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The WiseNET system is a semantic-based real-time reasoning system, that fuses different sources of data and is expected to overcomes limitations of multi-camera based system. The WiseNET system selects relevant information from the video streams and adds contextual information to overcome problems of miss- ing information due to false/missed detections. Ad- ditionally, it relates events that occurred at different times, without human interaction. It also protects the user’s privacy by not sending nor saving any image, just extracting the knowledge from them. It may as well, reconfigure the smart camera network according to the inferred knowledge. In few words, the WiseNET system enables interoperability of information from different domains such as the built environment, event information and information coming from the smart camera network. A future goal of the WiseNET system is to offer services to building users according to information coming from a network of sensors deployed on the built environment and contextual information. This is a highly complex task due to the large scope of the building system, that goes from the static physical structure of the built environment to the internal environment in terms of the dynamic building users and the way how they interact with the building facilities.
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