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 analog convnet image sensor architecture

RedEye: Analog ConvNet Image Sensor Architecture for Continuous Mobile Vision – implementation –

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Continuous mobile vision is limited by the inability to efficiently capture image frames and process vision features. This is largely due to the energy burden of analog readout circuitry, data traffic, and intensive computation. To promote efficiency, we shift early vision processing into the analog domain. This results in RedEye, an analog convolutional image sensor that performs layers of a convolutional neural network in the analog domain before quantization. We design RedEye to mitigate analog design complexity, using a modular column-parallel design to promote physical design reuse and algorithmic cyclic reuse.

  analog convnet image sensor architecture, artificial intelligence, machine learning, (4 more...)
  Industry: Semiconductors & Electronics (0.68)
  Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.69)

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