Paper title: | A vision-based sensing system for sentient building models |
Authors: | O Icoglu & A Mahdavi |
Summary: | The quality and cost effectiveness of services in the building industry possess high potential for improvement. A possible approach to bringing out this potential is to conceive buildings as sentient entities that continuously adapt to changes in environment and occupancy. To achieve real-time building operation support and to avoid bottleneck situations resulting from manual model input and updating activities, the underlying model must possess the capability to autonomously update itself. This requires a versatile sensing mechanism that provides real-time facility state information. The research described in this paper aims to demonstrate the potential of vision-based sensing solutions to support the operations of sentient buildings. Toward this end, a system prototype has been implemented that focuses on building systems control (lighting). The resulting arrangement of required hardware and software components (tied together via internet) provides a flexible and self-adapting structure, which is highly suited to the requirements of control applications for sentient buildings. |
Type: | normal paper |
Year of publication: | 2005 |
Series: | w78:2005 |
ISSN: | 2706-6568 |
Download paper: | /pdfs/w78-2005-A7-2-Icoglu.pdf |
Citation: | O Icoglu & A Mahdavi (2005). A vision-based sensing system for sentient building models. (ISSN: 2706-6568), http://itc.scix.net/paper/w78-2005-a7-2-icoglu |