State Farm Mutual Automobile Insurance had 19 patents in robotics during Q2 2024. State Farm Mutual Automobile Insurance Co has filed patents for computer systems and devices that utilize unmanned vehicles, sensors, and AI to identify flood risk areas, transmit weather notifications to policyholders, analyze landscapes using LIDAR data, detect water hazard conditions near structures, and visualize exposure data for catastrophe analysis. These technologies aim to improve risk assessment, provide timely alerts, and facilitate prompt insurance payouts for those impacted by natural disasters. 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 robotics as a theme in Q2 2024.
Recent Patents
Application: Systems and methods for enhancing water safety using sensor and unmanned vehicle technologies (Patent ID: US20240212495A1)
State Farm Mutual Automobile Insurance Co. has filed a patent for a computer system designed to identify flood risk areas using unmanned vehicles and sensors. The system receives real-time topography and water data, determines flood risk areas based on stored and received data, generates alerts with flood maps, and transmits them to user devices. Additionally, the system can create user lists, store data, and provide weather-related flood risk notifications.
Furthermore, the patent includes a method for controlling and monitoring swimming pool water levels to identify flood risk situations. By receiving water data from sensors in the pool, the system determines flood risk based on thresholds for leaks or overflowing. Alerts are generated and transmitted to users, including water leak alerts and instructions for draining the pool if necessary. The system can also store data and provide different types of alerts based on the risk level identified.
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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.
