کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
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457632 | 695979 | 2013 | 11 صفحه PDF | دانلود رایگان |
Vision sensors based upon pixel-parallel cellular processor arrays offer the unique opportunity to realise high-performance, flexible, low power image processing systems. By virtue of processing on the focal-plane, the energy-demanding requirement to digitize a captured frame’s raw pixel data is reduced, with returned data constituting only that which is salient. We describe a stand-alone vision system incorporating a SCAMP-3 vision chip, an FPGA and an ARM Cortex-M3 microcontroller. SCAMP integrated circuits operate as SIMD computers; each pixel incorporating a compact but powerful analogue processor and local memory, with all operations occurring in parallel over the 128 × 128 array. Algorithms are developed to operate natively upon the focal-plane as far as possible, with additional serial and higher-level operations occurring on the microcontroller. The power consumption of the system is algorithm-dependent. An algorithm developed for loiterer detection at 8 fps has been shown to consume an average power of 5.5 mW, with a more complex object tracking and counting system consuming 29 mW.
Journal: Journal of Systems Architecture - Volume 59, Issue 10, Part A, November 2013, Pages 889–899