Method for field identification of roofing materials
    2.
    发明授权
    Method for field identification of roofing materials 有权
    屋顶材料现场识别方法

    公开(公告)号:US09582832B1

    公开(公告)日:2017-02-28

    申请号:US14841810

    申请日:2015-09-01

    CPC classification number: G06Q40/08

    Abstract: In a computer-implemented method of roofing material identification, image data corresponding to one or more images of roofing materials may be received. The image data may be processed to determine pertinent characteristics of the roofing materials. The determined characteristics and a characteristics database storing data indicative of associations between a plurality of roofing material products and characteristics of the plurality of roofing material products, may be used to identify a roofing material product associated with the pertinent characteristics. An indication of the identified roofing material product may be provided (e.g., to facilitate claim processing).

    Abstract translation: 在屋顶材料识别的计算机实现方法中,可以接收对应于屋顶材料的一个或多个图像的图像数据。 可以处理图像数据以确定屋顶材料的相关特性。 所确定的特征和特征数据库可以存储指示多个屋顶材料产品和多个屋顶材料产品的特性之间的关联的数据,以识别与相关特征相关的屋顶材料产品。 可以提供识别的屋顶材料产品的指示(例如,以便于索赔处理)。

    Vehicle collision alert system and method

    公开(公告)号:US11574544B1

    公开(公告)日:2023-02-07

    申请号:US16986910

    申请日:2020-08-06

    Abstract: An impairment analysis (“IA”) computer system for detecting an impairment is provided. The IA computer system is associated with a host vehicle, and includes at least one processor in communication with at least one memory device. The at least one processor is programmed to: (i) interrogate or otherwise scan a target vehicle by using a plurality of sensors included on a host vehicle to scan the target vehicle and a target driver; (ii) receive sensor data including target driver data and target vehicle condition data; (iii) analyze the sensor data by applying a baseline model to the sensor data; (iv) detect an impairment of the target driver or target vehicle based upon the analysis; and/or (v) output an alert signal to a host vehicle controller, or direct collision preventing actions (such as automatically engage vehicle safety systems), based upon the determination that the target driver or target vehicle is impaired.

    VEHICLE COLLISION ALERT SYSTEM AND METHOD FOR DIRECTING COLLISION AVOIDANCE ACTION

    公开(公告)号:US20210316720A1

    公开(公告)日:2021-10-14

    申请号:US15982834

    申请日:2018-05-17

    Abstract: An impairment analysis (“IA”) computer system for detecting a driver or vehicle impairment is provided. The IA computer system is associated with a host vehicle, and includes a plurality of sensors, and at least one processor in communication with the plurality of sensors and at least one memory device. The at least one processor is programmed to: (i) interrogate a target vehicle via the plurality of sensors by scanning at least one of the target vehicle and a target driver; (ii) receive sensor data including at least one of target driver data and target vehicle condition data; (iii) analyze the sensor data to determine whether at least one of lane drift and vehicle speed deviation for the target vehicle exceeds a respective threshold; (iv) detect an impairment of the target driver or target vehicle based upon the analysis; and/or (v) direct collision avoidance action based upon the detection.

    Vehicle collision alert system and method for facilitating vehicle collision avoidance

    公开(公告)号:US11084487B1

    公开(公告)日:2021-08-10

    申请号:US15982830

    申请日:2018-05-17

    Abstract: An impairment analysis (“IA”) computer system for detecting a driver or vehicle impairment to facilitate vehicle collision avoidance is provided. The IA computer system is associated with a host vehicle, and includes at least one processor in communication with at least one memory device. The at least one processor is programmed to: (i) interrogate a target vehicle via the plurality of sensors by scanning at least one of the target vehicle and a target driver of the target vehicle; (ii) receive sensor data including at least one of target driver data and target vehicle condition data; (iii) analyze the sensor data by determining at least one outlier within the sensor data; (iv) detect an impairment of at least one of the target driver and the target vehicle based upon the analysis; and/or (v) direct corrective action based upon the detected impairment.

    APPARATUSES, SYSTEMS AND METHODS FOR GENERATING A BASE-LINE PROBABLE ROOF LOSS CONFIDENCE SCORE

    公开(公告)号:US20230052041A1

    公开(公告)日:2023-02-16

    申请号:US17978059

    申请日:2022-10-31

    Abstract: Apparatuses, systems and methods are provided for generating a base-line probable roof loss confidence score. More particularly, apparatuses, systems and methods are provided for generating a base-line probable roof loss confidence score based on hail data. The apparatuses, systems and methods may generate a probable roof loss confidence score. The apparatuses, systems and methods may generate verified probable roof loss confidence score data. The apparatuses, systems and methods may generate property insurance underwriting data based on probable roof loss confidence score data. The apparatuses, systems and methods may generate property insurance claims data based on probable roof loss confidence score data. The apparatuses, systems and methods may generate property insurance loss mitigation data based on probable roof loss confidence score data.

    Systems and Methods for Automating Property Assessment Using Probable Roof Loss Confidence Scores

    公开(公告)号:US20220414781A1

    公开(公告)日:2022-12-29

    申请号:US17356764

    申请日:2021-06-24

    Abstract: Systems and methods are provided for automating property assessment using probable roof loss confidence scores. More particularly, the systems and methods may generate a base-line probable roof loss confidence score based upon buildings, roof, weather, hail, and climate data. The systems and methods may predict a specific event and a set of characteristics of the specific event. The systems and methods may predict a level of roof damage and a cost of roof damage based upon the predicted level of roof damage. The systems and methods may adjust a risk-related factor, and may further adjust policy parameters based upon the risk-related factor. A probable roof loss confidence score may be generated, as well as property insurance claims data or property insurance loss mitigation data based upon probable roof loss confidence score data.

    Method for field identification of roofing materials

    公开(公告)号:US10147143B1

    公开(公告)日:2018-12-04

    申请号:US15377098

    申请日:2016-12-13

    Abstract: In a computer-implemented method of roofing material identification, image data corresponding to one or more images of roofing materials may be received. The image data may be processed to determine pertinent characteristics of the roofing materials. The determined characteristics and a characteristics database storing data indicative of associations between a plurality of roofing material products and characteristics of the plurality of roofing material products, may be used to identify a roofing material product associated with the pertinent characteristics. An indication of the identified roofing material product may be provided (e.g., to facilitate claim processing).

    Systems and Methods for Automating Property Assessment Using Probable Roof Loss Confidence Scores

    公开(公告)号:US20250078168A1

    公开(公告)日:2025-03-06

    申请号:US18949744

    申请日:2024-11-15

    Abstract: Systems and methods are provided for automating property assessment using probable roof loss confidence scores. More particularly, the systems and methods may generate a base-line probable roof loss confidence score based upon buildings, roof, weather, hail, and climate data. The systems and methods may predict a specific event and a set of characteristics of the specific event. The systems and methods may predict a level of roof damage and a cost of roof damage based upon the predicted level of roof damage. The systems and methods may adjust a risk-related factor, and may further adjust policy parameters based upon the risk-related factor. A probable roof loss confidence score may be generated, as well as property insurance claims data or property insurance loss mitigation data based upon probable roof loss confidence score data.

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