Patents by Inventor Marigona Bokshi-Drotar
Marigona Bokshi-Drotar 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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Publication number: 20240079117Abstract: A method and system may use computer vision techniques and machine learning analysis to automatically identify a user's biometric characteristics. A user's client computing device may capture a video of the user. Feature data and movement data may be extracted from the video and applied to statistical models for determining several biometric characteristics. The determined biometric characteristic values may be used to identify individual health scores and the individual health scores may be combined to generate an overall health score and longevity metric. An indication of the user's biometric characteristics which may include the overall health score and longevity metric may be displayed on the user's client computing device.Type: ApplicationFiled: November 10, 2023Publication date: March 7, 2024Inventors: Dingchao Zhang, Jeffrey S. Myers, Michael Bernico, Marigona Bokshi-Drotar, Edward W. Breitweiser, Peter Laube, Utku Pamuksuz
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Patent number: 11862326Abstract: A method and system may use computer vision techniques and machine learning analysis to automatically identify a user's biometric characteristics. A user's client computing device may capture a video of the user. Feature data and movement data may be extracted from the video and applied to statistical models for determining several biometric characteristics. The determined biometric characteristic values may be used to identify individual health scores and the individual health scores may be combined to generate an overall health score and longevity metric. An indication of the user's biometric characteristics which may include the overall health score and longevity metric may be displayed on the user's client computing device.Type: GrantFiled: October 27, 2020Date of Patent: January 2, 2024Assignee: State Farm Mutual Automobile Insurance CompanyInventors: Dingchao Zhang, Jeffrey S. Myers, Michael Bernico, Marigona Bokshi-Drotar, Edward W. Breitweiser, Peter Laube, Utku Pamuksuz
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Patent number: 11776246Abstract: A method and system may use machine learning analysis of audio data to automatically identify a user's biometric characteristics. A user's client computing device may capture audio of the user. Feature data may be extracted from the audio and applied to statistical models for determining several biometric characteristics. The determined biometric characteristic values may be used to identify individual health scores and the individual health scores may be combined to generate an overall health score and longevity metric. An indication of the user's biometric characteristics which may include the overall health score and longevity metric may be displayed on the user's client computing device.Type: GrantFiled: November 8, 2022Date of Patent: October 3, 2023Assignee: State Farm Mutual Automobile Insurance CompanyInventors: Dingchao Zhang, Michael Bernico, Peter Laube, Utku Pamuksuz, Jeffrey S. Myers, Marigona Bokshi-Drotar, Edward W. Breitweiser
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Publication number: 20230260276Abstract: Systems and methods for analyzing image data to assess property damage are disclosed. According to certain aspects, a server may analyze segmented digital image data of a roof of a property using a convolutional neural network (CNN). The server may extract a set of features from a set of regions output by the CNN. Additionally, the server may analyze the set of features using an additional image model to generate a set of outputs indicative of a confidence level that actual hail damage is depicted in the set of regions.Type: ApplicationFiled: April 26, 2023Publication date: August 17, 2023Inventors: Marigona Bokshi-Drotar, Jing Wan, Sandra Kane, Yuntao Li
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Publication number: 20230230166Abstract: A system and computer-implemented method for classifying a level of vehicle damage includes receiving, at a remote server, captured image data of a vehicle from a user electronic device. The user electronic device has an orientation model configured to assist image capture. The image data is processed by the remote server using a damage assessment model. In addition, the remote server determines a classification for a level of damage to the vehicle based on the processed image data.Type: ApplicationFiled: June 15, 2018Publication date: July 20, 2023Applicant: State Farm Mutual Automobile Insurance CompanyInventors: Shane Tomlinson, Jennifer Malia Andrus, Marigona Bokshi-Drotar, Holly Lambert, Daniel J. Green, Michael Bernico, Bradley A. Sliz, He Yang
