Academic Journal
Zynq-Based Hardware–Software Codesign Architecture for an Intelligent Hyperspectral Camera.
| 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] |
| Copyright of Sensors (14248220) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Complementary Index |
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| Items | – Name: Title Label: Title Group: Ti Data: Zynq-Based Hardware–Software Codesign Architecture for an Intelligent Hyperspectral Camera. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Xie%2C+Lufan%22">Xie, Lufan</searchLink><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Lijing%22">Zhang, Lijing</searchLink><br /><searchLink fieldCode="AR" term="%22Yang%2C+Fan%22">Yang, Fan</searchLink><br /><searchLink fieldCode="AR" term="%22Lin%2C+Mengchen%22">Lin, Mengchen</searchLink><br /><searchLink fieldCode="AR" term="%22Wang%2C+Jiadong%22">Wang, Jiadong</searchLink><br /><searchLink fieldCode="AR" term="%22Cao%2C+Shengxiang%22">Cao, Shengxiang</searchLink><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Chenlong%22">Zhang, Chenlong</searchLink><br /><searchLink fieldCode="AR" term="%22Liu%2C+Di%22">Liu, Di</searchLink><br /><searchLink fieldCode="AR" term="%22Pan%2C+Mingzhong%22">Pan, Mingzhong</searchLink><br /><searchLink fieldCode="AR" term="%22Yang%2C+Jin%22">Yang, Jin</searchLink> – Name: TitleSource Label: Source Group: Src Data: Sensors (14248220); Jun2026, Vol. 26 Issue 11, p3374, 18p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Hyperspectral+imaging+systems%22">Hyperspectral imaging systems</searchLink><br /><searchLink fieldCode="DE" term="%22Systems+on+a+chip%22">Systems on a chip</searchLink><br /><searchLink fieldCode="DE" term="%22Spectrum+analysis%22">Spectrum analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Edge+computing%22">Edge computing</searchLink><br /><searchLink fieldCode="DE" term="%22Data+reduction%22">Data reduction</searchLink><br /><searchLink fieldCode="DE" term="%22Real-time+computing%22">Real-time computing</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+data+processing%22">Electronic data processing</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Sensors (14248220) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/s26113374 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 3374 Subjects: – SubjectFull: Hyperspectral imaging systems Type: general – SubjectFull: Systems on a chip Type: general – SubjectFull: Spectrum analysis Type: general – SubjectFull: Edge computing Type: general – SubjectFull: Data reduction Type: general – SubjectFull: Real-time computing Type: general – SubjectFull: Electronic data processing Type: general Titles: – TitleFull: Zynq-Based Hardware–Software Codesign Architecture for an Intelligent Hyperspectral Camera. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Xie, Lufan – PersonEntity: Name: NameFull: Zhang, Lijing – PersonEntity: Name: NameFull: Yang, Fan – PersonEntity: Name: NameFull: Lin, Mengchen – PersonEntity: Name: NameFull: Wang, Jiadong – PersonEntity: Name: NameFull: Cao, Shengxiang – PersonEntity: Name: NameFull: Zhang, Chenlong – PersonEntity: Name: NameFull: Liu, Di – PersonEntity: Name: NameFull: Pan, Mingzhong – PersonEntity: Name: NameFull: Yang, Jin IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 14248220 Numbering: – Type: volume Value: 26 – Type: issue Value: 11 Titles: – TitleFull: Sensors (14248220) Type: main |
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