Year: 2025
Type: article
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.
Authors: Andriy Krupych, Pavlo Levush
Institution: Lviv University
Language: English
Topic: Arduino and IoT Applications
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4411231715