18733633. STRUCTURAL CHARACTERISTIC EXTRACTION USING DRONE-GENERATED 3D IMAGE DATA simplified abstract (STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY)
Contents
STRUCTURAL CHARACTERISTIC EXTRACTION USING DRONE-GENERATED 3D IMAGE DATA
Organization Name
STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
Inventor(s)
Timothy J. Spader of Bloomington IL (US)
George T. Dulee, Jr. of Bloomington IL (US)
Donald Yuhas of Bloomington IL (US)
Aaron Brucker of Marietta GA (US)
Jeffrey Mousty of Normal IL (US)
STRUCTURAL CHARACTERISTIC EXTRACTION USING DRONE-GENERATED 3D IMAGE DATA - A simplified explanation of the abstract
This abstract first appeared for US patent application 18733633 titled 'STRUCTURAL CHARACTERISTIC EXTRACTION USING DRONE-GENERATED 3D IMAGE DATA
The abstract describes a structural analysis computing device that can generate proposed insurance claims and quotes for objects in 3D images, captured by a drone.
- The structural analysis computing device is coupled to a drone for capturing exterior images of objects.
- It includes a memory, user interface, object sensor for capturing 3D images, and a processor for analysis.
- The processor identifies object features using machine learning or pattern recognition, and generates claim forms and quotes.
- Users can review and approve the proposed forms and quotes.
- Key Features and Innovation:**
- Integration of drone technology for capturing 3D images of objects.
- Utilization of machine learning and pattern recognition for object feature identification.
- Automated generation of insurance claim forms and quotes based on the analysis.
- Potential Applications:**
- Insurance industry for faster and more accurate claim processing.
- Property assessment for damage evaluation.
- Risk assessment for uninsured objects.
- Problems Solved:**
- Streamlining insurance claim processes.
- Enhancing accuracy in object feature identification.
- Improving efficiency in generating insurance quotes.
- Benefits:**
- Faster claim processing.
- Increased accuracy in object assessment.
- Enhanced user experience in insurance procedures.
- Commercial Applications:**
Potential commercial uses include insurance companies, property assessment firms, and risk management agencies. This technology can revolutionize the insurance industry by automating and improving claim processes.
- Questions about Structural Analysis Computing Device:**
1. How does the integration of drone technology enhance the analysis of 3D images? 2. What are the specific benefits of using machine learning for object feature identification?
- Frequently Updated Research:**
Stay updated on advancements in drone technology, machine learning algorithms, and insurance industry trends for potential improvements in the structural analysis computing device.
Original Abstract Submitted
A structural analysis computing device may generate a proposed insurance claim and/or generate a proposed insurance quote for an object pictured in a three-dimensional (3D) image. The structural analysis computing device may be coupled to a drone configured to capture exterior images of the object. The structural analysis computing device may include a memory, a user interface, an object sensor configured to capture the 3D image, and a processor in communication with the memory and the object sensor. The processor may access the 3D image including the object, and analyze the 3D images to identify features of the object-such as by inputting the 3D image into a trained machine learning or pattern recognition program. The processor may generate a proposed claim form for a damaged object and/or a proposed quote for an uninsured object, and display the form to a user for their review and/or approval.
- STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
- Timothy J. Spader of Bloomington IL (US)
- George T. Dulee, Jr. of Bloomington IL (US)
- Donald Yuhas of Bloomington IL (US)
- Aaron Brucker of Marietta GA (US)
- Chris Stroh of Anchor IL (US)
- Jeffrey Mousty of Normal IL (US)
- G06Q40/08
- G01C11/02
- G01C11/06
- G06T1/00
- G06T7/593
- G06T7/60
- G06V10/764
- G06V10/82
- G06V20/13
- G06V20/64
- H04N13/204
- CPC G06Q40/08