Patents by Inventor Adam James Lawrence

Adam James Lawrence 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: 20240290098
    Abstract: In one embodiment, a device represents each of a plurality of objects depicted in video data captured by a plurality of cameras over time as a set of key points associated with that object. The device forms, for each of the plurality of objects, a set of timeseries of the set of key points associated with that object. The device performs reidentification of a particular one of the plurality of objects across video data captured by two or more of the plurality of cameras by matching sets of timeseries of key points associated with that object derived from video data captured by two or more of the plurality of cameras. The device provides an indication of the reidentification for display to a user.
    Type: Application
    Filed: February 23, 2023
    Publication date: August 29, 2024
    Inventors: Hugo Latapie, Gaowen LIU, Ozkan KILIC, Adam James LAWRENCE, Ramana Rao V. R. KOMPELLA
  • Publication number: 20240273948
    Abstract: In one embodiment, a device represents each of a plurality of objects depicted in video data over time as a set of timeseries of key points associated with that object. The device forms groups of objects based on their associated sets of timeseries. The device identifies an anomalous behavior of a particular group from among the groups of objects, based on their constituent timeseries of coordinate points. The device provides an alert regarding the anomalous behavior to a user interface for review.
    Type: Application
    Filed: February 9, 2023
    Publication date: August 15, 2024
    Inventors: Hugo Latapie, Gaowen LIU, Ozkan KILIC, Adam James LAWRENCE, Ramana Rao V.R. KOMPELLA
  • Publication number: 20240233136
    Abstract: In one embodiment, a device tracks an object in video data captured by one or more cameras. The device represents spatial characteristics of the object over time as one or more timeseries. The device associates different portions of the one or more timeseries with behavioral regimes of the object. The device provides a portion of the video data for display as part of an alert that is based on a rate of change of transitions between the behavioral regimes of the object.
    Type: Application
    Filed: October 21, 2022
    Publication date: July 11, 2024
    Inventors: Hugo Latapie, Ozkan KILIC, Adam James LAWRENCE, Gaowen LIU, Ramana Rao V. R. KOMPELLA
  • Publication number: 20240233377
    Abstract: In one embodiment, a device represents spatial characteristics over time of an object in video data as one or more timeseries. The device detects an event based on a rate of change of behavioral regimes associated with different portions of the one or more timeseries. The device selects contextual data for the event that comprises spatial timeseries information for different types of objects or different activities. The device provides an alert for the event to a user interface regarding the event that includes the contextual data.
    Type: Application
    Filed: October 21, 2022
    Publication date: July 11, 2024
    Inventors: Hugo Latapie, Ozkan Kilic, Adam James Lawrence, Gaowen Liu, Ramana Rao V. R. Kompella
  • Publication number: 20240211747
    Abstract: In one embodiment, a device receives, from a requestor, a request for a set of ground truth examples of a particular type to be used to train a machine learning model. The request includes context data regarding a location to be analyzed by the machine learning model. The device identifies, based on the request, the set of ground truth examples using a metamodel comprising a semantic reasoner and a sub-symbolic layer. The device associates labels with the set of ground truth examples. The device provides, to the requestor, the set of ground truth examples and their labels.
    Type: Application
    Filed: December 23, 2022
    Publication date: June 27, 2024
    Inventors: Hugo LATAPIE, Gaowen LIU, Ozkan KILIC, Adam James LAWRENCE, Ramana Rao V. R. KOMPELLA
  • Publication number: 20240212348
    Abstract: In one embodiment, a student agent identifies a topic of interest. The student agent issues a set of one or more questions to a teacher agent regarding the topic of interest. The student agent receives, from the teacher agent, answer data in response to the set of one or more questions. The student agent uses the answer data to generate a neuro-symbolic metamodel that comprises a semantic reasoner and a sub-symbolic layer.
    Type: Application
    Filed: December 22, 2022
    Publication date: June 27, 2024
    Inventors: Hugo Latapie, Gaowen Liu, Ozkan Kilic, Adam James Lawrence, Ramana Rao V. R. Kompella
  • Publication number: 20240161501
    Abstract: In one embodiment, a device represents spatial characteristics of an object depicted in video data over time as one or more timeseries. The device associates different portions of the one or more timeseries with behavioral regimes of the object. The device generates ground truth labels for frames of the video data based on changes in the behavioral regimes of the object associated with those frames. The device trains a self-supervised model to detect an event depicted in the video data using the ground truth labels and their associated frames.
