Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
Zynq-Based Hardware–Software Codesign Architecture for an Intelligent Hyperspectral Camera. |
| Συγγραφείς: |
Xie, Lufan, Zhang, Lijing, Yang, Fan, Lin, Mengchen, Wang, Jiadong, Cao, Shengxiang, Zhang, Chenlong, Liu, Di, Pan, Mingzhong, Yang, Jin |
| Πηγή: |
Sensors (14248220); Jun2026, Vol. 26 Issue 11, p3374, 18p |
| Θεματικοί όροι: |
Hyperspectral imaging systems, Systems on a chip, Spectrum analysis, Edge computing, Data reduction, Real-time computing, Electronic data processing |
| Περίληψη: |
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. [ABSTRACT FROM AUTHOR] |
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| Βάση Δεδομένων: |
Complementary Index |