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Patent number: 11670079Abstract: Systems and methods for analyzing image data to assess property damage are disclosed. According to certain aspects, a server may analyze segmented digital image data of a roof of a property using a convolutional neural network (CNN). The server may extract a set of features from a set of regions output by the CNN. Additionally, the server may analyze the set of features using an additional image model to generate a set of outputs indicative of a confidence level that actual hail damage is depicted in the set of regions.Type: GrantFiled: March 11, 2021Date of Patent: June 6, 2023Assignee: State Farm Mutual Automobile Insurance CompanyInventors: Marigona Bokshi-Drotar, Jing Wan, Sandra Kane, Yuntao Li
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Publication number: 20230060732Abstract: A method and system may use machine learning analysis of audio data to automatically identify a user's biometric characteristics. A user's client computing device may capture audio of the user. Feature data may be extracted from the audio and applied to statistical models for determining several biometric characteristics. The determined biometric characteristic values may be used to identify individual health scores and the individual health scores may be combined to generate an overall health score and longevity metric. An indication of the user's biometric characteristics which may include the overall health score and longevity metric may be displayed on the user's client computing device.Type: ApplicationFiled: November 8, 2022Publication date: March 2, 2023Inventors: Dingchao Zhang, Michael Bernico, Peter Laube, Utku Pamuksuz, Jeffrey S. Myers, Marigona Bokshi-Drotar, Edward W. Breitweiser
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Patent number: 11521412Abstract: A method and system may use machine learning analysis of audio data to automatically identify a user's biometric characteristics. A user's client computing device may capture audio of the user. Feature data may be extracted from the audio and applied to statistical models for determining several biometric characteristics. The determined biometric characteristic values may be used to identify individual health scores and the individual health scores may be combined to generate an overall health score and longevity metric. An indication of the user's biometric characteristics which may include the overall health score and longevity metric may be displayed on the user's client computing device.Type: GrantFiled: November 2, 2020Date of Patent: December 6, 2022Assignee: State Farm Mutual Automobile Insurance CompanyInventors: Dingchao Zhang, Michael Bernico, Peter Laube, Utku Pamuksuz, Jeffrey S. Myers, Marigona Bokshi-Drotar, Edward W. Breitweiser
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Publication number: 20220114627Abstract: A system and computer-implemented method for processing images of a damaged vehicle and estimating a repair cost of the damaged vehicle includes receiving image data of a vehicle from a user mobile device. The image data is processed to determine whether one or more parts of the damaged vehicle are damaged. In addition, one or more parts of the damaged vehicle are identified for repair and one or more parts of the damaged vehicle are identified for replacement. A cost associated for the repair of each of the one or more parts of the damaged vehicle for repair is estimated based on estimated repair cost data contained in a parts repair database. Moreover, a cost associated with the replacement of each of the one or more parts of the damaged vehicle for replacement is determined based on replacement cost data contained in a parts replacement database.Type: ApplicationFiled: December 20, 2021Publication date: April 14, 2022Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANYInventors: Shane Tomlinson, Jennifer Malia Andrus, Marigona Bokshi-Drotar, Holly Lambert, Daniel J. Green, Michael Bernico, Bradley A. Sliz, He Yang
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Patent number: 11238506Abstract: A system and computer-implemented method for processing images of a damaged vehicle and estimating a repair cost of the damaged vehicle includes receiving image data of a vehicle from a user mobile device. The image data is processed to determine whether one or more parts of the damaged vehicle are damaged. In addition, one or more parts of the damaged vehicle are identified for repair and one or more parts of the damaged vehicle are identified for replacement. A cost associated for the repair of each of the one or more parts of the damaged vehicle for repair is estimated based on estimated repair cost data contained in a parts repair database. Moreover, a cost associated with the replacement of each of the one or more parts of the damaged vehicle for replacement is determined based on replacement cost data contained in a parts replacement database.Type: GrantFiled: June 15, 2018Date of Patent: February 1, 2022Assignee: State Farm Mutual Automobile Insurance CompanyInventors: Shane Tomlinson, Jennifer Malia Andrus, Marigona Bokshi-Drotar, Holly Lambert, Daniel J. Green, Michael Bernico, Bradley A. Sliz, He Yang
