State Farm Mutual Automobile Insurance Company

Roofr Inc.

Drew Cross

Bryan Allen Plummer

Nathan Lee Tofte

A damage assessment module operating on a computer system automatically evaluates a property, estimating damage to the property by analyzing a point cloud of a property. The damage assessment module identifies individual point clusters or segments from the point cloud and detects potentially damaged areas of the property surface by identifying outlier points in the point clusters. The damage assessment module may be used to determine the financial cost of the damage and/or determine whether the property should be replaced or repaired. In addition to eliminating the need for an estimator to visit the property in person, the damage assessment module improves the consistency and accuracy associated with estimating damage to a property.

Assessing property damage using a 3D point cloud of a scanned property

A damage assessment module operating on a computer system automatically evaluates a roof, estimating damage to the roof by analyzing a point cloud of a roof. The damage assessment module identifies individual shingles from the point cloud and detects potentially damaged areas on each of the shingles. The damage assessment module then maps the potentially damaged areas of each shingle back to the point cloud to determine which areas of the roof are damaged. Based on the estimation, the damage assessment module generates a report on the roof damage.

Utilizing a 3D scanner to estimate damage to a roof

System and methods for assessing a roof

Systems and methods for assessing property damage

Method of estimating damage to a roof

A damage assessment module operating on a computer system generating a model undamaged roof shingle includes using a method based on the average nearest-neighbor distance. The damage assessment module identifies a set of points comprising a first point cloud representing a first shingle and a set of points from a second point cloud representing a second shingle. The damage assessment module then calculates an average nearest-neighbor distance for the set of points. Based on the average, the damage assessment module calculates a threshold distance. The damage assessment module then stores the set of points to memory as a point cloud representing a model roof shingle that can be later retrieved and compared to point clouds of individual shingles. The damage assessment module improves the consistency and accuracy associated with assessment of the roof and eliminates the need for the estimator to use subjective assessment results, which can be inadequate.

Systems and methods for assessing a roof and generating models

A damage assessment module operating on a computer system automatically evaluates a roof, estimating damage to the roof by analyzing a point cloud of a roof. The damage assessment module identifies individual shingles from the point cloud and detects potentially damaged areas on each of the shingles. The damage assessment module then maps the potentially damaged areas of each shingle back to the point cloud to determine which areas of the roof are damaged. Based on the estimation, the damage assessment module generates a report on the roof damage. The report may be used to determine the financial cost of the damage and/or determine whether the roof should be replaced or repaired. In addition to eliminating the need for an estimator to physically climb onto a roof for evaluation purposes, the damage assessment module improves the consistency and accuracy associated with estimating damage to a roof.

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Geneseo, IL, United States of America

Drew Cross