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Extending in-sensor computing from static images to dynamic motions

Nature Electronics volume 6, pages 801–802 (2023)Cite this article

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Event-driven, in-sensor computing can be performed by individual vision sensors composed of two parallelly connected photodiodes, enabling vision recognition of dynamic motion.

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Fig. 1: Event-driven, in-sensor spiking neural networks.

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Authors and Affiliations

  1. State Key Laboratory of Integrated Chips and Systems, Frontier Institute of Chip and System, Fudan University, Shanghai, China

    Du Xiang

  2. Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Institute of Optoelectronics and Department of Materials Science, Fudan University, Shanghai, China

    Tao Liu

Authors
  1. Du Xiang
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  2. Tao Liu
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Correspondence to Du Xiang or Tao Liu.

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Xiang, D., Liu, T. Extending in-sensor computing from static images to dynamic motions. Nat Electron 6, 801–802 (2023). https://doi.org/10.1038/s41928-023-01070-3

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