Patents by Inventor Bradley A. Sliz
Bradley A. Sliz 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: 20240087107Abstract: A remotely-controlled (RC) and/or autonomously operated inspection device, such as a ground vehicle or drone, may capture one or more sets of imaging data indicative of at least a portion of an automotive vehicle, such as all or a portion of the undercarriage. The one or more sets of imaging data may be analyzed based upon data indicative of at least one of vehicle damage or a vehicle defect being shown in the one or more sets of imaging data. Based upon the analyzing of the one or more sets of imaging data, damage to the vehicle or a defect of the vehicle may be identified. The identified damage or defect may be compared to a claimed damage or defect to determine whether the claimed damage or defect occurred.Type: ApplicationFiled: November 21, 2023Publication date: March 14, 2024Inventors: Ryan Knuffman, Bradley A. Sliz, Lucas Allen
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Patent number: 11854181Abstract: A remotely-controlled (RC) and/or autonomously operated inspection device, such as a ground vehicle or drone, may capture one or more sets of imaging data indicative of at least a portion of an automotive vehicle, such as all or a portion of the undercarriage. The one or more sets of imaging data may be analyzed based upon data indicative of at least one of vehicle damage or a vehicle defect being shown in the one or more sets of imaging data. Based upon the analyzing of the one or more sets of imaging data, damage to the vehicle or a defect of the vehicle may be identified. The identified damage or defect may be compared to a claimed damage or defect to determine whether the claimed damage or defect occurred.Type: GrantFiled: November 17, 2022Date of Patent: December 26, 2023Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANYInventors: Ryan Knuffman, Bradley A. Sliz, Lucas Allen
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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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Publication number: 20230222179Abstract: In a computer-implemented method and associated tangible non-transitory computer-readable medium, an image of a damaged vehicle may be analyzed to generate a repair estimate. A dataset populated with digital images of damaged vehicles and associated claim data may be used to train a deep learning neural network to learn damaged vehicle image characteristics that are predictive of claim data characteristics, and a predictive similarity model may be generated. Using the predictive similarity model, one or more similarity scores may be generated for a digital image of a newly damaged vehicle, indicating its similarity to one or more digital images of damaged vehicles with known damage level, repair time, and/or repair cost. A repair estimate may be generated for the newly damaged vehicle based on the claim data associated with images that are most similar to the image of the newly damaged vehicle.Type: ApplicationFiled: February 16, 2023Publication date: July 13, 2023Inventors: He Yang, Bradley A. Sliz, Carlee A. Clymer, Jennifer Malia Andrus
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Publication number: 20230100483Abstract: A remotely-controlled (RC) and/or autonomously operated inspection device, such as a ground vehicle or drone, may capture one or more sets of imaging data indicative of at least a portion of an automotive vehicle, such as all or a portion of the undercarriage. The one or more sets of imaging data may be analyzed based upon data indicative of at least one of vehicle damage or a vehicle defect being shown in the one or more sets of imaging data. Based upon the analyzing of the one or more sets of imaging data, damage to the vehicle or a defect of the vehicle may be identified. The identified damage or defect may be compared to a claimed damage or defect to determine whether the claimed damage or defect occurred.Type: ApplicationFiled: November 17, 2022Publication date: March 30, 2023Inventors: Ryan Knuffman, Bradley Sliz, Lucas Allen
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Patent number: 11610074Abstract: In a computer-implemented method and associated tangible non-transitory computer-readable medium, an image of a damaged vehicle may be analyzed to generate a repair estimate. A dataset populated with digital images of damaged vehicles and associated claim data may be used to train a deep learning neural network to learn damaged vehicle image characteristics that are predictive of claim data characteristics, and a predictive similarity model may be generated. Using the predictive similarity model, one or more similarity scores may be generated for a digital image of a newly damaged vehicle, indicating its similarity to one or more digital images of damaged vehicles with known damage level, repair time, and/or repair cost. A repair estimate may be generated for the newly damaged vehicle based on the claim data associated with images that are most similar to the image of the newly damaged vehicle.Type: GrantFiled: July 23, 2020Date of Patent: March 21, 2023Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANYInventors: He Yang, Bradley A. Sliz, Carlee A. Clymer, Jennifer Malia Andrus
