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Synopsys Fields Processor Core for Neural Network Computer Vision ApplicationsInside DSP - BDTiApr. 23, 2015 |
The computer vision market is in a period of dramatic expansion. Market forecasts consolidated by Synopsys attest to the burgeoning adoption of practical computer vision (i.e. "embedded vision") technology in a range of high-volume products. This growth is fueled by the increasing performance and decreasing cost and power consumption of processors, and by the growing awareness of the value that can be delivered via object detection, tracking, recognition and other vision processing functions.
A variety of processor options are capable of running vision algorithms. On one end of the flexibility-versus-efficiency spectrum are conventional CPUs. Intermediate candidates include GPUs, DSPs, FPGAs. And on the opposite end of the spectrum are specialized vision processors and cores, application-tailored but largely unsuitable for non-vision tasks. Vision-specific processors are currently offered by Apical, Cadence (formerly Tensilica), CEVA, CogniVue, Movidius, and videantis, for example.
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