Architectural Improvements for Mobile Ubiquitous Surveillance Systems
1University of Oulu, Faculty of Science, Department of Information Processing Science
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|Publish Date:|| 2008-11-19
|Thesis type:||Doctoral Dissertation
|Defence Note:||Academic Dissertation to be presented with the assent of the Faculty of Science, University of Oulu, for public discussion in Auditorium IT 116, Linnanmaa, on the 28th of November, 2008, at 12 p.m.
Professor Jorma Jormakka
Professor Yoshitsugu Manabe
Professor Huaikou Miao
Professor Petri Pulli
Surveillance systems have begun to be integrated into the common lives of humans and improved surveillance systems will spread even further. Systems manufacturers will continue to provide powerful surveillance systems with different aspects from single sensors to an abundance of different intelligent sensors. These different devices will have the ability to deliver a large variety of information to either remote or local surveillance personnel for immediate utilization or for extracting information about occurred events. The objective of this dissertation is to analyse the reduction of excessive information delivered to security personnel and the immediate delivery of essential alarms to security personnel by refining a design of a distributed multi-sensor intelligent surveillance system. The surveillance system created is reflected against the mobile and ubiquitous requirements of the end users of the surveillance system. The mobile requirement contains the reduction of excessive information distributed to the end user, a.k.a., the service personnel. The ubiquitous requirement consists of sensor data fusion and situation deduction. This dissertation uses a constructive research method, in which the results are validated by technical implementation and experimentation against mobile and ubiquitous requirements.
The major results of this dissertation are the prototype implementations of the Single Location Surveillance Point (SLSP) system. It consists of a selective amount of sensors that collect readings from a single location, which is the surveillance point. Each sensor transmits its crude sensor data to a session server, which handles the connections between the components. The session server routes the crude sensor information to the logical decision making service. The logical decision making server automatically deducts the situation at the surveillance point based on the received sensor information. The logical decision making server informs the security manager server of the situation at the surveillance point. The security manager server's user interface displays essential information about the surveillance point to a human security administrator. The security manager server can transmit information to the nomadic security personnel's smart phones over wireless networks.
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