Patents Assigned to Insight, Inc.
  • Publication number: 20230194756
    Abstract: A method, system, and computer program product for resource management are described. The method includes selecting trouble regions within the service area, generating clustered regions, and training a trouble forecast model for the trouble regions for each type of damage, the training for each trouble region using training data from every trouble region within the clustered region associated with the trouble region. The method also includes applying the trouble forecast model for each trouble region within the service area for each type of damage, determining a trouble forecast for the service area for each type of damage based on the trouble forecast for each of the trouble regions within the service area, and determining a job forecast for the service area based on the trouble forecast for the service area, wherein the managing resources is based on the job forecast for the service area.
    Type: Application
    Filed: February 10, 2023
    Publication date: June 22, 2023
    Applicant: Utopus Insights, Inc.
    Inventors: Fook-Luen Heng, Zhiguo Li, Stuart A. Siegel, Amith Singhee, Haijing Wang
  • Patent number: 11683238
    Abstract: A system and method of managing a network with assets are described. The method includes generating a directed graph with each of the assets represented as a node, determining individual failure probability of each node, computing downstream failure probability of each node according to an arrangement of the nodes in the directed graph, computing upstream failure probability of each node according to the arrangement of the nodes in directed graph, and computing network failure probability for each node based on the corresponding individual failure probability, the downstream failure probability, and the upstream failure probability. Managing the network is based on the network failure probability of the assets.
    Type: Grant
    Filed: August 20, 2019
    Date of Patent: June 20, 2023
    Assignee: Utopus Insights, Inc.
    Inventors: Aanchal Aggarwal, Younghun Kim, Tarun Kumar, Mark A. Lavin, Giuliano Andrea Pagani, Abhishek Raman
  • Publication number: 20230176138
    Abstract: A method may comprise storing a first service provider record associated with a first project located at a first geographic location, receiving a request for project identifiers located within a section of a geographic area, providing a subset of the first set of the one or more project identifiers to be displayed on a second map the first user device, receiving a selected project of the project identifiers, providing a project page indicating categorical identifiers associated with the first project indicating at least some work performed, a link to at least one service professional's profile page, an opinion review and an insight review, receiving a selection of the link to the at least one service professional's profile page, and providing, a profile page of the at least one service professional, the profile page including contact information of the at least one service professional.
    Type: Application
    Filed: January 30, 2023
    Publication date: June 8, 2023
    Applicant: Utopus Insights, Inc.
    Inventors: Jin Dong, Carlton Gammons, Jin Yan Shao, Qi Ming Tian, Ming Xie, Wen Jun Yin, Hong Guang Yu, Li Li Zhao
  • Patent number: 11663496
    Abstract: An example method comprises receiving first historical data of a first time period and failure data, identifying at least some sensor data that was or potentially was generated during a first failure, removing the at least some sensor data to create filtered historical data, training a classification model using the filtered historical data, the classification model indicating at least one first classified state at a second period of time prior to the first failure indicated by the failure data, applying the classification model to second sensor data to identify a first potential failure state based on the at least one first classified state, the second sensor data being from a subsequent time period, generating an alert if the first potential failure state is identified based on at least a first subset of sensor signals generated during the subsequent time period, and providing the alert.
    Type: Grant
    Filed: December 21, 2018
    Date of Patent: May 30, 2023
    Assignee: Utopus Insights, Inc.
    Inventors: Younghun Kim, Guruprasad Srinivasan, Tarun Kumar
  • Patent number: 11662392
    Abstract: A method may comprise storing a first service provider record associated with a first project located at a first geographic location, receiving a request for project identifiers located within a section of a geographic area, providing a subset of the first set of the one or more project identifiers to be displayed on a second map the first user device, receiving a selected project of the project identifiers, providing a project page indicating categorical identifiers associated with the first project indicating at least some work performed, a link to at least one service professional's profile page, an opinion review and an insight review, receiving a selection of the link to the at least one service professional's profile page, and providing, a profile page of the at least one service professional, the profile page including contact information of the at least one service professional.
    Type: Grant
    Filed: May 17, 2022
    Date of Patent: May 30, 2023
    Assignee: Utopus Insights, Inc.
