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公开(公告)号：US11334940B1
公开(公告)日：2022-05-17
申请号：US16838417
申请日：2020-04-02
Inventor： Nathan L. Tofte , Timothy W. Ryan , Nathan W. Baumann , Michael Shawn Jacob , Joshua David Lillie , Brian N. Harvey , Roxane Lyons , Rosemarie Geier Grant
IPC: G06Q40/00
Abstract: Unmanned aerial vehicles (UAVs) may facilitate the generation of a virtual reconstruction model of a vehicle collision. UAVs may collect data (including images) related to the vehicle collision, such as with the insured's permission, which may be received by an external computing device associated with the insurer and utilized to perform a photogrammetric analysis of the images to determine vehicle impact points, the road layout at the scene of the collision, the state of the traffic light at the scene of the collision, the speeds and directions of vehicles, etc. This data may be used to generate a virtual reconstruction model of the vehicle collision. An insurer may use the virtual reconstruction model to perform various insurance-related tasks, such as allocating fault to drivers or autonomous vehicles involved in the vehicle collision, and adjustment of insurance pricing based upon the fault allocation.
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公开(公告)号：US11195234B1
公开(公告)日：2021-12-07
申请号：US16509649
申请日：2019-07-12
Inventor： Nathan L Tofte , Timothy W Ryan , Nathan W Baumann , Michael Shawn Jacob , Joshua David Lillie , Brian N Harvey , Roxane Lyons , Rosemarie Geier Grant
IPC: G06Q40/08
Abstract: The present embodiments relate to detecting fraudulent insurance claims. According to certain aspects, a central monitoring server may receive and examine data detected by at least one unmanned vehicle and generate an estimated insurance claim for a loss event. The central monitoring server may then receive an actual insurance claim relating to the loss event, and may compare the estimated insurance claim to the actual insurance claim to identify potential buildup included in the actual insurance claim. If buildup is detected, the central monitoring server may then process the actual insurance claim accordingly based upon the potential buildup. As a result, claim monies may be paid to insureds that more accurately reflect actual losses resulting from the loss event, and insurance cost savings may be ultimately passed onto typical insurance customers.
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33.发明申请公开(公告)号：US20210287299A1
公开(公告)日：2021-09-16
申请号：US17093420
申请日：2020-11-09
Inventor： Nathan L. Tofte , Timothy W. Ryan , Nathan W. Baumann , Michael Shawn Jacob , Joshua David Lillie , Brian N. Harvey , Roxane Lyons , Rosemarie Geier Grant
IPC: G06Q40/08 , G06T7/73 , G06K9/00 , G06K9/52 , G06T7/20 , H04N5/44 , H04N7/18 , G06T7/246 , G01C11/02 , G06T11/60 , G06T17/05 , B64C39/02 , B64D47/08
Abstract: Systems and methods are described for using data collected by unmanned aerial vehicles (UAVs) to generate insurance claim estimates that an insured individual may quickly review, approve, or modify. When an insurance-related event occurs, such as a vehicle collision, crash, or disaster, one or more UAVs are dispatched to the scene of the event to collect various data, including data related to vehicle or real property (insured asset) damage. With the insured's permission or consent, the data collected by the UAVs may then be analyzed to generate an estimated insurance claim for the insured. The estimated insurance claim may be sent to the insured individual, such as to their mobile device via wireless communication or data transmission, for subsequent review and approval. As a result, insurance claim handling and/or the online customer experience may be enhanced.
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公开(公告)号：US11069050B1
公开(公告)日：2021-07-20
申请号：US15966086
申请日：2018-04-30
Inventor： Brian N. Harvey , Nathan L. Tofte , Roger D. Schmidgall , Michael Jeffrey Aviles , Kyle Pott , Rosemarie Geier Grant , Eric Haefli , Michael Shawn Jacob
Abstract: A method and system may assess the damage to infrastructure using aerial images captured from an unmanned aerial vehicle (UAV), a manned aerial vehicle (MAV) or from a satellite device. Specifically, an item of infrastructure may be identified for assessing damage. The UAV, MAV, or satellite device may then capture aerial images within an area which surrounds the identified infrastructure item. Subsequently, the aerial images may be analyzed to determine a condition and the extent and/or severity of the damage to the infrastructure item. Furthermore, the aerial images along with indications of the extent of the damage may be displayed on a computing device, where one indication of the severity of the damage surrounds another indication of the severity of the damage on the display.
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35.发明授权公开(公告)号：US10963968B1
公开(公告)日：2021-03-30
申请号：US16178793
申请日：2018-11-02
Inventor： Nathan L Tofte , Timothy W Ryan , Nathan W Baumann , Michael Shawn Jacob , Joshua David Lillie , Brian N Harvey , Roxane Lyons , Rosemarie Geier Grant
Abstract: Systems and methods are described for using data collected by unmanned aerial vehicles (UAVs) to generate insurance claim estimates that an insured individual may quickly review, approve, or modify. When an insurance-related event occurs, such as a vehicle collision, crash, or disaster, one or more UAVs are dispatched to the scene of the event to collect various data, including data related to vehicle or real property (insured asset) damage. With the insured's permission or consent, the data collected by the UAVs may then be analyzed to generate an estimated insurance claim for the insured. The estimated insurance claim may be sent to the insured individual, such as to their mobile device via wireless communication or data transmission, for subsequent review and approval. As a result, insurance claim handling and/or the online customer experience may be enhanced.
