Dynamic Autonomous Identification and Intelligent Lighting of Moving Objects with Discomfort Glare Limitation
Sebastian Słomiński and
Magdalena Sobaszek
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Sebastian Słomiński: Lighting Technology Division, Electrical Power Engineering Institute, Warsaw University of Technology, 00-662 Warsaw, Poland
Magdalena Sobaszek: Lighting Technology Division, Electrical Power Engineering Institute, Warsaw University of Technology, 00-662 Warsaw, Poland
Energies, 2021, vol. 14, issue 21, 1-23
Abstract:
The importance of reducing discomfort glare during the dynamic development of high luminance LEDs is growing fast. Smart control systems also offer great opportunities to reduce electricity consumption for lighting purposes. Currently, dynamic “intelligent” lighting systems are a rapidly developing field. These systems, consisting of cameras and lighting units, such as moving heads or multimedia projectors, are powerful tools that provide a lot of opportunities. The aim of this research is to demonstrate the possibilities of using the projection light in dynamic lighting systems that enable the reduction of discomfort glare and the light pollution phenomenon. The proposed system allows darkening or reducing the luminance of some sensitive zones, such as the eyes or the head, in real-time. This paper explores the development of the markerless object tracking system. The precise identification of the position and geometry of objects and the human figure is used for dynamic lighting and mapping with any graphic content. Time measurements for downloading the depth maps, as well as for identifying the human body’s position and pose, have been performed. The analyses of the image transformation times have been carried out in relation to the resolution of the images displayed by the projector. The total computation time related to object detection and image display translates directly into the precision of fitting the projection image to a moving object and has been shown.
Keywords: discomfort glare; dynamic lighting; dynamic projection mapping; markerless object tracking (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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