Application of state analysis technology to surveillance systems

Security systems, in terms of sensor measurements supplied to a computer data acquisition system, are functionally equivalent to a multitude of other process monitoring systems and, therefore, may be considered part of a generic class of surveillance systems. Characteristics of this generic class are that repeatable system states exist and that many of the system input signals are correlated. A proprietary mathematical technique which can learn from previous examples of system operation and monitor the consistency of current system operation has been developed and implemented in very efficient robust software and successfully applied to a variety of real surveillance systems. The mathematics and software together are referred to as the System State Analyzer (SSA), and have demonstrated an ability to detect faults in individual sensors, to separate false alarms from true events, and to provide accurate synthetic variables for a degraded system. The SSA has the potential to significantly enhance the effectivity of computer based security surveillance systems.