Patents by Inventor Colin Bodbyl

Colin Bodbyl has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20230021850
    Abstract: A technique is introduced for utilizing data associated with a monitored premises to determine a likelihood of a crime, or other activity, occurring at the premises. In an example embodiment, premises data is received from one or more sources including sensor devices located at the premises and other data sources including third-party databases. The premises data is processed using a machine learning model, such as an artificial neural network, to generate a risk score that is indicative of the likelihood of a crime occurring at the premises in real-time or in the future. The introduced technique for risk evaluation can be implemented in conjunction with a premises security system, for example, to route alarms generated by monitoring devices located at the premises.
    Type: Application
    Filed: October 4, 2022
    Publication date: January 26, 2023
    Inventors: Colin Bodbyl, Jason Penny, David Giudice
  • Patent number: 11475672
    Abstract: A technique is introduced for utilizing data associated with a monitored premises to determine a likelihood of a crime, or other activity, occurring at the premises. In an example embodiment, premises data is received from one or more sources including sensor devices located at the premises and other data sources including third-party databases. The premises data is processed using a machine learning model, such as an artificial neural network, to generate a risk score that is indicative of the likelihood of a crime occurring at the premises in real-time or in the future. The introduced technique for risk evaluation can be implemented in conjunction with a premises security system, for example, to route alarms generated by monitoring devices located at the premises.
    Type: Grant
    Filed: July 12, 2019
    Date of Patent: October 18, 2022
    Assignee: Stealth Monitoring, Inc.
    Inventors: Colin Bodbyl, Jason Penny, David Del Giudice
  • Publication number: 20210012115
    Abstract: A technique is introduced for utilizing data associated with a monitored premises to determine a likelihood of a crime, or other activity, occurring at the premises. In an example embodiment, premises data is received from one or more sources including sensor devices located at the premises and other data sources including third-party databases. The premises data is processed using a machine learning model, such as an artificial neural network, to generate a risk score that is indicative of the likelihood of a crime occurring at the premises in real-time or in the future. The introduced technique for risk evaluation can be implemented in conjunction with a premises security system, for example, to route alarms generated by monitoring devices located at the premises.
    Type: Application
    Filed: July 12, 2019
    Publication date: January 14, 2021
    Inventors: Colin Bodbyl, Jason Penny, David Del Giudice