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Design and calibration of a low-cost benchtop pushbroom hyperspectral imaging system with conveyor-based scanning

  • Ahmed Fawzy Hussein*
  • , Ali AlBeladi
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Hyperspectral imaging (HSI) systems are often limited by high cost and complex hardware, restricting their accessibility for laboratory research and small-scale industrial applications. This paper presents the design, construction, calibration, and validation of a low-cost benchtop pushbroom hyperspectral imaging system incorporating a motorized conveyor for synchronized line-scan image acquisition over the 400–1000 nm spectral range. The proposed system integrates a complete calibration workflow, including wavelength calibration and conveyor synchronization, together with quantitative performance evaluation and hyperspectral cube reconstruction. Wavelength calibration was performed using thirteen band-pass filters and evaluated using linear, polynomial, and interpolation-based mapping models. Independent validation was further conducted using leave-one-out cross-validation (LOOCV). Experimental results show that the linear calibration model provides the most consistent overall performance, achieving a wavelength calibration RMSE of 7.76 nm with a coefficient of determination ( R 2 > 0.998), while also demonstrating superior spectrum-domain accuracy compared with the polynomial model. Validation using halogen, fluorescent, and LED illumination confirmed stable and repeatable spectral measurements across the operating wavelength range. The developed system provides a reproducible and quantitatively validated framework for low-cost hyperspectral imaging by integrating synchronized acquisition, comprehensive calibration, and systematic performance evaluation within a single benchtop platform. The proposed design is suitable for laboratory research, educational applications, and rapid prototyping of hyperspectral imaging systems.

Original languageEnglish
Article number112126
JournalResults in Engineering
Volume32
DOIs
StatePublished - Dec 2026

Bibliographical note

Publisher Copyright:
© 2026 The Authors.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Benchtop imaging prototype
  • Calibration-function error
  • Conveyor synchronization
  • Halogen illumination
  • Hypercube visualization
  • Hyperspectral imaging (HSI)
  • Linear and polynomial interpolation
  • Low-cost imaging system
  • Pushbroom scanner
  • Spectral histogram
  • Spectral mapping
  • Spectrum-based error
  • Wavelength calibration

ASJC Scopus subject areas

  • General Engineering

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