Patents Assigned to Cape Analytics, Inc.
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Patent number: 11967097Abstract: In variants, the method for change analysis can include detecting a rare change in a geographic region by comparing a first and second representation, extracted from a first and second geographic region measurement sampled at a first and second time, respectively, using a common-change-agnostic model.Type: GrantFiled: April 28, 2023Date of Patent: April 23, 2024Assignee: CAPE ANALYTICS, INC.Inventors: Matthieu Portail, Christopher Wegg, Fabian Richter
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Publication number: 20240112273Abstract: In variants, the method for property condition analysis can include: determining a measurement, optionally determining a set of property attributes, determining a condition score, optionally providing the condition score, and optionally training a condition scoring model.Type: ApplicationFiled: December 4, 2023Publication date: April 4, 2024Applicant: Cape Analytics, Inc.Inventors: Kyler J. Brown, Sarah Cebulski
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Patent number: 11935276Abstract: In variants, the method for subjective property scoring can include determining an objective score for a subjective characteristic of a property using a model trained using subjective property rankings.Type: GrantFiled: January 24, 2023Date of Patent: March 19, 2024Assignee: Cape Analytics, Inc.Inventor: Matthieu Portail
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Patent number: 11875413Abstract: In variants, the method for property condition analysis can include: determining a measurement, optionally determining a set of property attributes, determining a condition score, optionally providing the condition score, and optionally training a condition scoring model.Type: GrantFiled: July 6, 2022Date of Patent: January 16, 2024Assignee: Cape Analytics, Inc.Inventors: Kyler Brown, Sarah Cebulski
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Patent number: 11861880Abstract: The method for property typicality determination can include: determining a property, determining attribute values for the property, determining a reference population for the property, determining reference population attribute values, determining a typicality metric for the property, and optionally determining an influential attribute.Type: GrantFiled: October 18, 2022Date of Patent: January 2, 2024Assignee: Cape Analytics, Inc.Inventors: Sarah Cebulski, Kyler J. Brown
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Patent number: 11861843Abstract: In variants, the method can include: determining a timeseries of measurements of a geographic region; determining a set of object representations from the timeseries of measurements; and determining a timeseries of object versions based on relationships between the object representations.Type: GrantFiled: January 19, 2023Date of Patent: January 2, 2024Assignee: Cape Analytics, Inc.Inventors: Matthieu Portail, Christopher Wegg, Mohammad-Ali Nikouei
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Patent number: 11676298Abstract: In variants, the method for change analysis can include detecting a rare change in a geographic region by comparing a first and second representation, extracted from a first and second geographic region measurement sampled at a first and second time, respectively, using a common-change-agnostic model.Type: GrantFiled: December 2, 2022Date of Patent: June 13, 2023Assignee: Cape Analytics, Inc.Inventors: Matthieu Portail, Christopher Wegg, Fabian Richter
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Patent number: 11640667Abstract: The method for determining property feature segmentation includes: receiving a region image for a region; determining parcel data for the region; determining a final segmentation output based on the region image and parcel data using a trained segmentation module; optionally generating training data; and training a segmentation module using the training data S500.Type: GrantFiled: November 18, 2021Date of Patent: May 2, 2023Assignee: Cape Analytics, Inc.Inventors: Fabian Richter, Matthieu Portail, Jason Erickson
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Patent number: 11631235Abstract: In variants, the method for occlusion correction can include: determining a measurement depicting an occluded object of interest (OOI), optionally infilling the occluded portion of the object of interest within the measurement, and determining an attribute of the object of interest based on the infilled measurement.Type: GrantFiled: July 21, 2022Date of Patent: April 18, 2023Assignee: Cape Analytics, Inc.Inventors: Giacomo Vianello, Peter Lorenzen
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Patent number: 11568639Abstract: Disclosed systems and methods relate to remote sensing, deep learning, and object detection. Some embodiments relate to machine learning for object detection, which includes, for example, identifying a class of pixel in a target image and generating a label image based on a parameter set. Other embodiments relate to machine learning for geometry extraction, which includes, for example, determining heights of one or more regions in a target image and determining a geometric object property in a target image. Yet other embodiments relate to machine learning for alignment, which includes, for example, aligning images via direct or indirect estimation of transformation parameters.Type: GrantFiled: September 15, 2021Date of Patent: January 31, 2023Assignee: Cape Analytics, Inc.Inventors: Ryan Kottenstette, Peter Lorenzen, Suat Gedikli
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Patent number: 11367265Abstract: In variants, the method for automatic debris detection includes: determining a region image; optionally determining a parcel representation for the region image; generating a debris representation using the region image; generating a debris score based on the debris representation; and optionally monitoring the debris score over time.Type: GrantFiled: October 15, 2021Date of Patent: June 21, 2022Assignee: Cape Analytics, Inc.Inventors: Giacomo Vianello, Robert Davis, John K. Clark, Jonathan M. Fisher