    Type: Application
    Filed: November 14, 2022
    Publication date: May 16, 2024
    Inventors: Hugo Latapie, Ozkan KILIC, Adam James LAWRENCE, Gaowen LIU, Ramana Rao V. R. KOMPELLA
  • Publication number: 20240161496
    Abstract: In one embodiment, a device tracks objects in video data captured by one or more cameras in a location. The device represents spatial characteristics of the objects over time as timeseries. The device associates different portions of the timeseries with behavioral regimes of the objects. The device makes a determination that one of the objects is a reflection of another of the objects, based on a correlation between changes of their respective behavioral regimes.
    Type: Application
    Filed: November 15, 2022
    Publication date: May 16, 2024
    Inventors: Hugo Latapie, Ozkan KILIC, Adam James LAWRENCE, Gaowen LIU, Ramana Rao V. R. KOMPELLA
  • Publication number: 20240135546
    Abstract: In one embodiment, a device tracks an object in video data captured by one or more cameras. The device represents spatial characteristics of the object over time as one or more timeseries. The device associates different portions of the one or more timeseries with behavioral regimes of the object. The device provides a portion of the video data for display as part of an alert that is based on a rate of change of transitions between the behavioral regimes of the object.
    Type: Application
    Filed: October 20, 2022
    Publication date: April 25, 2024
    Inventors: Hugo Latapie, Ozkan KILIC, Adam James LAWRENCE, Gaowen LIU, Ramana Rao V. R. KOMPELLA
  • Publication number: 20240135709
    Abstract: In one embodiment, a device represents spatial characteristics over time of an object in video data as one or more timeseries. The device detects an event based on a rate of change of behavioral regimes associated with different portions of the one or more timeseries. The device selects contextual data for the event that comprises spatial timeseries information for different types of objects or different activities. The device provides an alert for the event to a user interface regarding the event that includes the contextual data.
    Type: Application
    Filed: October 20, 2022
    Publication date: April 25, 2024
    Inventors: Hugo Latapie, Ozkan Kilic, Adam James Lawrence, Gaowen Liu, Ramana Rao V. R. Kompella
  • Publication number: 20230196063
    Abstract: In one embodiment, a device obtains data regarding generation of an artificial intelligence model. The device analyzes the data using a neuro-symbolic metamodel, to match the data to one or more concepts of a knowledge graph of the neuro-symbolic metamodel. The device makes one or more inferences about the artificial intelligence model, by applying a semantic reasoning engine to the one or more concepts of the knowledge graph. The device causes, based on the one or more inferences, generation of a replacement artificial intelligence model for the artificial intelligence model.
    Type: Application
    Filed: December 21, 2021
    Publication date: June 22, 2023
    Inventors: Hugo Latapie, Ozkan Kilic, Adam James Lawrence, Gaowen Liu, Andrew Albert Pletcher
  • Publication number: 20230186626
    Abstract: In one embodiment, a device converts video data into a set of tracklets, each tracklet representing a different object depicted in the video data. The device identifies a particular object depicted in the video data as being an attractor or repulsor with respect to one or more other objects depicted in the video data, based on an analysis of their respective tracklets. The device makes, using a semantic reasoning engine, an inference about the video data, based in part on the particular object being identified as an attractor or repulsor. The device provides data based on the inference for display.
    Type: Application
    Filed: December 15, 2021
    Publication date: June 15, 2023
    Inventors: Hugo Latapie, Ozkan Kilic, Adam James Lawrence, Gaowen Liu, Andrew Albert Pletcher
  • Publication number: 20230179489
    Abstract: In one embodiment, a device provides information for display regarding an artificial intelligence metamodel that includes at least a symbolic layer and a sub-symbolic layer. The device receives an indication of a target node in a network to which the artificial intelligence metamodel is to be deployed. The device generates a modified version of the artificial intelligence metamodel based on resources available at the target node. The device deploys the modified version of the artificial intelligence metamodel for execution by the target node.
