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Near-sensor real-time imaging spectroscopy for industrial a

机译:工业传感器的近传感器实时成像光谱

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Abstract: 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. !11
机译:摘要:在本文中,我们提出了一种用于高速像素级光谱分类的系统。该系统基于结合了智能图像传感器MAPP2200的线成像PGP(棱镜-光栅-棱镜)光谱仪。使用近传感器方法实现分类,其中使用曝光时间调制和像素数据的模拟求和来计算线性判别函数。在进行A / D转换后,对总和进行比较,并从传感器芯片输出分类的像素。系统的理论上最大分类像素率取决于类数等,大约为1 MHz。但是,在大多数实际应用中,该限制将由可用的光量来设置。 !11

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