Multi-channel low-cost light spectrum measurement using a multilayer perceptron

J. S. Botero-Valencia, J. Valencia-Aguirre, D. Durmus, W. Davis

Research output: Contribution to journalArticlepeer-review

23 Scopus citations


Light is one of the most important elements for residential and work spaces, which affects visual performance, comfort, productivity and well-being. The measures that quantify the characteristics of a light source are derived directly from the spectral power distribution (SPD). In addition the SPD is an important factor influencing the quality of a light source. However, measuring light source spectrum with traditional spectrometers is expensive, difficult to adapt to normal spaces, and hard to integrate with other systems. To address these challenges, a low-cost spectrometer was developed using an Artificial Neural Network, with a resolution of 5 nm in the visible spectrum. The reconstructed SPD has an error lower than 2% and allows the derivation of measurements to characterize the colour quality of light sources. Additionally, the device has wireless communication (Bluetooth and Wi-Fi) in real time, which allows integration into lighting control applications and other Internet of things (IoT) applications.

Original languageEnglish (US)
Pages (from-to)579-587
Number of pages9
JournalEnergy and Buildings
StatePublished - Sep 15 2019

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Building and Construction
  • Mechanical Engineering
  • Electrical and Electronic Engineering


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