    Inventors: Jin Dong, Carlton Gammons, Jin Yan Shao, Qi Ming Tian, Ming Xie, Wen Jun Yin, Hong Guang Yu, Li Li Zhao
  • Patent number: 11656353
    Abstract: A system is configured to receive synthetic aperture radar (SAR) backscatter signatures of a geographical area including the object of interest from a SAR device. The system also extracts feature vectors from the SAR backscatter signature based on the intensity values of the SAR backscatter signature. The system inputs the one or more feature vectors into a neural network model. The system receives, as output from the neural network model, coordinate values indicating one or more visual features of the object of interest. Using these coordinate values, the system determines one or more measurements of the object of interest.
    Type: Grant
    Filed: October 10, 2019
    Date of Patent: May 23, 2023
    Assignee: Orbital Insight, Inc.
    Inventors: Xin Li, Matthew Dunseth Wood
  • Publication number: 20230152794
    Abstract: An example method comprises receiving historical sensor data of a renewable energy asset for a first time period, identifying historical log data in one or more log sources, retrieving dates of the identified historical log data, retrieving sequences of historical sensor data using the dates, training hidden Markov models using the sequences of historical sensor data to identify probability of shifting states of one or more components of the renewable energy asset, receiving current sensor data of a second time period, identifying current log data in the one or more log sources, retrieving dates of the identified current log data, retrieving sequences of current sensor data using the dates, applying the hidden Markov models to the sequences of the current sensor data to assess likelihood of the one or more faults, creating a prediction of a future fault, and generating a report including the prediction of the future fault.
    Type: Application
    Filed: November 4, 2022
    Publication date: May 18, 2023
    Applicant: Utopus Insights, Inc.
    Inventors: Guruprasad Srinivasan, Younghun Kim
  • Publication number: 20230152795
    Abstract: An example method comprises receiving historical wind turbine failure data and asset data from SCADA systems, receiving first historical sensor data, determining healthy assets of the renewable energy assets by comparing signals to known healthy operating signals, training at least one machine learning model to indicate assets that may potentially fail and to a second set of assets that are operating within a healthy threshold, receiving first current sensor data of a second time period, applying a machine learning model to the current sensor data to generate a first failure prediction a failure and generate a list of assets that are operating within a healthy threshold, comparing the first failure prediction to a trigger criteria, generating and transmitting a first alert if comparing the first failure prediction to the trigger criteria indicates a failure prediction, and updating a list of assets to perform surveillance if within a healthy threshold.
    Type: Application
    Filed: November 16, 2022
    Publication date: May 18, 2023
    Applicant: Utopus Insights, Inc.
    Inventors: Chandramouli Visweswariah, Lars Toghill, Joel Igba, Neil Desai, Younghun Kim, Yajuan Wang
  • Patent number: 11631978
    Abstract: Various embodiments manage energy generation in a power generation and distribution system. In one embodiment, a set of residual load data is obtained for a given period of time measured at one or more nodes within a power generation and distribution system. The set of residual load data encodes a set of power flow signals. The set of residual load data is analyzed. An amount of power contributed to the set of residual load data by at least one energy generator class is determined based on the analysis of the set of residual load data.
    Type: Grant
    Filed: May 3, 2021
    Date of Patent: April 18, 2023
    Assignee: Utopus Insights, Inc.
    Inventors: Bei Chen, Jean-Baptiste Remi Fiot, Vincent Petrus Anthonius Lonij, Mathieu F. Sinn
  • Publication number: 20230106115
    Abstract: A system for quantifying viewer engagement with a video playing on a display includes at least one camera to acquire image data of a viewing area in front of the display. A microphone acquires audio data emitted by a speaker coupled to the display. The system also includes a memory to store processor-executable instructions and a processor. Upon execution of the processor-executable instructions, the processor receives the image data and the audio data and determines an identity of the video displayed on the display based on the audio data. The processor also estimates a first number of people present in the viewing area and a second number of people engaged with the video. The processor further quantifies the viewer engagement of the video based on the first number of people and the second number of people.
    Type: Application
    Filed: October 18, 2022
    Publication date: April 6, 2023
    Applicant: TVision Insights, Inc.