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Publication number: 20210374997Abstract: A system and computer-implemented method for facilitating a user of a mobile device obtaining image data of damage to a vehicle for damage assessment includes capturing image data of a vehicle with the mobile device. The mobile device may include an orientation model for capturing the image data. The captured image data is analyzed, and a determination is made of the orientations of the images of the captured image data. In addition, a determination is made as to whether the captured image data can be used for the damage assessment. The captured image data may then be transmitted to a damage estimator computing device for estimating an amount of damage to the vehicle.Type: ApplicationFiled: August 13, 2021Publication date: December 2, 2021Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANYInventors: Shane Tomlinson, Jennifer Malia Andrus, Marigona Bokshi-Drotar, Holly Lambert, Daniel J. Green, Michael Bernico, Bradley A. Sliz, He Yang
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Publication number: 20210350470Abstract: A system and computer-implemented method for processing image data of a vehicle to identify one or more damaged parts includes receiving the image data of the vehicle from a policyholder. The image data is processed to determine whether the image data includes images of one or more damaged parts of the vehicle. One or more damaged parts are identified. A parts database is used to receive data corresponding to the identified one or more damaged parts. A parts list is generated including the identified one or more damaged parts and the data corresponding to the identified one or more damaged parts.Type: ApplicationFiled: June 15, 2018Publication date: November 11, 2021Applicant: State Farm Mutual Automobile Insurance CompanyInventors: Holly Lambert, Jennifer Malia Andrus, Marigona Bokshi-Drotar, Shane Tomlinson, Daniel J. Green, Michael Bernico, Bradley A. Sliz, He Yang
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Patent number: 11159715Abstract: A system for capturing images of damage to an object configured to (i) store an orientation model associated with an object; (ii) receive, from a user, a request to analyze damage to the object; (iii) instruct the user to position a camera at a first position relative to the object; (iv) receive an image of the object from the camera; (v) determine whether the received image is properly framed; (vi) if the received image is not properly framed, instruct the user to adjust the position of the camera; and (vii) if the received image is properly framed, instruct the user to position the camera at a second position relative to the object. As a result, obtaining images of sufficient quality for proper processor analysis may be facilitated.Type: GrantFiled: July 28, 2020Date of Patent: October 26, 2021Assignee: State Farm Mutual Automobile Insurance CompanyInventors: Holly Lambert, Shane Tomlinson, Daniel J. Green, Bradley A. Sliz, Marigona Bokshi-Drotar, Holly Kay Sanderson, Derek Lawless, He Yang, Jennifer Malia Andrus
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Patent number: 11120574Abstract: A system and computer-implemented method for facilitating a user of a mobile device obtaining image data of damage to a vehicle for damage assessment includes capturing image data of a vehicle with the mobile device. The mobile device may include an orientation model for capturing the image data. The captured image data is analyzed, and a determination is made of the orientations of the images of the captured image data. In addition, a determination is made as to whether the captured image data can be used for the damage assessment. The captured image data may then be transmitted to a damage estimator computing device for estimating an amount of damage to the vehicle.Type: GrantFiled: June 15, 2018Date of Patent: September 14, 2021Assignee: State Farm Mutual Automobile Insurance CompanyInventors: Shane Tomlinson, Jennifer Malia Andrus, Marigona Bokshi-Drotar, Holly Lambert, Daniel J. Green, Michael Bernico, Bradley A. Sliz, He Yang
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Patent number: 11106926Abstract: A system and computer-implemented method for automatically predicting the labor, hours, and parts costs for repair of a vehicle includes receiving one or more images of the vehicle from a policyholder. A damage assessment model is accessed. The damage assessment model corresponds to features of vehicle damage based on a plurality of damaged vehicle images contained in an image training database. The damage assessment model is compared to the images of the vehicle and vehicle damage is identified based on the images. In addition, in response to identifying the vehicle damage, total labor costs, total parts costs, and total hours for repair of the vehicle are predicted based on the associated total labor costs, total parts costs, and total hours for repair data contained in the historical claims database.Type: GrantFiled: October 27, 2020Date of Patent: August 31, 2021Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANYInventors: Holly Lambert, Jennifer Malia Andrus, Marigona Bokshi-Drotar, Shane Tomlinson, Daniel J. Green, Michael Bernico, Bradley A. Sliz, He Yang
