Perovskite Based Artificial Vision System for Geometric Shape Recognition

The human visual system serves as an inspiration for an efficient image sensor for applications in robotics, sensing and computer vision. Inspired by the retina, we present a perovskite nanowire based artificial vision system for integrated sensing and data preprocessing. The sensor shows stable response to different learning and forgetting visual stimuli. We demonstrate the capabilities of the artificial vision system with a crossbar array and integration with perovskite-based memory for different shape recognition.

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Publication Details

Published
2025-03-09
DOI
https://doi.org/10.1109/edtm61175.2025.11040782
Citations
1
Primary Topic
Transition Metal Oxide Nanomaterials
Type
article
Field-Weighted Citation Impact
0.61
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article

Perovskite Based Artificial Vision System for Geometric Shape Recognition

Zhiyong Fan, Swapnadeep Poddar, Zhenghao Long, Shivam Kumar
1 citations
Transition Metal Oxide Nanomaterials
0.61
article

Perovskite Based Artificial Vision System for Geometric Shape Recognition

Zhiyong Fan, Swapnadeep Poddar, Zhenghao Long, Shivam Kumar
article en
1 citations

Abstract

The human visual system serves as an inspiration for an efficient image sensor for applications in robotics, sensing and computer vision. Inspired by the retina, we present a perovskite nanowire based artificial vision system for integrated sensing and data preprocessing. The sensor shows stable response to different learning and forgetting visual stimuli. We demonstrate the capabilities of the artificial vision system with a crossbar array and integration with perovskite-based memory for different shape recognition.

Hong Kong University of Science and Technology (HK), University of Hong Kong (HK)
Climate action
Openalex Percentile: Top 34%
Transition Metal Oxide Nanomaterials
0.61
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