    Inventors: Inderbir Sidhu, Yanfeng Liu, Yun Fu
  • Patent number: 11620553
    Abstract: A system for forecasting leaks in a fluid-delivery pipeline network. The system identifies a subsystem in the pipeline network that comprises a plurality of topologically connected stations. The system accesses historical temporal sensor measurements of a plurality of variables of the stations that are directly connected and generates a temporal causal dependency model for a first control variable at the first station in the subsystem, based on the plurality of time series of sensor measurements of a second variable of the first station, and temporal delay characteristics of the plurality of time series of sensor measurements of the second variable at the stations directly connected to the first station. The system automatically calculates a normal operating value of the first control variable at the first station and the deviations between actual measured values and the normal operating value and determines a threshold deviation that indicates a leak event.
    Type: Grant
    Filed: April 21, 2016
    Date of Patent: April 4, 2023
    Assignee: Utopus Insights, Inc.
    Inventors: Fook-Luen Heng, Jefferson Huang, Tarun Kumar, Rui Zhang
  • Patent number: 11598900
    Abstract: A method, system, and computer program product for resource management are described. The method includes selecting trouble regions within the service area, generating clustered regions, and training a trouble forecast model for the trouble regions for each type of damage, the training for each trouble region using training data from every trouble region within the clustered region associated with the trouble region. The method also includes applying the trouble forecast model for each trouble region within the service area for each type of damage, determining a trouble forecast for the service area for each type of damage based on the trouble forecast for each of the trouble regions within the service area, and determining a job forecast for the service area based on the trouble forecast for the service area, wherein the managing resources is based on the job forecast for the service area.
    Type: Grant
    Filed: April 6, 2021
    Date of Patent: March 7, 2023
    Assignee: Utopus Insights, Inc.
    Inventors: Fook-Luen Heng, Zhiguo Li, Stuart A. Siegel, Amith Singhee, Haijing Wang
  • Patent number: 11600870
    Abstract: Systems and techniques for measuring process characteristics including electrolyte distribution in a battery cell. A non-destructive method for analyzing a battery cell includes determining acoustic features at two or more locations of the battery cell, the acoustic features based on one or more of acoustic signals travelling through at least one or more portions of the battery cell during one or more points in time or responses to the acoustic signals obtained during one or more points in time, wherein the one or more points in time correspond to one or more stages of electrolyte distribution in the battery cell. One or more characteristics of the battery cell are determined based on the acoustic features at the two or more locations of the battery cell.
    Type: Grant
    Filed: March 23, 2020
    Date of Patent: March 7, 2023
    Assignee: Liminal Insights, Inc.
    Inventors: Shan Dou, Andrew G. Hsieh, Shaurjo Biswas, Barry J. Van Tassell, Elizabeth M. Lee, Dennis Yu, Jason Y. Yu
  • Patent number: 11586825
    Abstract: Provided is a process, including: obtaining geographic regions and geolocations that are places of interest within those geographic regions; obtaining first data about at least some of the plurality of geolocations, wherein the first data is not pathogen specific; obtaining second data about at least some of the plurality of geolocations, wherein the second data is pathogen-specific; determining geolocation-pathogen-risk scores of the geographic regions based on both the first data and the second data; determining geolocation-pathogen-risk scores of the places of interest with a machine learning model trained to allocate risk of geographic regions to places of interest based on at least some of the first data.
    Type: Grant
    Filed: July 21, 2021
    Date of Patent: February 21, 2023
    Assignee: Pandemic Insights, Inc.
    Inventor: Eric Klasson
  • Patent number: 11588782
    Abstract: Mapping anonymous Internet entities to known accounts. In an embodiment, events, representing online activity and comprising IP addresses, are received from a plurality of sources. Subsets of the events are aggregated into mappings that associate the IP address, shared by the subset, with an account. Each mapping is associated with statistics regarding the events. A confidence value is calculated for each mapping based on the statistics, and a final subset of the mappings is selected based on the confidence values. Subsequently, when a request with an IP address is received, the final subset of mappings is searched for the requested IP address, and an indication of the account associated with the requested IP address is returned in response to the request.
