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Generic Visual Perception Processor

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Generic Visual Perception Processor
ABSTRACT

Generic visual perception processor is a single chip modeled on the perception capabilities of the human brain, which can detect objects in a motion video signal and then locate and track them in real time. Imitating the human eye s neural networks and the brain, the chip can handle about 20 billion instructions per second. This electronic eye on the chip can handle a task that ranges from sensing the variable parameters as in the form of video signals and then process it for co-Generic visual perception processor is a single chip modeled on the perception capabilities of the human brain, which can detect objects in a motion video signal and then locate and track them in real time. Imitating the human eye s neural networks and the brain, the chip can handle about 20 billion instructions per second.

CHAPTER 1. INTRODUCTION

While computing technology is growing in leaps and bounds, the human brain continues to be the world's fastest computer. Combine brain-power with seeing power, and you have the fastest, cheapest, most extra ordinary processor ever-the human eye. Little wonder, research labs the world over are striving to produce a near-perfect electronic eye.
The 'generic visual perception processor (GVPP)' has been developed after 10 long years of scientific effort. Generic Visual Perception Processor (GVPP) can automatically detect objects and track their movement in real-time. The GVPP, which crunches 20 billion instructions per second (BIPS), models the human perceptual process at the hardware level by mimicking the separate temporal and spatial functions of the eye-to-brain system. The processor sees its environment as a stream of histograms regarding the location and velocity of objects. GVPP has been demonstrated as capable of learning-in-place to solve a variety of pattern recognition problems. It boasts automatic normalization for varying object size, orientation and lighting conditions, and can function in daylight or darkness.

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