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Patent number: 11508054Abstract: A remotely-controlled (RC) and/or autonomously operated inspection device, such as a ground vehicle or drone, may capture one or more sets of imaging data indicative of at least a portion of an automotive vehicle, such as all or a portion of the undercarriage. The one or more sets of imaging data may be analyzed based upon data indicative of at least one of vehicle damage or a vehicle defect being shown in the one or more sets of imaging data. Based upon the analyzing of the one or more sets of imaging data, damage to the vehicle or a defect of the vehicle may be identified. The identified damage or defect may be compared to a claimed damage or defect to determine whether the claimed damage or defect occurred.Type: GrantFiled: October 14, 2020Date of Patent: November 22, 2022Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANYInventors: Ryan Knuffman, Bradley A. Sliz, Lucas Allen
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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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Publication number: 20210295354Abstract: Systems and methods for analyzing image data to assess customer opportunities is disclosed. According to certain aspects, a server may access aerial and other image data depicting a set of properties, and may analyze the aerial and other image data to identify the set of properties and determine relevant information associated with the set of properties. The server may further assess which of the set of properties represents a customer opportunity, and may identify a retail terminal that may be configured to facilitate the customer opportunity. The server may generate and transmit a communication to the retail terminal that includes relevant information associated with the customer opportunity.Type: ApplicationFiled: February 20, 2018Publication date: September 23, 2021Inventors: Bradley A. Sliz, Lucas Allen, Jeremy T. Cunningham
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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: 11107306Abstract: A remotely-controlled (RC) and/or autonomously operated inspection device, such as a ground vehicle or drone, may capture one or more sets of imaging data indicative of at least a portion of an automotive vehicle, such as all or a portion of the undercarriage. The one or more sets of imaging data may be analyzed based upon data indicative of at least one of vehicle damage or a vehicle defect being shown in the one or more sets of imaging data. Based upon the analyzing of the one or more sets of imaging data, damage to the vehicle or a defect of the vehicle may be identified and corrected.Type: GrantFiled: December 15, 2017Date of Patent: August 31, 2021Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANYInventors: Ryan Knuffman, Bradley A. Sliz, Lucas Allen
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Publication number: 20210264528Abstract: Systems and methods for analyzing image data to assess policy management opportunities are disclosed. According to certain aspects, a server may access aerial and other image data depicting a set of properties, and may analyze the aerial and other image data to identify the set of properties and determine a set of conditions associated with the set of properties. The server may further assess, based upon the set of conditions and a set of previous conditions, whether corresponding policies associated with the set of properties are eligible for renewal, discounts, or other benefits for property owners. If the policies are eligible for renewal or discounts the server may automatically renew the policies, or apply the discounts or otherwise update the policies, respectively.Type: ApplicationFiled: February 20, 2018Publication date: August 26, 2021Inventors: Bradley A. Sliz, Lucas Allen, Jeremy T. Cunningham
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Patent number: 11080841Abstract: One or more processing elements may be trained to identify vehicle damages or vehicle damages based upon training data. A remotely-controlled (RC) and/or autonomously operated inspection device, such as a ground vehicle or drone, may capture one or more sets of imaging data indicative of at least a portion of an automotive vehicle, such as all or a portion of the undercarriage. The one or more sets of imaging data may be analyzed using the trained processing elements to identify a damage to the vehicle or defect of the vehicle.Type: GrantFiled: October 30, 2019Date of Patent: August 3, 2021Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANYInventors: Ryan Knuffman, Bradley A. Sliz, Lucas Allen
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Patent number: 11050926Abstract: Systems and methods for analyzing image data to automatically ensure image capture consistency are described. According to certain aspects, a server may access aerial and other image data and identify a set of parameters associated with the capture of the image data. The server may access a corresponding set of acceptable image capture parameters, and may compare the set of parameters to the set of acceptable parameters to determine whether image data is consistent with the set of acceptable parameters. In some embodiments, if the image data is not consistent, the server may generate a notification or instruction to cause an image capture component to recapture additional image data.Type: GrantFiled: January 28, 2020Date of Patent: June 29, 2021Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANYInventors: Bradley A. Sliz, Lucas Allen, Jeremy T. Cunningham
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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