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  3. Volume 10, Number 1, 2025
  4. Enabling Smart Spectroscopy via Arduino Iot Cloud

Enabling Smart Spectroscopy via Arduino Iot Cloud

ACPS.
2025;
Volume 10, Number 1
: pp. 41 - 46
https://doi.org/10.23939/acps2025.01.041
Authors:
  1. Andriy Krupych
  2. Pavlo Levush
1
Ivan Franko National University of Lviv, Ukraine
2
Ivan Franko National University of Lviv, Ukraine

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 commu- nication 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.

IoT concepts
Information Technology Cloud-based Spectroscopy
MQTT Communication
IoT Light Source Control.
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