Tunable Nonlocal Metasurfaces for Edge Computing and Processing
AI Overview
This RFP seeks tunable metasurface devices that perform analog optical edge detection and image processing directly within thermal-imaging systems. The innovation reduces computational load and latency by shifting feature extraction from digital post-processing to the optical front-end using practical, scalable mid-wave infrared materials.
This summary is AI-generated from the official solicitation.
Key Details
Official Description
Current thermal-imaging systems rely heavily on digital post-processing to perform feature extraction and image processing, increasing latency, power consumption and system complexity. Recent advances in nonlocal metasurfaces have demonstrated analog optical operations including spatial differentiation, edge detection and image filtering by engineering the optical response in momentum space. However, most prior demonstrations have been limited to coherent illumination in controlled laboratory en...
Change History
Tunable Nonlocal Metasurfaces for Edge Computing and Processing
New opportunity: Tunable Nonlocal Metasurfaces for Edge Computing and Processing
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