Enabling smart spectroscopy via arduino IoT cloud

This work presents a cloud-integrated IoT system for the real-time control and spectral monitoring of tunable light sources. Leveraging the Arduino IoT Cloud platform, the system has established bidirectional communication via the MQTT protocol to manage individual color channels of a programmable light source. Spectral data has been captured using a StellarNet spectrometer and transmitted over to the Arduino IoT Cloud, enabling live visualization and feedback control on the cloud dashboard. This closed-loop architecture has facilitated precise spectral tuning based on user-defined input or automated routines, making it suitable for applications in photonics research and material characterization. The platform has demonstrated flexibility, remote accessibility, and modular integration of commercial spectrometers with cloud-based control interfaces.

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Publication Details

Journal
Advances in Cyber-Physical Systems
Published
2025-05-02
DOI
https://doi.org/10.23939/acps2025.01.041
Citations
1
Primary Topic
Spectroscopy Techniques in Biomedical and Chemical Research
Type
article
Field-Weighted Citation Impact
1.63
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article

Enabling smart spectroscopy via arduino IoT cloud

Andriy Krupych, Pavlo Levush
1 citations
Advances in Cyber-Physical Systems
Spectroscopy Techniques in Biomedical and Chemical Research
1.63
article

Enabling smart spectroscopy via arduino IoT cloud

Andriy Krupych, Pavlo Levush
article en
1 citations

Abstract

This work presents a cloud-integrated IoT system for the real-time control and spectral monitoring of tunable light sources. Leveraging the Arduino IoT Cloud platform, the system has established bidirectional communication via the MQTT protocol to manage individual color channels of a programmable light source. Spectral data has been captured using a StellarNet spectrometer and transmitted over to the Arduino IoT Cloud, enabling live visualization and feedback control on the cloud dashboard. This closed-loop architecture has facilitated precise spectral tuning based on user-defined input or automated routines, making it suitable for applications in photonics research and material characterization. The platform has demonstrated flexibility, remote accessibility, and modular integration of commercial spectrometers with cloud-based control interfaces.

Advances in Cyber-Physical SystemsVol. 10(1)
Lviv University (UA), Stepan Gzhytskyi National University of Veterinary Medicine and Biotechnologies Lviv (UA), Lviv Polytechnic National University (UA)
Openalex Percentile: Top 14%
Spectroscopy Techniques in Biomedical and Chemical Research
1.63
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Enabling smart spectroscopy via arduino IoT cloud — Andriy Krupych, Pavlo Levush · Advances in Cyber-Physical Systems (2025) | TGRS Research Map | TGRS