaces in a single unit. This paper describes the design of the SMVS, the concept of the operating system and the application software. The main characteristics of the SMVS are (1) the absence of an analog video signal and (2) the modular design concept. The signal processing is performed with the processing unit and the output consists either of image analysis results or a compressed digital image data stream. The modular design allows for easy customization for applications that require different sensor technologies, resolutions and spectral sensitivities. The modular design is made possible by the development of a generic sensor-CPU interface. This interface can be used with either CCD or CMOS sensors with a resolution of 512 X 512 pixels. It eliminates the need to redesign the processor board with changing sensor requirements. The SMVS is smaller and cheaper than traditional image processing systems based on desktop personal computers. It uses full-frame, non- interlaced sensor with square pixels to provide an optical image quality, avoiding the drawbacks of an analog, interlaced video signal with fixed frame rate.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stefan Fischer, Nikolaus Schibli, and Fabrice Moscheni "Design and development of the smart machine vision sensor (SMVS)", Proc. SPIE 3410, Advanced Focal Plane Arrays and Electronic Cameras II, (7 September 1998); https://doi.org/10.1117/12.324011
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Cited by 8 scholarly publications.
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KEYWORDS
Sensors

Image processing

Machine vision

CMOS sensors

CCD image sensors

Signal processing

Digital signal processing

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