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Updated: Jun 13, 2026

Multimodal Nonlinear Hyperspectral Chemical Imaging Using Line-Scanning Vibrational Sum-Frequency Generation Microscopy
Published on: December 1, 2023
Zynq-Based Hardware-Software Codesign Architecture for an Intelligent Hyperspectral Camera
Lufan Xie1,2, Lijing Zhang1,2, Fan Yang1,2
1Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China.
Abstract:
Traditional hyperspectral cameras transmit full data cubes to host computers, creating severe bandwidth and storage bottlenecks that impede real-time analysis. We present a Zynq-7035-based intelligent camera using hardware-software codesign to enable on-board processing and transmit only actionable results. This intelligent camera is designed for high-throughput edge-sensing tasks, prioritizing rapid detection and information extraction over exhaustive raw data acquisition. The processing system (PS) handles command scheduling while the programmable logic (PL) implements a row-parallel pipeline for image acquisition, preprocessing, and spectral matching; all modules are decoupled through a unified DDR3 interface to support flexible algorithm integration. Push-broom experiments on leaf samples demonstrate Euclidean distance-based spectral matching executed entirely within the camera. Raw data and classification maps are uploaded via User Datagram Protocol (UDP). Results confirm accurate identification of diseased regions with two orders of magnitude data reduction, validating the architecture for real-time hyperspectral processing.
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