Patents Assigned to Ambient AI, Inc.
  • Systems and methods for machine learning enhanced intelligent building access endpoint security monitoring and management
    Patent number: 11861002
    Abstract: Systems and methods for correlating access-system primitives generated by an access control system and semantic primitives generated by a sensor data comprehension system.
    Type: Grant
    Filed: February 19, 2023
    Date of Patent: January 2, 2024
    Assignee: Ambient AI, Inc.
    Inventors: Shikhar Shrestha, Vikesh Khanna, James Douglas Connor
  • Systems and methods for machine learning enhanced intelligent building access endpoint security monitoring and management
    Patent number: 11640462
    Abstract: Systems and methods for correlating access-system primitives generated by an access control system and semantic primitives generated by a sensor data comprehension system.
    Type: Grant
    Filed: August 3, 2022
    Date of Patent: May 2, 2023
    Assignee: Ambient AI, Inc.
    Inventors: Shikhar Shrestha, Vikesh Khanna, James Douglas Connor
  • Systems and methods for machine learning enhanced intelligent building access endpoint security monitoring and management
    Patent number: 11443515
    Abstract: Systems and methods for correlating access-system primitives generated by an access control system and semantic primitives generated by a sensor data comprehension system.
    Type: Grant
    Filed: November 26, 2019
    Date of Patent: September 13, 2022
    Assignee: Ambient AI, Inc.
    Inventors: Shikhar Shrestha, Vikesh Khanna, James Douglas Connor
  • Systems and methods for machine learning-based site-specific threat modeling and threat detection
    Patent number: 11195067
    Abstract: A surveillance system is coupled to a plurality of sensor data sources arranged at locations within a plurality of regions of a site under surveillance. The surveillance system accesses a threat model that identifies contextual events classified as threats. The surveillance system identifies at least one contextual event for a site in real-time by processing sensor data generated by the sensor data sources, and co-occurring contextual data for at least one of the regions. Each identified contextual event is classified as one of a threat and a non-threat by using the threat model.
    Type: Grant
    Filed: November 26, 2019
    Date of Patent: December 7, 2021
    Assignee: Ambient AI, Inc.
    Inventors: Shikhar Shrestha, Vikesh Khanna
  • Systems and methods for intelligent and interpretive analysis of sensor data and generating spatial intelligence using machine learning
    Patent number: 11113565
    Abstract: Systems and methods for augmenting real-time semantic information to a spatial rendering of a predefined space and providing a real-time situational awareness feed.
    Type: Grant
    Filed: March 12, 2020
    Date of Patent: September 7, 2021
    Assignee: Ambient AI, Inc.
    Inventors: Shikhar Shrestha, Vikesh Khanna
  • Systems and methods for intelligent and interpretive analysis of sensor data and generating spatial intelligence using machine learning
    Patent number: 10628706
    Abstract: Systems and methods for augmenting real-time semantic information to a spatial rendering of a predefined space and providing a real-time situational awareness feed.
    Type: Grant
    Filed: May 10, 2019
    Date of Patent: April 21, 2020
    Assignee: Ambient AI, Inc.
    Inventors: Shikhar Shrestha, Vikesh Khanna
  • Systems and methods for intelligent and interpretive analysis of video image data using machine learning
    Patent number: 10546197
    Abstract: A system and method for implementing a machine learning-based system for generating event intelligence from video image data that: collects input of the live video image data; detects coarse features within the live video image data; constructs a coarse feature mapping comprising a mapping of the one or more coarse features; receives input of the coarse feature mapping at each of a plurality of distinct sub-models; identify objects within the live video image data based on the coarse feature mapping; identify one or more activities associated with the objects within the live video image data; identify one or more interactions between at least two of the objects within the live video image data based at least on the one or more activities; composes natural language descriptions based on the one or more activities associated with the objects and the one or more interactions between the objects; and constructs an intelligence augmented live video image data.
    Type: Grant
    Filed: September 21, 2018
    Date of Patent: January 28, 2020
    Assignee: Ambient AI, Inc.
    Inventors: Shikhar Shrestha, Vikesh Khanna