Abstract: Monitoring systems and methods for use in security, safety, and business process applications utilizing a correlation engine are disclosed. Sensory data from one or more sensors are captured and analyzed to detect one or more events in the sensory data. The events are correlated by a correlation engine, optionally by weighing the events based on attributes of the sensors that were used to detect the primitive events. The events are then monitored for an occurrence of one or more correlations of interest, or one or more critical events of interest. Finally, one or more actions are triggered based on a detection of one or more correlations of interest, one or more anomalous events, or one or more critical events of interest. A hierarchical storage manager, having access to a hierarchy of two or more data storage devices, is provided to store data from the one or more sensors.

Abstract: Monitoring systems and methods for use in security, safety, and business process applications utilizing a correlation engine are disclosed. Sensory data from one or more sensors are captured and analyzed to detect one or more events in the sensory data. The events are correlated by a correlation engine, optionally by weighing the events based on attributes of the sensors that were used to detect the primitive events. The events are then monitored for an occurrence of one or more correlations of interest, or one or more critical events of interest. Finally, one or more actions are triggered based on a detection of one or more correlations of interest, one or more anomalous events, or one or more critical events of interest. A hierarchical storage manager, having access to a hierarchy of two or more data storage devices, is provided to store data from the one or more sensors.

Abstract: Monitoring systems and methods for use in security, safety, and business process applications utilizing a correlation engine are disclosed. Sensory data from one or more sensors are captured and analyzed to detect one or more events in the sensory data. The events are correlated by a correlation engine, optionally by weighing the events based on attributes of the sensors that were used to detect the primitive events. The events are then monitored for an occurrence of one or more correlations of interest, or one or more critical events of interest. Finally, one or more actions are triggered based on a detection of one or more correlations of interest, one or more anomalous events, or one or more critical events of interest. A hierarchical storage manager, having access to a hierarchy of two or more data storage devices, is provided to store data from the one or more sensors.

Abstract: Monitoring systems and methods for use in security, safety, and business process applications utilizing a correlation engine are disclosed. Sensory data from one or more sensors are captured and analyzed to detect one or more events in the sensory data. The events are correlated by a correlation engine, optionally by weighing the events based on attributes of the sensors that were used to detect the primitive events. The events are then monitored for an occurrence of one or more correlations of interest, or one or more critical events of interest. Finally, one or more actions are triggered based on a detection of one or more correlations of interest, one or more anomalous events, or one or more critical events of interest. A hierarchical storage manager, having access to a hierarchy of two or more data storage devices, is provided to store data from the one or more sensors.

Abstract: Monitoring systems and methods for use in security, safety, and business process applications utilizing a correlation engine are disclosed. Sensory data from one or more sensors are captured and analyzed to detect one or more events in the sensory data. The events are correlated by a correlation engine, optionally by weighing the events based on attributes of the sensors that were used to detect the primitive events. The events are then monitored for an occurrence of one or more correlations of interest, or one or more critical events of interest. Finally, one or more actions are triggered based on a detection of one or more correlations of interest, one or more anomalous events, or one or more critical events of interest. Events may come from sensory devices, legacy systems, third-party systems, anonymous tips, and other data sources. The present invention may be used to increase business productivity by improving security, safety, and increasing profitability of business processes.

Abstract: Monitoring systems and methods for use in security, safety, and business process applications utilizing a correlation engine are disclosed. Sensory data from one or more sensors are captured and analyzed to detect one or more events in the sensory data. The events are correlated by a correlation engine, optionally by weighing the events based on attributes of the sensors that were used to detect the primitive events. The events are then monitored for an occurrence of one or more correlations of interest, or one or more critical events of interest. Finally, one or more actions are triggered based on a detection of one or more correlations of interest, one or more anomalous events, or one or more critical events of interest. Events may come from sensory devices, legacy systems, third-party systems, anonymous tips, and other data sources. The present invention may be used to increase business productivity by improving security, safety, and increasing profitability of business processes.

Abstract: Monitoring systems and methods for use in security, safety, and business process applications utilizing a correlation engine are disclosed. Sensory data from one or more sensors are captured and analyzed to detect one or more events in the sensory data. The events are correlated by a correlation engine, optionally by weighing the events based on attributes of the sensors that were used to detect the primitive events. The events are then monitored for an occurrence of one or more correlations of interest, or one or more critical events of interest. Finally, one or more actions are triggered based on a detection of one or more correlations of interest, one or more anomalous events, or one or more critical events of interest. Events may come from sensory devices, legacy systems, third-party systems, anonymous tips, and other data sources. The present invention may be used to increase business productivity by improving security, safety, and increasing profitability of business processes.

