Patents by Inventor Liangkai Zhang
Liangkai Zhang 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).
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Patent number: 11875410Abstract: Disclosed is a system and method to automatically identify property-related risks through the use of computer vision, sensors, and/or building information models (BIMs). The ability to automatically identify a variety of hazards helps mitigate the associated risks, and thus reduces the number of accidents or fatalities that would otherwise occur. In some embodiments, a “risk map” can be generated by mapping the identified risks for a given property.Type: GrantFiled: March 10, 2021Date of Patent: January 16, 2024Assignee: AMERICAN INTERNATIONAL GROUP, INC.Inventors: Siddhartha Dalal, Devasis Bassu, Promiti Dutta, Ashwath Aithal, Liangkai Zhang, Alvin Chou, Michael P. Castelli
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Patent number: 11770551Abstract: A method includes receiving a video comprising images representing an object, and determining, using a machine learning model, based on a first image of the images, and for each respective vertex of vertices of a bounding volume for the object, first two-dimensional (2D) coordinates of the respective vertex. The method also includes tracking, from the first image to a second image of the images, a position of each respective vertex along a plane underlying the bounding volume, and determining, for each respective vertex, second 2D coordinates of the respective vertex based on the position of the respective vertex along the plane. The method further includes determining, for each respective vertex, (i) first three-dimensional (3D) coordinates of the respective vertex based on the first 2D coordinates and (ii) second 3D coordinates of the respective vertex based on the second 2D coordinates.Type: GrantFiled: December 15, 2020Date of Patent: September 26, 2023Assignee: Google LLCInventors: Adel Ahmadyan, Tingbo Hou, Jianing Wei, Liangkai Zhang, Artsiom Ablavatski, Matthias Grundmann
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Patent number: 11436755Abstract: Example embodiments allow for fast, efficient determination of bounding box vertices or other pose information for objects based on images of a scene that may contain the objects. An artificial neural network or other machine learning algorithm is used to generate, from an input image, a heat map and a number of pairs of displacement maps. The location of a peak within the heat map is then used to extract, from the displacement maps, the two-dimensional displacement, from the location of the peak within the image, of vertices of a bounding box that contains the object. This bounding box can then be used to determine the pose of the object within the scene. The artificial neural network can be configured to generate intermediate segmentation maps, coordinate maps, or other information about the shape of the object so as to improve the estimated bounding box.Type: GrantFiled: August 9, 2020Date of Patent: September 6, 2022Assignee: Google LLCInventors: Tingbo Hou, Matthias Grundmann, Liangkai Zhang, Jianing Wei, Adel Ahmadyan
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Publication number: 20220191542Abstract: A method includes receiving a video comprising images representing an object, and determining, using a machine learning model, based on a first image of the images, and for each respective vertex of vertices of a bounding volume for the object, first two-dimensional (2D) coordinates of the respective vertex. The method also includes tracking, from the first image to a second image of the images, a position of each respective vertex along a plane underlying the bounding volume, and determining, for each respective vertex, second 2D coordinates of the respective vertex based on the position of the respective vertex along the plane. The method further includes determining, for each respective vertex, (i) first three-dimensional (3D) coordinates of the respective vertex based on the first 2D coordinates and (ii) second 3D coordinates of the respective vertex based on the second 2D coordinates.Type: ApplicationFiled: December 15, 2020Publication date: June 16, 2022Inventors: Adel Ahmadyan, Tingbo Hou, Jianing Wei, Liangkai Zhang, Artsiom Ablavatski, Matthias Grundmann
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Publication number: 20220044439Abstract: Example embodiments allow for fast, efficient determination of bounding box vertices or other pose information for objects based on images of a scene that may contain the objects. An artificial neural network or other machine learning algorithm is used to generate, from an input image, a heat map and a number of pairs of displacement maps. The location of a peak within the heat map is then used to extract, from the displacement maps, the two-dimensional displacement, from the location of the peak within the image, of vertices of a bounding box that contains the object. This bounding box can then be used to determine the pose of the object within the scene. The artificial neural network can be configured to generate intermediate segmentation maps, coordinate maps, or other information about the shape of the object so as to improve the estimated bounding box.Type: ApplicationFiled: August 9, 2020Publication date: February 10, 2022Inventors: Tingbo Hou, Matthias Grundmann, Liangkai Zhang, Jianing Wei, Adel Ahmadyan
