Abstract

Glare is a common local visual discomfort that is difficult to identify with conventional light sensors. This article presents an artificial intelligence algorithm that detects subjective local glare discomfort from the image analysis of the video footage of an office occupant’s face. The occupant’s face is directly used as a visual comfort sensor. Results show that it can recognize glare discomfort with around 90% accuracy. This algorithm can thus be at the basis of an efficient feedback control system to regulate shading devices in an office building.
Original languageEnglish
Article number012008
Book seriesJournal of Physics: Conference Series (Online)
Volume2042
Issue number1
ISSN1742-6596
DOIs
Publication statusPublished - 2021
EventCISBAT 2021 - Lausanne, Virtual, Switzerland
Duration: 8 Sep 202110 Sep 2021
https://cisbat.epfl.ch/call.html

Conference

ConferenceCISBAT 2021
Country/TerritorySwitzerland
CityLausanne, Virtual
Period08/09/202110/09/2021
Internet address

Keywords

  • AI
  • Visual Comfort
  • Glare
  • Machine Learning

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