O Icoglu & A Mahdavi
A vision-based sensing system for sentient building models
Abstract: 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.
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