Abstrakt

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.
OriginalsprogEngelsk
Artikelnummer012008
BogserieJournal of Physics: Conference Series (Online)
Vol/bind2042
Udgave nummer1
ISSN1742-6596
DOI
StatusUdgivet - 2021
BegivenhedCISBAT 2021 - Lausanne, Virtual, Schweiz
Varighed: 8 sep. 202110 sep. 2021
https://cisbat.epfl.ch/call.html

Konference

KonferenceCISBAT 2021
Land/OmrådeSchweiz
ByLausanne, Virtual
Periode08/09/202110/09/2021
Internetadresse

Emneord

  • AI
  • Visual Comfort
  • Glare
  • Machine Learning

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Citationsformater