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Patent number: 11080838Abstract: An image analysis (“IA”) computer system for analyzing images of hail damage includes at least one processor in communication with at least one memory device. The at least one processor is programmed to: (i) store a damage prediction model associated with a rooftop, wherein the damage prediction model utilizes an artificial intelligence algorithm; (ii) display, to a user, an image of a rooftop; (iii) receive, from the user, a request to analyze damage to the rooftop; (iv) apply, by the at least one processor, the damage prediction model to the image, the damage prediction model outputting a plurality of damage prediction locations of the rooftop in relation to the image; and/or (v) display, by the at least one processor, an overlay box at each of the plurality of damage prediction locations, the overlay box being a virtual object overlaid onto the image for labeling the damage prediction locations.Type: GrantFiled: August 8, 2019Date of Patent: August 3, 2021Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANYInventors: Yuntao Li, Charlie Isaksson, Marigona Bokshi-Drotar, Jing Wan
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Patent number: 10977490Abstract: Systems and methods for analyzing image data to assess property damage are disclosed. According to certain aspects, a server may analyze segmented digital image data of a roof of a property using a convolutional neural network (CNN). The server may extract a set of features from a set of regions output by the CNN. Additionally, the server may analyze the set of features using an additional image model to generate a set of outputs indicative of a confidence level that actual hail damage is depicted in the set of regions.Type: GrantFiled: October 30, 2018Date of Patent: April 13, 2021Assignee: State Farm Mutual Automobile Insurance CompanyInventors: Marigona Bokshi-Drotar, Jing Wan, Sandra Kane, Yuntao Li
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Publication number: 20210042543Abstract: A system and computer-implemented method for automatically predicting the labor, hours, and parts costs for repair of a vehicle includes receiving one or more images of the vehicle from a policyholder. A damage assessment model is accessed. The damage assessment model corresponds to features of vehicle damage based on a plurality of damaged vehicle images contained in an image training database. The damage assessment model is compared to the images of the vehicle and vehicle damage is identified based on the images. In addition, in response to identifying the vehicle damage, total labor costs, total parts costs, and total hours for repair of the vehicle are predicted based on the associated total labor costs, total parts costs, and total hours for repair data contained in the historical claims database.Type: ApplicationFiled: October 27, 2020Publication date: February 11, 2021Inventors: Holly Lambert, Jennifer Malia Andrus, Marigona Bokshi-Drotar, Shane Tomlinson, Daniel J. Green, Michael Bernico, Bradley A. Sliz, He Yang
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Patent number: 10832065Abstract: A system and computer-implemented method for automatically predicting the labor, hours, and parts costs for repair of a vehicle includes receiving one or more images of the vehicle from a policyholder. A damage assessment model is accessed. The damage assessment model corresponds to features of vehicle damage based on a plurality of damaged vehicle images contained in an image training database. The damage assessment model is compared to the images of the vehicle and vehicle damage is identified based on the images. In addition, in response to identifying the vehicle damage, total labor costs, total parts costs, and total hours for repair of the vehicle are predicted based on the associated total labor costs, total parts costs, and total hours for repair data contained in the historical claims database.Type: GrantFiled: June 15, 2018Date of Patent: November 10, 2020Assignee: State Farm Mutual Automobile Insurance CompanyInventors: Holly Lambert, Jennifer Malia Andrus, Marigona Bokshi-Drotar, Shane Tomlinson, Daniel J. Green, Michael Bernico, Bradley A. Sliz, He Yang
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Publication number: 20200349370Abstract: A system and computer-implemented method for automatically predicting the labor, hours, and parts costs for repair of a vehicle includes receiving one or more images of the vehicle from a policyholder. A damage assessment model is accessed. The damage assessment model corresponds to features of vehicle damage based on a plurality of damaged vehicle images contained in an image training database. The damage assessment model is compared to the images of the vehicle and vehicle damage is identified based on the images. In addition, in response to identifying the vehicle damage, total labor costs, total parts costs, and total hours for repair of the vehicle are predicted based on the associated total labor costs, total parts costs, and total hours for repair data contained in the historical claims database.Type: ApplicationFiled: June 15, 2018Publication date: November 5, 2020Applicant: State Farm Mutual Automobile Insurance CompanyInventors: Holly Lambert, Jennifer Malia Andrus, Marigona Bokshi-Drotar, Shane Tomlinson, Daniel J. Green, Michael Bernico, Bradley A. Sliz, He Yang