NEAR-SENSOR REAL TIME SPECTRAL CLASSIFICATION FOR INDUSTRIAL APPLICATIONS

In this paper we present a system for high speed pixelwise spectral classification. The system is based on the line imaging PCP spectrograph combined with the MAPP2200 Smart Image Sensor. The classification is implemented using a near sensor approach were linear discriminant functions are calculated using variable exposure times and analog summation of pixel data. After A/D-conversion the sums are compared and classified pixels are output from the sensor chip. The speed of the system is in practice only limited by the available amount of light, with a theoretical maximum classified pixel rate of 1-3 MHz depending on number of classes etc.