Cellular Nanoscale Sensory Wave Computing 2009
DOI: 10.1007/978-1-4419-1011-0_6
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A CMOS Vision System On-Chip with Multi-Core, Cellular Sensory-Processing Front-End

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Cited by 36 publications
(37 citation statements)
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“…Such systems are very efficient for real time image processing which is necessary for a robust FPH detection in highly dynamic processes [10]. Here, a system called Q-Eye was used consisting of 176 × 144 cells [11]. Each cell consists of a single photo sensor, processor and memory elements, and interconnections to the 8 neighboring cells.…”
Section: System Setupmentioning
confidence: 99%
“…Such systems are very efficient for real time image processing which is necessary for a robust FPH detection in highly dynamic processes [10]. Here, a system called Q-Eye was used consisting of 176 × 144 cells [11]. Each cell consists of a single photo sensor, processor and memory elements, and interconnections to the 8 neighboring cells.…”
Section: System Setupmentioning
confidence: 99%
“…The model was implemented on a standalone vision system, Eye-RIS [4]. It is a small embedded industrial vision system, based on a general purpose focal-plan sensor-processor (FPSP) chip, called Q-Eye.…”
Section: Implementation On a Focal-plane Sensor-processor Devicementioning
confidence: 99%
“…4), developed by AnaFocus Ltd, Seville, Spain [5] is constructed of an FPSP chip (Q-Eye) [4], a general purpose processor, which is used for driving the chip and for external communication. The Eye-RIS system…”
Section: The Eye-ris Systemmentioning
confidence: 99%
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“…Thus, for instance, consumer applications seek for minimum possible in-pixel circuitry [12]- [14], while high-end machine vision applications may call for larger amounts of in-pixel circuitry to increase the speed in the extraction of image features and in the reaction thereof [15] [16]. As a general rule of thumb, the incorporation of circuitry at pixel level enables images being processed as they are acquired thus increasing speed and reducing power consumption in the realization of vision tasks [17]- [21]. Sensors composed of these smart pixels, makes the next evolutionary step of CMOS pixels, following passive pixels and active pixels [1], by embedding within the pixel resources for mixed-signal processing, memory and the programming and control of information flows.…”
Section: Introductionmentioning
confidence: 99%