Industrial Image Processing System Allows Parallel Computing On Sensor Data

Rainer Bermbach; Harald Scharfenberg

doi:10.1117/12.941323

14 October 1987 Industrial Image Processing System Allows Parallel Computing On Sensor Data

Rainer Bermbach, Harald Scharfenberg

Proceedings Volume 0804, Advances in Image Processing; (1987) https://doi.org/10.1117/12.941323
Event: Fourth International Symposium on Optical and Optoelectronic Applied Sciences and Engineering, 1987, The Hague, Netherlands

Abstract

ZSA, an industrial image processing system is characterized by a modern parallel architecture for digital signal processing. Besides the use of standard video cameras the system is strongly intended to be used with one dimensional sensors like CCD line cameras, x-ray and infrared arrays. In the basic ZSA system the processing power is distributed among two processors, a programmable digital signal processor (DSP) for rapid processing of the incoming data and a 16 bit standard microprocessor which not only performs system management and communication but also can be used for signal processing of the preprocessed image data coming from the DSP. In order to increase the computing power for the handling of fast data streams special hardware preprocessor modules dramatically reduce the data rate so that the programmable units can operate in realtime. In a different approach increasing of computing power is achieved by parallel processing of a ZSA master board and three ZSA slaves where the standard microprocessor controls the results of the four DSPs. Additionally, combining several master/slave configurations to a master/slave cluster further increases the computing power.

Citation Download Citation

Rainer Bermbach and Harald Scharfenberg "Industrial Image Processing System Allows Parallel Computing On Sensor Data", Proc. SPIE 0804, Advances in Image Processing, (14 October 1987); https://doi.org/10.1117/12.941323

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