Applications
Bushfire response:
A low cost distributed sensor network for environmental monitoring and disaster response. An integrated network of sensors combining on the ground sensors monitoring local moisture levels, humidity, wind speed and direction, together with satellite imagery and longer term meteorological forecasting will enable the determination of fire risk levels in targeted regions as well as valuable information on probable fire direction. Such a network will provide valuable understanding of bushfire development and most importantly assist authorities in organizing a coordinated disaster response that will save lives and property by providing early warning for high risk areas.
Intelligent transportation:
A comprehensive sensor network to revolutionize vehicle navigation and safety. A network of sensors throughout a vehicle will interact to provide as well as valuable feedback to the car driver on local road, weather and traffic conditions enabling adaptive drive systems to respond accordingly. This may involve automatic activation of braking systems or speed control via fuel management systems. Condition and event detection sensors can activate systems to maintain driver and passenger comfort and safety through the deployment of airbags and seatbelt pre-tensioning. Sensors for fatigue and mood monitoring based on driving conditions, driver behaviour and facial indicators can interact to ensure safe driving by activating warning systems or directly controlling the vehicle. A broad city-wide distributed sensor network indicating traffic flows and providing continually updating destination routing feedback to individual vehicles based on global and local information, combining GPS information with a cellular network.
Real-time health monitoring
A network of advanced bio-sensors developed using nano-technology to conduct point-of-care testing and diagnosis for a broad variety conditions. This technology will reduce delays in obtaining test results thus having a direct bearing patient recovery rates and particularly survival rates of trauma patients by enabling physicians to make a more rapid and accurate diagnosis and recommend the appropriate treatment. It may also enable testing and commencement of treatment in remote locations, as well as assist triage on location at accident or disaster sites.
Unmanned Aerial Vehicle for Surveillance
A sensor network for low cost unmanned air-borne vehicles (UAV) for use in defence applications such as surveillance in remote or hostile environments.
Vision system for autonomous UAVs:
Detecting, locating and tracking - Vision based self localisation and mapping, together with vision sensor background modelling and object recognition for highly complex and dynamic environments
Target location & identification by self-organising UAVs:
Coordination of distributed sensors, data fusion, sensor resource and energy management, and communication link control based on the concept of cooperating machines
Water catchment and eco-system monitoring
A network of sensors can be utilized to monitor water flows into catchment areas and areas where access is difficult or expensive. This information can be combined with other sensor networks providing information on water quality, soil condition, together with long term weather forecasting to assist with the equitable and efficient distribution of water for irrigation and environmental purposes. Similar technology can be utilized to provide and early warning system for flood prone regions, particularly flash flooding.
Robotic landmine detection
A sensor network for the detection and removal or deactivation of landmines. A reliable sensor network will enable the safe removal of landmines in former war zones, reducing the risk to those involved in the removal process. The cost effectiveness of the network will aid in the its application throughout third world nations where the after effects of war continue to take a toll on people living in areas still containing live explosives. The utilization of advanced sensor technology to detect explosives, will overcome difficulties in detection of un-encased landmines.
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