Abstract: Monitoring systems and methods for use in security, safety, and business process applications utilizing a correlation engine are disclosed. Sensory data from one or more sensors are captured and analyzed to detect one or more events in the sensory data. The events are correlated by a correlation engine, optionally by weighing the events based on attributes of the sensors that were used to detect the primitive events. The events are then monitored for an occurrence of one or more correlations of interest, or one or more critical events of interest. Finally, one or more actions are triggered based on a detection of one or more correlations of interest, one or more anomalous events, or one or more critical events of interest. Events may come from sensory devices, legacy systems, third-party systems, anonymous tips, and other data sources. The present invention may be used to increase business productivity by improving security, safety, and increasing profitability of business processes.

Abstract: Monitoring systems and methods for use in security, safety, and business process applications utilizing a correlation engine are disclosed. Sensory data from one or more sensors are captured and analyzed to detect one or more events in the sensory data. The events are correlated by a correlation engine, optionally by weighing the events based on attributes of the sensors that were used to detect the primitive events. The events are then monitored for an occurrence of one or more correlations of interest, or one or more critical events of interest. Finally, one or more actions are triggered based on a detection of one or more correlations of interest, one or more anomalous events, or one or more critical events of interest. Events may come from sensory devices, legacy systems, third-party systems, anonymous tips, and other data sources. The present invention may be used to increase business productivity by improving security, safety, and increasing profitability of business processes.

Abstract: Monitoring systems and methods for use in security, safety, and business process applications utilizing a correlation engine are disclosed. Sensory data from one or more sensors are captured and analyzed to detect one or more events in the sensory data. The events are correlated by a correlation engine, optionally by weighing the events based on attributes of the sensors that were used to detect the primitive events. The events are then monitored for an occurrence of one or more correlations of interest, or one or more critical events of interest. Finally, one or more actions are triggered based on a detection of one or more correlations of interest, one or more anomalous events, or one or more critical events of interest. Events may come from sensory devices, legacy systems, third-party systems, anonymous tips, and other data sources. The present invention may be used to increase business productivity by improving security, safety, and increasing profitability of business processes.

Abstract: Monitoring systems and methods for use in security, safety, and business process applications utilizing a correlation engine are disclosed. Sensory data from one or more sensors are captured and analyzed to detect one or more events in the sensory data. The events are correlated by a correlation engine, optionally by weighing the events based on attributes of the sensors that were used to detect the primitive events. The events are then monitored for an occurrence of one or more correlations of interest, or one or more critical events of interest. Finally, one or more actions are triggered based on a detection of one or more correlations of interest, one or more anomalous events, or one or more critical events of interest. Events may come from sensory devices, legacy systems, third-party systems, anonymous tips, and other data sources. The present invention may be used to increase business productivity by improving security, safety, and increasing profitability of business processes.

Abstract: Monitoring systems and methods for use in security, safety, and business process applications utilizing a correlation engine are disclosed. Sensory data from one or more sensors are captured and analyzed to detect one or more events in the sensory data. The events are correlated by a correlation engine, optionally by weighing the events based on attributes of the sensors that were used to detect the primitive events. The events are then monitored for an occurrence of one or more correlations of interest, or one or more critical events of interest. Finally, one or more actions are triggered based on a detection of one or more correlations of interest, one or more anomalous events, or one or more critical events of interest. Events may come from sensory devices, legacy systems, third-party systems, anonymous tips, and other data sources. The present invention may be used to increase business productivity by improving security, safety, and increasing profitability of business processes.

Abstract: The present invention is a correlation engine for use in security, safety, and business monitoring applications. Sensory data from one or more sensors are captured and analyzed to detect one or more events in the sensory data. The events are correlated by the correlation engine by weighing the events based on attributes of the sensors that were used to detect the primitive events. The events are then monitored for an occurrence of one or more correlations of interest. Finally, one or more actions are triggered based on a detection of one or more anomalous events or events of interest. Events may come from sensory devices, legacy systems, third-party systems, anonymous tips, and other data sources. The present invention may be used to increase business productivity by improving security, safety, and increasing profitability of business processes.