    Type: Grant
    Filed: March 21, 2022
    Date of Patent: February 21, 2023
    Assignee: 6Sense Insights, Inc.
    Inventors: Viral Bajaria, Premal Shah, Nitin Vijayvargiya, Dustin Chang
  • Publication number: 20230010933
    Abstract: Disclosed herein is a method for making hydrogen with carbon sequestration. The method may comprise using a biomass hydroconverter product to fuel a steam reformer that converts a hydrocarbon fuel stream into a gas mixture that contains at least hydrogen and carbon dioxide. The gas stream is separated to form a hydrogen-enriched gas stream and at least one hydrogen-depleted stream. The hydrogen-depleted stream may be stored or further processed to sequester the carbon contained therein. Additionally, or alternatively, the solid residue from the biomass hydroconverter also may be stored for further sequester carbon generated by the method.
    Type: Application
    Filed: September 16, 2022
    Publication date: January 12, 2023
    Applicant: G4 Insights Inc.
    Inventors: Matthew Babicki, Edson Ng
  • Patent number: 11553361
    Abstract: A large-scale radio frequency signal collection and processing system comprising a plurality of sensor systems mounted on a plurality of collection platforms that integrates a plurality of overlapping datasets with differing characteristics (e.g., different resolutions, different view angles, different heights, different time periods, unrelated types of data) to generate an enriched dataset or datasets using a variety of processing techniques (e.g., statistical analysis, signal processing, image processing) that allows for more comprehensive analysis of the radio frequency signal landscape than would be possible using any of the datasets individually, or in combination but without such integration.
    Type: Grant
    Filed: September 15, 2020
    Date of Patent: January 10, 2023
    Assignee: AURORA INSIGHT INC.
    Inventors: Brian Thomas Mengwasser, Jennifer L. Alvarez, Augustus S. Moore
  • Patent number: 11552854
    Abstract: A system and method of managing a network that includes assets are described. The method includes modeling the network as a directed graph with each of the assets represented as a node and determining alternative paths to each node from each available corresponding source of the node. The method also includes computing upstream robustness of each node, computing upstream robustness of the network, and computing downstream criticality of each node. Managing the network and each asset of the network is based on the upstream robustness and the downstream criticality of each node.
    Type: Grant
    Filed: September 14, 2020
    Date of Patent: January 10, 2023
    Assignee: Utopus Insights, Inc.
    Inventors: Aanchal Aggarwal, Harsh Chaudhary, Yakup KoƧ, Younghun Kim, Tarun Kumar, Abhishek Raman
  • Patent number: 11544801
    Abstract: Methods, systems, and computer program products for dynamic pricing of energy consumed from a shared battery using real-time consumption data are provided herein. A computer-implemented method includes calculating wear cost arising from a battery shared by multiple users, wherein the wear cost is based on usage data of the battery; calculating a proportionality factor for each of the multiple users for the calculated wear cost, wherein the proportionality factor is based on individual usage of the battery; apportioning the calculated wear cost to each of the multiple users based on the user's proportionality factor; and determining a dynamic price for energy used by the battery for each of the multiple users, based on said apportioning.
    Type: Grant
    Filed: January 12, 2016
    Date of Patent: January 3, 2023
    Assignee: Utopus Insights, Inc.
    Inventors: Sambaran Bandyopadhyay, Sampath Dechu, Rama C. Kota
  • Patent number: 11540787
    Abstract: A medical imaging system for detecting ionizing radiation. The system includes one or more pixilated imagers positioned to acquire patient image data and one or more position sensors positioned to acquire patient position data. Once the patient image data and patient position data are acquired, one or more processors operably connected to each of the one or more pixilated imagers and one or more position sensors calculate a three-dimensional mass distribution based on patient image data and patient position data.
    Type: Grant
    Filed: July 13, 2020
    Date of Patent: January 3, 2023
    Assignee: IMAGE INSIGHT, INC.
    Inventors: Eric P. Rubenstein, Peter R. Solomon, Gordon A. Drukier, Marek A. Wojtowicz, Joseph E. Cosgrove, Michael A. Serio, James R. Markham, Kenneth W. Wang, William M. Pramenko