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Patent number: 11144889Abstract: A system and method are provided for automatically estimating a repair cost for a vehicle. A method includes: receiving, at a server computing device over an electronic network, one or more images of a damaged vehicle from a client computing device; performing image processing operations on each of the one or more images to detect external damage to a first set of parts of the vehicle; inferring internal damage to a second set of parts of the vehicle based on the detected external damage; and, calculating an estimated repair cost for the vehicle based on the detected external damage and inferred internal damage based on accessing a parts database that includes repair and labor costs for each part in the first and second sets of parts.Type: GrantFiled: May 7, 2018Date of Patent: October 12, 2021Assignee: AMERICAN INTERNATIONAL GROUP, INC.Inventors: Kaigang Li, Ashwath Aithal, Siddhartha Dalal, Liangkai Zhang
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Publication number: 20210192639Abstract: Disclosed is a system and method to automatically identify property-related risks through the use of computer vision, sensors, and/or building information models (BIMs). The ability to automatically identify a variety of hazards helps mitigate the associated risks, and thus reduces the number of accidents or fatalities that would otherwise occur. In some embodiments, a “risk map” can be generated by mapping the identified risks for a given property.Type: ApplicationFiled: March 10, 2021Publication date: June 24, 2021Applicant: American International Group, Inc.Inventors: Siddhartha Dalal, Devasis Bassu, Promiti Dutta, Ashwath Aithal, Liangkai Zhang, Alvin Chou, Michael P. Castelli
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Patent number: 10977740Abstract: Disclosed is a system and method to automatically identify property-related risks through the use of computer vision, sensors, and/or building information models (BIMs). The ability to automatically identify a variety of hazards helps mitigate the associated risks, and thus reduces the number of accidents or fatalities that would otherwise occur. In some embodiments, a “risk map” can be generated by mapping the identified risks for a given property.Type: GrantFiled: April 30, 2020Date of Patent: April 13, 2021Assignee: AMERICAN INTERNATIONAL GROUP, INC.Inventors: Siddhartha Dalal, Devasis Bassu, Promiti Dutta, Ashwath Aithal, Liangkai Zhang, Alvin Chou, Michael P. Castelli
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Patent number: 10776880Abstract: Disclosed is a system and method to automatically identify property-related risks through the use of computer vision, sensors, and/or building information models (BIMs). The ability to automatically identify a variety of hazards helps mitigate the associated risks, and thus reduces the number of accidents or fatalities that would otherwise occur. In some embodiments, a “risk map” can be generated by mapping the identified risks for a given property.Type: GrantFiled: December 22, 2017Date of Patent: September 15, 2020Assignee: American International Group, Inc.Inventors: Siddhartha Dalal, Devasis Bassu, Promiti Dutta, Ashwath Aithal, Liangkai Zhang, Alvin Chou, Michael P. Castelli
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Publication number: 20200258163Abstract: Disclosed is a system and method to automatically identify property-related risks through the use of computer vision, sensors, and/or building information models (BIMs). The ability to automatically identify a variety of hazards helps mitigate the associated risks, and thus reduces the number of accidents or fatalities that would otherwise occur. In some embodiments, a “risk map” can be generated by mapping the identified risks for a given property.Type: ApplicationFiled: April 30, 2020Publication date: August 13, 2020Applicant: American International Group, Inc.Inventors: Siddhartha Dalal, Devasis Bassu, Promiti Dutta, Ashwath Aithal, Liangkai Zhang, Alvin Chou, Michael P. Castelli
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Publication number: 20190050942Abstract: Disclosed is a system and method to automatically identify property-related risks through the use of computer vision, sensors, and/or building information models (BIMs). The ability to automatically identify a variety of hazards helps mitigate the associated risks, and thus reduces the number of accidents or fatalities that would otherwise occur. In some embodiments, a “risk map” can be generated by mapping the identified risks for a given property.Type: ApplicationFiled: December 22, 2017Publication date: February 14, 2019Applicant: American International Group, Inc.Inventors: Siddhartha Dalal, Devasis Bassu, Promiti Dutta, Ashwath Aithal, Liangkai Zhang, Alvin Chou, Michael P. Castelli
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Publication number: 20180260793Abstract: A system and method are provided for automatically estimating a repair cost for a vehicle. A method includes: receiving, at a server computing device over an electronic network, one or more images of a damaged vehicle from a client computing device; performing image processing operations on each of the one or more images to detect external damage to a first set of parts of the vehicle; inferring internal damage to a second set of parts of the vehicle based on the detected external damage; and, calculating an estimated repair cost for the vehicle based on the detected external damage and inferred internal damage based on accessing a parts database that includes repair and labor costs for each part in the first and second sets of parts.Type: ApplicationFiled: May 7, 2018Publication date: September 13, 2018Applicant: American International Group, Inc.Inventors: Kaigang Li, Ashwath Aithal, Siddhartha Dalal, Liangkai Zhang