CNN computational abilities of large infrared proximity arrays

M. Koller, G. Cserey
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引用次数: 4

Abstract

In this paper we introduce a new hardware-software system, which applies some special modification on the original local connection attributes. The cells of this device has reflective type infrared distance sensors, each cell containing a LED and a phototransistor. The mapped surface can be not only the input of the computational system, but can form the local weights of the connections of adjacent cells. In this way, the locally adapted weightening is accomplished by the reflectance feature, which feature can modify the light of the neighboring cells. It has an important meaning: the physical environment take a part (and probably the control) of the processing. With this method, instead of using "distance image" as an input only, we can achieve more complex processing.
大型红外近距离阵列的CNN计算能力
本文介绍了一种新的硬件软件系统,该系统对原有的本地连接属性进行了一些特殊的修改。该装置的电池具有反射型红外距离传感器,每个电池包含一个LED和一个光电晶体管。映射的表面不仅可以作为计算系统的输入,而且可以形成相邻单元连接的局部权重。这样,通过反射特征来完成局部适应的加权,反射特征可以修改相邻单元的光。它有一个重要的含义:物理环境是处理过程的一部分(也可能是控制过程)。通过这种方法,我们可以实现更复杂的处理,而不是仅仅使用“距离图像”作为输入。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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