Abstract: The present invention is a correlation engine for use in security, safety, and business monitoring applications. Sensory data from one or more sensors are captured and analyzed to detect one or more events in the sensory data. The events are correlated by the correlation engine by weighing the events based on attributes of the sensors that were used to detect the primitive events. The events are then monitored for an occurrence of one or more correlations of interest. Finally, one or more actions are triggered based on a detection of one or more anomalous events or events of interest. Events may come from sensory devices, legacy systems, third-party systems, anonymous tips, and other data sources. The present invention may be used to increase business productivity by improving security, safety, and increasing profitability of business processes.

Abstract: The present invention is a process monitoring method, comprising the steps of capturing sensory data from one or more sensors; storing the sensory data from the one or more sensors in a data storage device; processing the sensory data from the sensors to detect primitive events in the sensory data; correlating two or more primitive events to determine one or more correlated events; and performing one or more actions based on the correlation performed in the correlating step, including sending alerts to recipients in a company's hierarchy. The process monitoring method can be used with a variety of sensors, including temperature, pressure, revolutions per minute, electrical meters, altitude meters, and speedometers, and can accept input from a variety of legacy systems, including financial systems, inventory systems, personnel systems, currency systems, and law enforcement databases. The invention can be used to optimize business processes and ensure safety and security procedures are followed.

Abstract: Disclosed is a portable interactive modular selling room that recreates the home environment in a retail business location to help educate the user for sales and training purposes. The plug and play selling system utilizes standard electrical connectors to allow for seamless integration within a store without the need of electricians or construction contractors. Encompassing all five senses in an interactive environment develops an intellectual and emotional connection with the user which allows the product implementation to demonstrate features and value in a more meaningful and engaging manner over traditional retail environments. The computer system implemented inside of the system encompasses an interaction engine which utilizes sensors and monitoring equipment to record and analyze the user to provide real-time responses and also feedback to a central database for future interaction development.

Abstract: The present invention is a method to ensure business processes are followed, comprising the steps of capturing sensory data from one or more sensors; storing the sensory data from the one or more sensors in a data storage device; processing the sensory data from the sensors to detect primitive events in the sensory data using a computer processor; correlating two or more primitive events, weighted by attribute data representing information about the sensors used to sense the primitive events, to determine one or more correlated events using the computer processor; and performing one or more actions to ensure business processes are followed based on the correlation performed in the correlating step.

Abstract: The present invention is a video surveillance, storage, and alerting system having the following components. One or more surveillance cameras capture video data having attribute data, the attribute data representing importance of the surveillance cameras. One or more video analytics devices process the video data from one or more of the surveillance cameras and detect primitive video events in the video data. A network management module monitors network status of the surveillance cameras, and the video analytics devices, and generates network events reflective of the network status of all subsystems. A correlation engine correlates two or more primitive video events from the video analytics devices weighted by the attribute data of the surveillance cameras used to capture the video data, and network events from the network management module weighted by attribute data of device corresponding to the network event.

Abstract: One embodiment of the present invention is a system comprising one or more subsystems, which can be practiced alone or in combination, which together allow for monitoring of groundwater, rock, and casing for production flow and leakage of hydrocarbon fluids. A flow measurement subsystem measures flow of hydrocarbons in the horizontal casing string. A well mechanical integrity monitoring subsystem monitors the mechanical integrity of the natural gas production well, including the junctures of a completed well. An aquifer monitoring subsystem directly monitors water aquifer(s) underneath and surrounding a natural gas production well or pad, including monitoring wells or existing water wells. A communication subsystem is used to communicate measurements taken downhole to the surface. The present invention may be used to enhance the production from a gas bearing shale formation, mitigate liability associated with hydrocarbon migration, and monitor for a loss of mechanical integrity of a well.

Abstract: The present invention is a safety and business productivity system having the following components. One or more cameras capture video data having attribute data, the attribute data representing importance of the cameras. One or more video analytics devices process the video data from one or more of the cameras and detect primitive video events in the video data. A correlation engine correlates two or more primitive video events from the video analytics devices weighted by the attribute data of the cameras used to capture the video data. An alerting engine generates one or more alerts and performs one or more actions based on the correlation performed by the correlation engine.