Patents Assigned to SecureNet Solutions Group LLC
  • Patent number: 11929870
    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.
    Type: Grant
    Filed: May 3, 2022
    Date of Patent: March 12, 2024
    Assignee: SecureNet Solutions Group LLC
    Inventors: John J Donovan, Daniar Hussain
  • Publication number: 20220271989
    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.
    Type: Application
    Filed: May 3, 2022
    Publication date: August 25, 2022
    Applicants: SecureNet Solutions Group LLC, SecureNet Solutions Group LLC
    Inventors: John J Donovan, Daniar Hussain
  • Patent number: 11323314
    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.
    Type: Grant
    Filed: December 7, 2020
    Date of Patent: May 3, 2022
    Assignee: SecureNet Solutions Group LLC
    Inventors: John J Donovan, Daniar Hussain
  • Patent number: 10862744
    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.
    Type: Grant
    Filed: March 6, 2020
    Date of Patent: December 8, 2020
    Assignee: SecureNet Solutions Group LLC
    Inventors: John J Donovan, Daniar Hussain
  • Patent number: 10587460
    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.
    Type: Grant
    Filed: June 5, 2018
    Date of Patent: March 10, 2020
    Assignee: SecureNet Solutions Group LLC
    Inventors: John J Donovan, Daniar Hussain
  • Patent number: 10020987
    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.
    Type: Grant
    Filed: April 7, 2017
    Date of Patent: July 10, 2018
    Assignee: SecureNet Solutions Group LLC
    Inventors: John J Donovan, Daniar Hussain
  • Patent number: 9619984
    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.
    Type: Grant
    Filed: April 5, 2016
    Date of Patent: April 11, 2017
    Assignee: SecureNet Solutions Group LLC
    Inventors: John J Donovan, Daniar Hussain
  • Patent number: 9344616
    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.
    Type: Grant
    Filed: April 2, 2014
    Date of Patent: May 17, 2016
    Assignee: SecureNet Solutions Group LLC
    Inventors: John J Donovan, Daniar Hussain