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公开(公告)号：US20200128171A1
公开(公告)日：2020-04-23
申请号：US16162482
申请日：2018-10-17
Applicant: Verizon Patent and Licensing Inc.
Inventor： Andrew W. Herson , Domonkos Huszar , Istvan S. Horvath , Christopher Kennedy , Csaba Rekeczky
Abstract: A method, a device, and a non-transitory storage medium are described in which a machine learning-based device placement and configuration service is provided. The machine learning-based device placement and configuration system uses regression models calculated from installation and performance data. The regression model includes data associated with sites at which video cameras were previously installed and tested for detection accuracy levels possibly associated with a service area. With these generated models, information about the physical space, and desired performance criteria, designers optimize camera number, camera placement, and geo-location camera parameters. The device placement and configuration service may find an optimal camera placement and geo-location camera parameter set which satisfy certain criteria. The geo-location parameters include position, height, heading, pitch, and roll. Subsequent to the installation of the video cameras using the calculated geo-location parameters, the system may verify accuracy of detection of the service area, and update the regression model.
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公开(公告)号：US10939031B2
公开(公告)日：2021-03-02
申请号：US16896366
申请日：2020-06-09
Applicant: Verizon Patent and Licensing Inc.
Inventor： Andrew W. Herson , Domonkos Huszar , Istvan S. Horvath , Christopher Kennedy , Csaba Rekeczky
Abstract: A method, a device, and a non-transitory storage medium are described in which a machine learning-based device placement and configuration service is provided. The machine learning-based device placement and configuration system uses regression models calculated from installation and performance data. The regression model includes data associated with sites at which video cameras were previously installed and tested for detection accuracy levels possibly associated with a service area. With these generated models, information about the physical space, and desired performance criteria, designers optimize camera number, camera placement, and geo-location camera parameters. The device placement and configuration service may find an optimal camera placement and geo-location camera parameter set which satisfy certain criteria. The geo-location parameters include position, height, heading, pitch, and roll. Subsequent to the installation of the video cameras using the calculated geo-location parameters, the system may verify accuracy of detection of the service area, and update the regression model.
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Patent Agency Ranking
公开(公告)号：US10911747B1
公开(公告)日：2021-02-02
申请号：US16700631
申请日：2019-12-02
Applicant: Verizon Patent and Licensing Inc.
Inventor： Akos Kiss , Istvan S. Horvath , Peter Ruzsa , Gabor Erdosi , Dora E. Babicz , Andrew W. Herson , Csaba Rekeczky
Abstract: A device may receive initial registration data identifying initial camera parameters associated with a camera device provided at a location, and may receive location data associated with the location captured by the camera device. The device may receive map data identifying a map image of the location, and may transform the initial registration data into estimated camera parameters. The device may process the location data, with the estimator model, to generate extracted data, and may process the estimated camera parameters, the extracted data, and the map data, with a parameter optimization model, to identify camera parameters for the camera device. The device may provide the camera parameters to the camera device to cause the camera device to be configured based on the camera parameters.
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公开(公告)号：US20200304703A1
公开(公告)日：2020-09-24
申请号：US16896366
申请日：2020-06-09
Applicant: Verizon Patent and Licensing Inc.
Inventor： Andrew W. Herson , Domonkos Huszar , Istvan S. Horvath , Christopher Kennedy , Csaba Rekeczky
Abstract: A method, a device, and a non-transitory storage medium are described in which a machine learning-based device placement and configuration service is provided. The machine learning-based device placement and configuration system uses regression models calculated from installation and performance data. The regression model includes data associated with sites at which video cameras were previously installed and tested for detection accuracy levels possibly associated with a service area. With these generated models, information about the physical space, and desired performance criteria, designers optimize camera number, camera placement, and geo-location camera parameters. The device placement and configuration service may find an optimal camera placement and geo-location camera parameter set which satisfy certain criteria. The geo-location parameters include position, height, heading, pitch, and roll. Subsequent to the installation of the video cameras using the calculated geo-location parameters, the system may verify accuracy of detection of the service area, and update the regression model.
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公开(公告)号：US12254679B2
公开(公告)日：2025-03-18
申请号：US17653213
申请日：2022-03-02
Applicant: Verizon Patent and Licensing Inc.
Inventor： Gellert Nacsa , Domonkos Huszar , Felician Benda , Akos Kiss , Istvan S. Horvath , Gabor Majoros , Csaba Rekeczky
Abstract: A device may receive a video and corresponding camera information associated with a camera that captured the video, and may select an object in the video and a wire model for the object. The device may adjust an orientation, location, or size of the wire model to align the wire model on the object in a frame of the video, based on the corresponding camera information and to generate an adjusted wire model. The device may identify the object in another frame of the video, and may align the adjusted wire model on the object in the other frame. The device may interpolate the adjusted wire model for the object for intermediate frames of the video between the first and other frames, and may generate three-dimensional annotations for the video based on the adjusted wire models. The device may train a machine learning model based on the three-dimensional annotations.
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6.发明申请公开(公告)号：US20220327333A1
公开(公告)日：2022-10-13
申请号：US17224858
申请日：2021-04-07
Applicant: Verizon Patent and Licensing Inc.
Inventor： Anna E. Csorgo , Balint Magyar , Domonkos Huszar , Mark Szabo , Istvan S. Horvath , Andras Horvath , Csaba Rekeczky
Abstract: Techniques described herein provide for the use of a heterogeneous artificial intelligence/machine learning (“AI/ML”) architecture, in which relatively complex AI/ML, techniques may be used in conjunction with more lightweight AI/ML techniques in order to leverage the accuracy of relatively complex AI/ML techniques with the reduced processing power and/or time requirements of more lightweight AI/ML techniques. A teacher model system may utilize processing resource and/or time-intensive AI/ML techniques and/or models in order to determine classifications associated with source data, and may provide such classifications to a student model system that may utilize the classifications in accordance with less processing resource and/or time-intensive AI/ML techniques in order to accurately classify sensor data in real time or near-real time.
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公开(公告)号：US10715714B2
公开(公告)日：2020-07-14
申请号：US16162482
申请日：2018-10-17
Applicant: Verizon Patent and Licensing Inc.
Inventor： Andrew W. Herson , Domonkos Huszar , Istvan S. Horvath , Christopher Kennedy , Csaba Rekeczky
Abstract: A method, a device, and a non-transitory storage medium are described in which a machine learning-based device placement and configuration service is provided. The machine learning-based device placement and configuration system uses regression models calculated from installation and performance data. The regression model includes data associated with sites at which video cameras were previously installed and tested for detection accuracy levels possibly associated with a service area. With these generated models, information about the physical space, and desired performance criteria, designers optimize camera number, camera placement, and geo-location camera parameters. The device placement and configuration service may find an optimal camera placement and geo-location camera parameter set which satisfy certain criteria. The geo-location parameters include position, height, heading, pitch, and roll. Subsequent to the installation of the video cameras using the calculated geo-location parameters, the system may verify accuracy of detection of the service area, and update the regression model.
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