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Developments in 'smart' custom image sensors at the University of Brighton

机译:布莱顿大学“智能”定制图像传感器的发展

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Any image processing that can be performed within the sensor itself has the potential to dramatically reduce the communication and processing workload of the host controller. Thus onchip processing has an important role to play in the viability of visual servoing applications. When coupled with the increasing accessibility of custom VLSI design this makes the development of 'smart' image sensing architectures attractive. Investigations into a proprietary optic DRAM image sensor suggested a sensing mechanism based upon selective sensitisation of photosites that would allow edge-detection of binary images to be performed in the focal plane of the sensor. This mechanism was chosen as the vehicle for development of a prototype 'smart' custom VLSI image sensor. A 32x32 array featuring this unique unit cell architecture was implemented in a 2 micron ES2 CMOS process. Each unit cell was 80.5 microns square and featured a diode photosite which occupied 24% of the total area, the remainder being concerned with buffering, binarisation and edge-extraction hardware. The requirement for support circuitry was met by a rack containing three Eurocards with a microprocessor.
机译:可以在传感器本身内执行的任何图像处理都具有显着降低主机控制器的通信和处理工作负载。因此,在视觉伺服应用的可行性中发挥着重要作用。当加上自定义VLSI设计的越来越多的可访问性时,这使得“智能”图像感应架构的开发有吸引力。对专有光学DRAM图像传感器的研究表明了一种基于光学的选择性敏感性的感测机构,该感应性允许在传感器的焦平面中执行的二进制图像的边缘检测。选择该机制作为用于开发原型“智能”自定义VLSI图像传感器的车辆。具有此唯一单位单元架构的32x32阵列是在2微米ES2 CMOS过程中实现的。每个单元电池为80.5微米正方形,并以24%的拍摄二极管拍摄的二极管拍摄,其余部分涉及缓冲,二碳和边缘提取硬件。通过含有微处理器的三个Eurocards的机架满足了对支持电路的要求。

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