    Type: Application
    Filed: December 8, 2021
    Publication date: June 8, 2023
    Inventors: Hugo Latapie, Ozkan Kilic, Adam James Lawrence, Gaowen Liu, Andrew Albert Pletcher
  • Publication number: 20230169962
    Abstract: In one embodiment, a device identifies, using a semantic reasoning engine, activities in a location, based on sensor data obtained from a plurality of sensors deployed to the location. The device associates the activities with areas of the location in which they occurred. The device makes, using the semantic reasoning engine, an inference about a particular activity, based in part on where that activity occurred. The device raises, based on the inference, an alert regarding the particular activity.
    Type: Application
    Filed: November 30, 2021
    Publication date: June 1, 2023
    Inventors: Hugo Latapie, Ozkan Kilic, Adam James Lawrence, Gaowen Liu, Ramana Rao V. R. Kompella, Ali Payani
  • Publication number: 20230111581
    Abstract: In one embodiment, a device detects an object in an area based on sensor data generated by a plurality of sensors deployed to that area. The device uses a semantic reasoning engine to determine an appearance type of the object, based on the sensor data. The device uses the semantic reasoning engine to determine a behavioral type of the object, based on the sensor data. The device makes, using the semantic reasoning engine, a determination that the behavioral type of the object does not match the appearance type of the object. The device provides an indication of the determination for display.
    Type: Application
    Filed: October 7, 2021
    Publication date: April 13, 2023
    Inventors: Hugo Latapie, Ozkan KILIC, Adam James LAWRENCE, Gaowen LIU, Ramana Rao V. R. KOMPELLA
  • Publication number: 20230111262
    Abstract: In one embodiment, a device detects a particular activity from sensor data generated by one or more sensors in a sensor network. The device identifies, using a semantic reasoning engine, relevant preceding activities to the particular activity that are relevant to the particular activity. The device makes, using the semantic reasoning engine, an inference about the relevant preceding activities and the particular activity. The device provides an activity timeline for display that indicates the particular activity, the relevant preceding activities, and the inference about the relevant preceding activities and the particular activity.
    Type: Application
    Filed: October 7, 2021
    Publication date: April 13, 2023
    Inventors: Hugo LATAPIE, Ozkan KILIC, Adam James LAWRENCE, Gaowen LIU, Ramana Rao V. R. KOMPELLA, Vijoy Anand PANDEY
  • Publication number: 20230116423
    Abstract: In one embodiment, a device extracts a voice command from audio data captured by a microphone. The device uses a semantic reasoning engine, to determine a goal of the voice command. The device determines that the goal of the voice command is consistent with prior voice commands issued to the device. The device raises an alert when the goal of the voice command is inconsistent with prior voice commands issued to the device.
    Type: Application
    Filed: October 7, 2021
    Publication date: April 13, 2023
    Inventors: Hugo LATAPIE, Ozkan KILIC, Adam James LAWRENCE, Gaowen LIU, Ramana Rao V. R. KOMPELLA, Jayanth SRINIVASA
  • Publication number: 20230094800
    Abstract: In one embodiment, a device receives sensor data from a plurality of sensors. The device detects, using a semantic reasoning engine, a disruption to a first shipment based on the sensor data. The device infers, using the semantic reasoning engine, that one or more other shipments are related to the first shipment. The device initiates a mitigation action for the disruption that is performed with respect to the one or more other shipments.
    Type: Application
    Filed: September 27, 2021
    Publication date: March 30, 2023
    Inventors: Hugo Latapie, Ozkan Kilic, Adam James Lawrence, Gaowen Liu, Angelo Fienga, Enrico Albertin, Hazim Hashim Dahir
  • Publication number: 20230059673
    Abstract: In one embodiment, a device makes an inference about an event indicated by sensor data from a plurality of sources by applying a semantic reasoning engine to the sensor data. The device receives a selected semantic compression level from a user interface. The device selects a subset of the sensor data based on the inference and on the selected semantic compression level. The device exports the subset of the sensor data and the inference made by the semantic reasoning engine about the event.
    Type: Application
    Filed: August 23, 2021
    Publication date: February 23, 2023
    Inventors: Hugo Latapie, Ozkan Kilic, Adam James Lawrence, Gaowen Liu