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Patent number: 11232150Abstract: The method for determining a geographic identifier including: determining a location description; determining parcel data; determining a georeferenced image based on the location description; generating a set of image features using the georeferenced image; optionally determining a built structure class; identifying a location of interest within the georeferenced image based on the set of features; determining a geographic identifier associated with the location of interest based on the image georeference; associating the geographic identifier with the location description; optionally returning the geographic identifier in response to the location description comprising an address; and optionally returning an address in response to the location description comprising a geographic coordinates.Type: GrantFiled: April 12, 2021Date of Patent: January 25, 2022Assignee: Cape Analytics, Inc.Inventors: Giacomo Vianello, Matthieu Portail
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Patent number: 11222426Abstract: The method for determining property feature segmentation includes: receiving a region image for a region; determining parcel data for the region; determining a final segmentation output based on the region image and parcel data using a trained segmentation module; optionally generating training data; and training a segmentation module using the training data S500.Type: GrantFiled: June 1, 2021Date of Patent: January 11, 2022Assignee: Cape Analytics, Inc.Inventors: Fabian Richter, Matthieu Portail, Jason Erickson
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Patent number: 11210552Abstract: Systems and methods are provided for automatically detecting a change in a feature. For example, a system includes a memory and a processor configured to analyze a change associated with a feature over a period of time using a plurality of remotely sensed time series images. Upon execution, the system would receive a plurality of remotely sensed time series images, extract a feature from the plurality of remotely sensed time series images, generate at least two time series feature vectors based on the feature, where the at least two time series feature vectors correspond to the feature at two different times, create a neural network model configured to predict a change in the feature at a specified time, and determine, using the neural network model, the change in the feature at a specified time based on a change between the at least two time series feature vectors.Type: GrantFiled: November 13, 2019Date of Patent: December 28, 2021Assignee: Cape Analytics, Inc.Inventors: Ingo Kossyk, Suat Gedikli
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Patent number: 11151378Abstract: Disclosed systems and methods relate to remote sensing, deep learning, and object detection. Some embodiments relate to machine learning for object detection, which includes, for example, identifying a class of pixel in a target image and generating a label image based on a parameter set. Other embodiments relate to machine learning for geometry extraction, which includes, for example, determining heights of one or more regions in a target image and determining a geometric object property in a target image. Yet other embodiments relate to machine learning for alignment, which includes, for example, aligning images via direct or indirect estimation of transformation parameters.Type: GrantFiled: March 27, 2020Date of Patent: October 19, 2021Assignee: Cape Analytics, Inc.Inventors: Ryan Kottenstette, Peter Lorenzen, Suat Gedikli
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Patent number: 10643072Abstract: Disclosed systems and methods relate to remote sensing, deep learning, and object detection. Some embodiments relate to machine learning for object detection, which includes, for example, identifying a class of pixel in a target image and generating a label image based on a parameter set. Other embodiments relate to machine learning for geometry extraction, which includes, for example, determining heights of one or more regions in a target image and determining a geometric object property in a target image. Yet other embodiments relate to machine learning for alignment, which includes, for example, aligning images via direct or indirect estimation of transformation parameters.Type: GrantFiled: March 14, 2019Date of Patent: May 5, 2020Assignee: Cape Analytics, Inc.Inventors: Ryan Kottenstette, Peter Lorenzen, Suat Gedikli
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Patent number: 10366288Abstract: Disclosed systems and methods relate to remote sensing, deep learning, and object detection. Some embodiments relate to machine learning for object detection, which includes, for example, identifying a class of pixel in a target image and generating a label image based on a parameter set. Other embodiments relate to machine learning for geometry extraction, which includes, for example, determining heights of one or more regions in a target image and determining a geometric object property in a target image. Yet other embodiments relate to machine learning for alignment, which includes, for example, aligning images via direct or indirect estimation of transformation parameters.Type: GrantFiled: March 14, 2019Date of Patent: July 30, 2019Assignee: CAPE ANALYTICS, INC.Inventors: Ryan Kottenstette, Peter Lorenzen, Suat Gedikli
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Patent number: 10311302Abstract: Disclosed systems and methods relate to remote sensing, deep learning, and object detection. Some embodiments relate to machine learning for object detection, which includes, for example, identifying a class of pixel in a target image and generating a label image based on a parameter set. Other embodiments relate to machine learning for geometry extraction, which includes, for example, determining heights of one or more regions in a target image and determining a geometric object property in a target image. Yet other embodiments relate to machine learning for alignment, which includes, for example, aligning images via direct or indirect estimation of transformation parameters.Type: GrantFiled: August 31, 2016Date of Patent: June 4, 2019Assignee: Cape Analytics, Inc.Inventors: Ryan Kottenstette, Peter Lorenzen, Suat Gedikli