Invention Grant
- Patent Title: Systems and methods for adaptive property analysis via autonomous vehicles
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Application No.: US17087204Application Date: 2020-11-02
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Publication No.: US11720104B2Publication Date: 2023-08-08
- Inventor: Jim Loveland , Leif Larson , Dan Christiansen , Tad Christiansen , Cam Christiansen
- Applicant: Loveland Innovations, Inc.
- Applicant Address: US UT Pleasant Grove
- Assignee: Loveland Innovations, Inc.
- Current Assignee: Loveland Innovations, Inc.
- Current Assignee Address: US UT Pleasant Grove
- Agency: PCFB, LLC
- Agent Justin K. Flanagan
- The original application number of the division: US15388754 2016.12.22
- Main IPC: H04N5/232
- IPC: H04N5/232 ; G01C11/02 ; G08G5/04 ; G05D1/00 ; B64C39/02 ; B64D47/08 ; H04N7/18 ; G06V10/22 ; G06V20/58 ; G06V20/64 ; G06V20/10 ; H04N23/66 ; G06Q40/08 ; G08G5/00 ; B64U101/30

Abstract:
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.
Public/Granted literature
- US20210049918A1 SYSTEMS AND METHODS FOR ADAPTIVE PROPERTY ANALYSIS VIA AUTONOMOUS VEHICLES Public/Granted day:2021-02-18
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