Systems and methods for adaptive property analysis via autonomous vehicles
摘要:
An unmanned aerial vehicle (UAV) assessment and reporting system may conduct micro scans of a wide variety of property types. Scan data from any of a wide variety of sensor types may be compared with profile data using computer vision techniques to identify characteristics, defects, damage, construction materials, and the like. A hierarchal structure of the scan data may reduce the size of data sets used for property identification. For example, identifying a material type of a property may reduce or eliminate the need to compare scan data with specific data profiles for defects not related to the identified material type. Similarly, identifying a particular characteristic of a property may narrow down the data sets of possible material types. A rule set evaluator may evaluate matched profile data to determine adaptive actions to modify the navigation or scanning process of the UAV.
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