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
Title of host publicationProceedings of CISBAT International Conference 2021, Journal of Physics: Conference Series
Publication date2021
Publication statusPublished - 2021
EventCISBAT 2021 - Lausanne, Switzerland
Duration: 8 Sep 202110 Sep 2021
https://cisbat.epfl.ch/call.html

Conference

ConferenceCISBAT 2021
CountrySwitzerland
CityLausanne
Period08/09/202110/09/2021
Internet address

Keywords

  • AI
  • Visual Comfort
  • Glare

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