State Farm Mutual Automobile Insurance had 28 patents in metaverse during Q2 2024. State Farm Mutual Automobile Insurance Co has filed patents related to utilizing LIDAR data and AI to create 3D models of landscapes, detecting health conditions in home environments using sensor data, identifying emergency conditions in structures and initiating remediation procedures, detecting water hazard conditions near structures, and generating alerts for unsafe or unhealthy home conditions when residents are not present. GlobalData’s report on State Farm Mutual Automobile Insurance gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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State Farm Mutual Automobile Insurance had no grants in metaverse as a theme in Q2 2024.
Recent Patents
Application: Systems and methods for a 3d model for visualization of landscape design (Patent ID: US20240185601A1)
The patent filed by State Farm Mutual Automobile Insurance Co. describes a system that utilizes LIDAR data to measure dimensions of a landscape and create a 3D model including structures, vegetation, and pathways. The system also incorporates artificial intelligence through a machine learning algorithm to provide recommendations for object placement in the landscape based on user input and preexisting data. Additionally, the system can integrate data from drones and GPS to enhance the accuracy of the 3D model.
The computer-implemented method and system outlined in the patent focus on visualizing landscape design by utilizing LIDAR data to create detailed 3D models. By incorporating machine learning algorithms, such as convolutional neural networks, the system can provide personalized recommendations for object placement within the landscape. Furthermore, the inclusion of drone data and GPS information enhances the precision of the 3D model, allowing for a more comprehensive representation of the landscape. Overall, the patent highlights a sophisticated system that combines LIDAR technology, artificial intelligence, and additional data sources to optimize landscape visualization and design processes.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
