iMouse
iMouse is an integrated mobile surveillance and wireless sensor system. Wireless sensor networks (WSN) provide an inexpensive and convenient way to monitor physical environments. Traditional surveillance systems typically collect a large volume of videos from wallboard cameras, which require huge computation or manpower to analyze. Incorporating the environment-sensing capability of wireless sensor networks into video based surveillance systems provides advanced services at a lower cost than traditional systems. The iMouse's integrated mobile surveillance and easy to deploy wireless sensor system uses static and mobile wireless sensors to detect and then analyze unusual events in the environment. The iMouse system consists of a large number of inexpensive static sensors and a small number of more expensive mobile sensors. The former is to monitor the environment, while the latter can move to certain locations and gather more advanced data. The iMouse system is a mobile, context-aware surveillance system.
The three main components of the iMouse system architecture are (1) the static sensors, (2) the mobile sensors and (3) an external server. The system is set up so that the user could issue commands to the network through the server at which point the static sensors would monitor the environment and report events. When notified of an unusual event or change in behavior, the server notifies the user and dispatches the mobile sensors to move to the emergency sites, collect data and report.
SCOPE
iMouse can be used in various home security applications, surveillance, biological detection, emergency situations. The iMouse system combines two areas, WSN and surveillance technology, to support intelligent mobile
surveillance services. The mobile sensors can help improve the weakness of traditional WSN. On the other hand, the WSN provides context awareness and intelligence to the surveillance system. Therefore, the weakness of traditional “dumb” surveillance system is greatly improved because the real critical images/video sections can be retrieved and sent to users