Automatically associating security policy with a user on video based on Wi-Fi data
AssigneeFortinet, Inc.
InventorAldo Di Mattia
Life of this patent
Estimating the term…
Abstract
An area on video is monitored that overlaps a radio range of an access point on the data communication network. Failure to identify a person currently within the Wi-Fi area and shown on video is detected. Parallel Wi-Fi parameters for a device associated with the person in the video, including a group identification assigned to the person is received. The parallel Wi-Fi parameters are used to identify the person. A machine learning module, or other image recognition system, can be updated with images to build a machine learning recognition model from a history of images associating the identified person. Finally, a surveillance security policy of the identified group is associated with the identified person.
Claims20
A computer-implemented method in a video surveillance system, on a data communication network, for automatically associating a surveillance security policy with a user on video based on Wi-Fi data, the method comprising:
- monitoring an area with a video camera that overlaps a radio range of an access point on the data communication network;
- failing to identify a person currently within the area and shown on video;
- receiving Wi-Fi parameters for a device associated with the person in the video, including a group identification assigned to the person;
- receiving, from a network device, an identification of the person generated using the Wi-Fi parameters for the device associated with the person in the video;
- receiving, from the video camera, one or more images of the person for storage for future identifications;
- building a machine learning recognition model from a history of images associated with the identified person;
- and
- automatically associating a surveillance security policy of the identified group with the identified person currently shown on video.
A non-transitory computer-readable medium in a video surveillance system, on a data communication network, storing code that when executed, performs a method for automatically associating a surveillance security policy with a user on video based on Wi-Fi data, the method comprising:
- monitoring an area with a video camera that overlaps a radio range of an access point on the data communication network;
- failing to identify a person currently within the area and shown on video;
- receiving Wi-Fi parameters for a device associated with the person in the video, including a group identification assigned to the person;
- receiving, from a network device, an identification of the person generated using the Wi-Fi parameters for the device associated with the person in the video;
- receiving, from the video camera, one or more images of the person for storage for future identifications;
- building a machine learning recognition model from a history of images associated with the identified person;
- and
- automatically associating a surveillance security policy of the identified group with the identified person currently shown on video.
A video surveillance system, on a data communication network, for automatically associating a surveillance security policy with a user on video based on Wi-Fi data, the video surveillance system comprising:
- a processor;
- a network interface communicatively coupled to the processor and to a data communication network;
- and
- a memory, communicatively coupled to the processor and storing:
- a video module to monitor an area on video that overlaps a radio range of an access point on the data communication network;
- a presence detector to fail to identify a person currently within the area and shown on video,
- wherein the presence detector receives Wi-Fi parameters for a device associated with the person in the video, including a group identification assigned to the person,
- wherein the presence detector to receive, from a network device, an identification of the person generated using the Wi-Fi parameters and to receive, from the video camera, one or more images of the person to storage for future identifications;
- a machine learning module to build a machine learning recognition model from a history of images associating the identified person;
- and
- a surveillance security policy module to automatically associate a surveillance security policy of the identified group with the identified person.
Dependencies are inferred from the claim text.