(Before It's News)
What if an airline seat could tell who might be a terrorist or if the person next to you is sick with an
infectious disease. That could soon be a reality.
The Boeing Company has developed what it calls the "Structure and Systems Health Monitoring System" (SSHMS) which are systems for passenger monitoring and a system control that uses nano-sensors near passenger seats to detect disease, possible explosives and other hazards. The sensor system comprises a sensor that includes a carbon-based nano-structure. The sensor exhibits an electronic property that varies in response to a presence of a predetermined molecule. The system earned U.S. Patent 7,864,039.
This architecture creates a record of the environment and/or the biometrics of one or more passengers on the airplane during flight. These records may be used to construct correlations between the interaction of passengers during the flight-environment and passenger response to the environment and a real-time or subsequent review of system performance. From this integrated data set, algorithms are dynamically adjusted and/or new algorithms constructed that provide input to design improvements and passenger attention and security procedures.
Passenger monitoring using Structure and Systems Health Monitoring System (SSHMS) includes a large number of distributed sensor systems communicatively coupled into a network or a plurality of interconnected networks. Such a sensor network improves the situational awareness of the passenger and vehicle interior state that includes monitored passenger condition and environment proximate each passenger or group of passengers. However, the large number of sensors within the vehicle requires data from these disparate and heterogeneous sensors to be processed and combined intelligently to determine a clear and unambiguous view of the passengers' state that is temporally relevant for security and comfort decision support systems.
Passenger monitoring using Structure and Systems Health Monitoring System (SSHMS) includes a large number of distributed sensor systems communicatively coupled into a network or a plurality of interconnected networks. Such a sensor network improves the situational awareness of the passenger and vehicle interior state that includes monitored passenger condition and environment proximate each passenger or group of passengers. However, the large number of sensors within the vehicle requires data from these disparate and heterogeneous sensors to be processed and combined intelligently to determine a clear and unambiguous view of the passengers' state that is temporally relevant for security and comfort decision support systems.
The system of sensors exhibits a property that varies in response to a presence of a predetermined substance that is at least one of a substance of human origin, a substance indicative of the presence of a microbe associated with human illness, a substance prohibited to be carried on the vehicle by a passenger, a radioactive substance, and a substance of a product of combustion or pyrolysis.
The nanosensors system can detect substance of human origin such as a pheromone, a hormone, a substance exhaled from the lungs, a substance secreted through the skin.
The system can detect substances indicative of the presence of a microbe associated with human illness comprises at least one of anthrax, avian flu, Ebola, Hepatitis B, mumps, measles, chicken pox, small pox and other airborne contagions.
The system can detect a substance that is prohibited to be carried on the vehicle by a passenger such as an explosive substance, a flammable substance, a corrosive substance, a chemically reactive substance, and a gas or airborne particulate that is adverse to human health or comfort.
The system includes at least one sensor system configured to monitor an environment immediately surrounding the respective passenger and biometrics of the respective passenger and generate sensor data indicative of a state of the passenger.
The system also includes a processing system configured to receive the sensor data. The processing system includes an ontology and reasoning module configured to model passengers, and reason about the received sensor data associated with the passengers. The processing system also includes a contextual analyzer configured to transmit the received sensor data to the ontology and reasoning module and to store the information into a contextual information database.



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