An approach to dynamically control the photoresponsivity of pixels in a computational sensor based on local image gradients enables the precise and robust detection of edge features of targets in dim light conditions from a single image capture.
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References
Gouveia, L. C. P. & Choubey, B. Advances on CMOS image sensors. Sensor Rev. 36, 231–239 (2016). An introduction to the technological advances of CMOS image sensors.
Wang, C.-Y. et al. Gate-tunable van der Waals heterostructure for reconfigurable neural network vision sensor. Sci. Adv. 6, eaba6173 (2020). This paper reports a bioinspired retinomorphic vision sensor.
Liu, G. et al. Graphene-assisted metal transfer printing for wafer-scale integration of metal electrodes and two-dimensional materials. Nat. Electron. 5, 275–280 (2022). This paper reports a general approach for the large-scale integration of devices based on arrays of low-dimensional materials.
Akinwande, D. et al. Graphene and two-dimensional materials for silicon technology. Nature 573, 507–518 (2019). A review article that presents the progress and challenges of integrating two-dimensional materials with silicon-based nanosystems.
Yuan, S. et al. Geometric deep optical sensing. Science 379, eade1220 (2023). This review article outlines the advances in optical sensing and imaging achieved with reconfigurable sensors.
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This is a summary of: Yang, Y. et al. In-sensor dynamic computing for intelligent machine vision. Nat. Electron. https://doi.org/10.1038/s41928-024-01124-0 (2024).
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Pixel-correlated computing for detecting and tracking targets in dim lighting. Nat Electron 7, 191–192 (2024). https://doi.org/10.1038/s41928-024-01125-z
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DOI: https://doi.org/10.1038/s41928-024-01125-z