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APOLLON focuses on creating a solar-cell-based optical neural network for real-time environmental monitoring and object recognition. By utilizing solar cells as sensors and network nodes, it aims to reduce energy consumption and complexity, enabling continuous operation in remote areas.
APOLLON aims to develop a novel solar-cell-based optical neural network (ONN) designed for real-time, energy-efficient environmental monitoring and object recognition.
By leveraging solar cells as both sensors and network nodes, the ONN eliminates the need for conventional cameras and external power sources, significantly reducing energy consumption and system complexity.
The integration of metasurfaces enhances the system’s optical sensitivity and spectral selectivity, enabling more accurate de…
THE UNIVERSITY COURT OF THE UNIVERSITY OF ST ANDREWS
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