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A plug-and-play Hyperspectral Imaging Sensor using low-cost equipment.

Jairo Salazar-Vazquez1, Andres Mendez-Vazquez1

  • 1Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Av. del Bosque 1145, colonia el Bajío, ZC, 45019, Mexico.

Hardwarex
|May 2, 2022
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Summary

A new, low-cost Hyperspectral Imaging Sensor (HSI) was developed using modern components. This portable device offers high spectral accuracy for applications in remote sensing and agriculture on a budget.

Keywords:
HSIHyperspectral Imaging SensorHyperspectral applicationImaging SpectroscopyLow-cost HSI

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Area of Science:

  • Optics and Photonics
  • Remote Sensing Technology
  • Spectroscopy

Background:

  • Hyperspectral Imaging Sensors (HSI) are crucial for extracting spectral information in diverse fields like remote sensing, food analysis, and precision agriculture.
  • Existing HSI devices are often expensive and complex, limiting their accessibility for research and application development.

Purpose of the Study:

  • To develop a robust, low-cost, and easily assembled Hyperspectral Imaging Sensor (HSI) device.
  • To enable algorithm evaluation and new application exploration for HSI on a limited budget.

Main Methods:

  • Leveraged modern high-resolution cameras, electronics, and optics to construct the HSI device.
  • Developed a comprehensive framework including 3D models, calibration methods, and acquisition software for building and calibrating the HSI system.
  • Characterized the device's weight, spectral range (400-1052 nm), waveband count (315), spectral resolution (~2.07 nm), and spatial resolution (116x110 pixels).

Main Results:

  • The developed HSI device is portable, lightweight (≤300g), and significantly more affordable (2% of commercial HSI costs).
  • Achieved high spectral accuracy under both controlled and ambient light conditions.
  • The integrated framework simplifies HSI device construction and reduces processing time.

Conclusions:

  • The proposed HSI system provides a cost-effective and accessible solution for hyperspectral imaging research and applications.
  • Its portability, reusability, and ease of assembly make it suitable for various low-budget projects.
  • Facilitates broader exploration and development of new hyperspectral imaging algorithms and applications.