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This paper explores the integration of IoT technology into a solid-state photonics setup within a professional training context in engineering. The study emphasizes experimental photonics setups and the application of IoT for education and research. SSL devices, which generate artificial light using light emitting diodes (LEDs), include UV spectrum (UV LEDs), which are GaN-based semiconductors. The wavelength of these UV LEDs can be selected according the chip manufacturing process, the UV LEDs are the best candidate for the development of smart, eco-friendly, mercury-free UV emitters, with the potential to replace traditional mercury-based lamps. Over the past two decades, UV LEDs have undergone significant advancements in industrial and medical applications. The integration of IoT solutions in the development of testing methods and the study of LED performance accelerates the innovation process, enabling the creation of increasingly optically efficient LEDs. Empirical results obtained demonstrate the effects of temperature on optical emissions through radiative recombination in semiconductor systems, highlighting distinct opto-quantum effects. Finally, an automated IoT-enabled workstation was developed to monitor and control critical optical system variables, including photodiodes, temperature controllers, and UVC radiation-emitting semiconductors. This system serves as a valuable educational tool for hands-on training in emerging technologies. Furthermore, the integration of IoT not only optimizes performance, enhances measurement visualization and data recording but also contributes new insights to the global research community on UV SSL and photonics. .

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Internet of Things (IoT) for Research and Educational Experiments on Solid-State Lighting (SSL) in UV Range: Applications in Biophotonics and HealthTech Innovations

  • 会议论文

  • 发表日期：

    2026年

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  • Pablo Fredes,
  • Aaron Aedo,
  • Jose Pascal,
  • Ernesto Gramsch,
  • Ulrich Raff,
  • Cristian Soto

摘要

This paper explores the integration of IoT technology into a solid-state photonics setup within a professional training context in engineering. The study emphasizes experimental photonics setups and the application of IoT for education and research. SSL devices, which generate artificial light using light emitting diodes (LEDs), include UV spectrum (UV LEDs), which are GaN-based semiconductors. The wavelength of these UV LEDs can be selected according the chip manufacturing process, the UV LEDs are the best candidate for the development of smart, eco-friendly, mercury-free UV emitters, with the potential to replace traditional mercury-based lamps. Over the past two decades, UV LEDs have undergone significant advancements in industrial and medical applications. The integration of IoT solutions in the development of testing methods and the study of LED performance accelerates the innovation process, enabling the creation of increasingly optically efficient LEDs. Empirical results obtained demonstrate the effects of temperature on optical emissions through radiative recombination in semiconductor systems, highlighting distinct opto-quantum effects. Finally, an automated IoT-enabled workstation was developed to monitor and control critical optical system variables, including photodiodes, temperature controllers, and UVC radiation-emitting semiconductors. This system serves as a valuable educational tool for hands-on training in emerging technologies. Furthermore, the integration of IoT not only optimizes performance, enhances measurement visualization and data recording but also contributes new insights to the global research community on UV SSL and photonics. .