Hover, Inc.

Javier Cambon Sanjurjo

Derek Halliday

Steven Caamano

Manish Upendran

Brandon Scott

Dario Rethage

Randy Lacasse

Identifying a pre-existing three-dimensional (3D) model of a target structure includes receiving at least one two-dimensional (2D) image of a target physical structure; generating a predicted 3D model of the target structure based on the at least one 2D image; generating a search descriptor of the predicted 3D model; querying a data structure storing a plurality of pre-existing descriptors, where each pre-existing descriptor characterizes a previously constructed 3D model of an associated physical structure; and identifying at least one previously constructed 3D model that is substantially similar to the predicted 3D model based on a difference between the search descriptor and the plurality of pre-existing descriptors.

Structural modification detection using descriptor-based querying

Disclosed are systems and method for determining information related to building materials based on determined measurements from a multi-dimensional building model comprising features and elements embodying such materials and measurements. The multi-dimensional model may be based on a plurality of received images, such as ground-based images of a building. The multi-dimensional model may be scaled, or a scale extracted based on data of the model. The multi-dimensional model may comprise architectural elements, and the scale used to determine measurements of such architectural elements. With the scaled measurements of the architectural elements in the model, product information related to multi-dimensional model and its elements may be derived and combined in alternative means.

3D building model materials auto-populator

Disclosed are systems and method for automatic building material ordering based on determined measurements from a multi-dimensional building model. The multi-dimensional model may be based on a plurality of received images, such as ground-based images of a building. The multi-dimensional model may be scaled, or a scale extracted based on data of the model. The multi-dimensional model may comprise architectural elements, and the scale used to determine measurements of such architectural elements. With the scaled measurements of the architectural elements in the model, product information related to multi-dimensional model may be processed, such as confirming availability of the sizes and quantities associated with the architectural elements. Ordering manufacturer products may based on the processed information.

A system and method is provided for automatic building material ordering that includes directing capture of building images of the building at a location, building a scaled multi-dimensional building model based on the building images, extracting, based on the scaled multi-dimensional building model, dimensions of at least one architectural feature from the scaled multi-dimensional building model, identifying a set of possible manufacturer products matching the dimensions of the at least one architectural feature, receiving user preferences related to the set of possible manufacturer products, auto-populating, based on the user preferences, a select list of the manufacturer products, auto-ordering manufacturer products from the select list of the manufacturer products and auto-tracking the ordered manufacturer products until delivery to the location.

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San Francisco, CA, United States of America

Javier Cambon Sanjurjo