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Near-sensor real-time imaging spectroscopy for industrial applications

机译:用于工业应用的近传感器实时成像光谱

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In this paper we present a system for high speed pixelwise spectral classification. The system is based on the line imaging PGP (Prism-Grating-Prism) spectrograph combined with the smart image sensor MAPP2200. The classification is implemented using a near-sensor approach where linear discriminant functions are calculated using exposure time modulation and analog summation of pixel data. After A/D-conversion the sums are compared and classified pixels are output from the sensor chip. The theoretical maximum classified pixel rate of the system is around 1 MHz depending on number of classes etc. In most practical applications however, the limit will be set by the available amount of light.

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