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Patent Agency Ranking
36.发明授权公开(公告)号：US10565659B1
公开(公告)日：2020-02-18
申请号：US15890940
申请日：2018-02-07
Inventor： Brian N. Harvey , Nathan L. Tofte , Roger D. Schmidgall , Michael Jeffrey Aviles , Kyle Pott , Rosemarie Geier Grant , Eric Haefli , Michael Shawn Jacob
Abstract: A method and system may display real-time aerial images of insured properties in a neighborhood captured from an unmanned aerial vehicle (UAV), a manned aerial vehicle (MAV), or from a satellite device. For example, aerial images of a neighborhood having insured properties, that have been affected by a catastrophe, may be received from the UAV, MAV, or the satellite device. Aerial images of each insured property may be analyzed to determine a damage severity level and assign a damage severity level indicator to the damage severity level. As a result, the property owner may receive a notification that a catastrophe has impacted her neighborhood. Moreover, the real-time images, with damage severity level indicators overlaying the property, may be transmitted via a web page to the property owner's web-enabled device after the property owner logs in to a customer account.
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公开(公告)号：US09949104B1
公开(公告)日：2018-04-17
申请号：US15241367
申请日：2016-08-19
Inventor： Shawn M. Call , Michael Shawn Jacob , Scott T. Christensen , Jackie O. Jordan, II , Gregory Dwayne Carter , Shawn C. Bennett
IPC: B60Q1/00 , H04W4/22 , G07C5/00 , G08G1/00 , G08G1/123 , G06Q40/00 , G06Q10/00 , H04W4/02 , H04W4/04
CPC classification number: H04W4/90 , G07C5/008 , G08B21/0446 , G08B25/08 , G08B25/10 , G08G1/205 , H04W4/021 , H04W4/046
Abstract: A crash detection system is disclosed that utilizes a mobile computing device to detect a vehicular accident via one or more sensors integrated into the mobile computing device. The system monitors the sensor metrics measured by one or more sensors and generates an event sensor profile that may include the plurality of sensor metrics and additional status data, such as an indication of whether the mobile computing device was located within a vehicle when the event occurred. By comparing the plurality of sensor metrics to other crash sensor metrics, a determination may be made whether the event requires emergency assistance, which may be confirmed by determining whether the data included in the event sensor profile meets one or more exception conditions. If the event requires emergency assistance and an exception condition is not met, the mobile computing device may place a call to the appropriate emergency response personnel.
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公开(公告)号：US09888371B1
公开(公告)日：2018-02-06
申请号：US14940342
申请日：2015-11-13
Inventor： Michael Shawn Jacob
CPC classification number: H04W4/90 , G08B17/10 , G08B21/10 , G08B25/08 , H04M3/5116 , H04W84/18 , H04W88/02
Abstract: Systems and methods for monitoring a local environment for abnormal conditions (e.g., burglary, intrusion, fire, or flooding) are disclosed. Sensors of a smartphone, tablet computer, or other computing device may be used to obtain sensor data regarding the environment. Such sensor data may relate to sounds, temperatures, lighting, or other conditions within the environment. The observed environmental conditions may be compared against reference levels or patterns to determine abnormal conditions. When abnormal conditions are identified, a response may be determined and implemented, such as alerting a user or contacting an emergency service (e.g., police or fire services). In some circumstances, a training period may be used to determine baseline or threshold levels of normal environmental conditions. Different modes or profiles may be used, which may be associated with different environments (e.g., home, hotel, etc.).
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公开(公告)号：US09390489B1
公开(公告)日：2016-07-12
申请号：US14808502
申请日：2015-07-24
Inventor： Brian N. Harvey , Nathan L. Tofte , Roger D. Schmidgall , Michael Jeffrey Aviles , Kyle Pott , Rosemarie Geier Grant , Eric Haefli , Michael Shawn Jacob
CPC classification number: G06T7/0004 , G06K9/00637 , G06K9/00651 , G06K9/4604 , G06K9/52 , G06K9/6267 , G06T7/0002 , G06T7/0008 , G06T7/0085 , G06T7/60 , G06T7/62 , G06T15/005 , G06T2200/04 , G06T2200/24 , G06T2207/10016 , G06T2207/10021 , G06T2207/10024 , G06T2207/10028 , G06T2207/10032 , G06T2207/10036 , G06T2207/30108 , G06T2207/30184
Abstract: A method and system may assess the damage to infrastructure using aerial images captured from an unmanned aerial vehicle (UAV), a manned aerial vehicle (MAV) or from a satellite device. Specifically, an item of infrastructure may be identified for assessing damage. The UAV, MAV, or satellite device may then capture aerial images within an area which surrounds the identified infrastructure item. Subsequently, the aerial images may be analyzed to determine a condition and the extent and/or severity of the damage to the infrastructure item. Furthermore, the aerial images along with indications of the extent of the damage may be displayed on a computing device.
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公开(公告)号：US12282379B2
公开(公告)日：2025-04-22
申请号：US18528220
申请日：2023-12-04
Inventor： Michael Shawn Jacob , Benjamin D. Schappaugh , William Guthrie , Frank Matthew McCully , Timothy J. Nickel , Brian W. Batronis , Robert D. Rariden
Abstract: Techniques for identifying faults in a collaborative computing system including a plurality of disparate, geographically separated computing systems are described herein. An intelligent monitoring (IM) server computing system may receive data from the plurality of computing devices and may monitor the health of the collaborative computing system. The IM server computing system may analyze the data and identify one or more faults associated with a portion of the collaborative system (e.g., an associated computing device, platform, network, etc.). In some examples, the IM server computing system may be configured to identify potential future faults associated with the portion of the collaborative system. Based on the fault, the IM server computing device may determine an action to take to remedy the fault and/or prevent the potential future fault. The IM server computing device may either automatically perform the action or send a notification to the associated computing system to perform the action.
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