Assurant‘s patent involves an apparatus, method, and computer program for predicting the elevation of an architectural feature at a specific location. Using machine learning and LiDAR data, the technology receives location data, predicts elevation, and transmits results to the client device. GlobalData’s report on Assurant gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Assurant, Cloud computing disaster recovery was a key innovation area identified from patents. Assurant's grant share as of January 2024 was 75%. Grant share is based on the ratio of number of grants to total number of patents.

Predicting elevation position of architectural feature using machine learning

Source: United States Patent and Trademark Office (USPTO). Credit: Assurant Inc

A recently granted patent (Publication Number: US11852728B2) discloses an apparatus, method, and computer program product for predicting the elevation position of an architectural feature of a structure. The apparatus includes at least one processor and memory with computer program code to receive location identification data and context data, apply it to a model, predict the elevation position, and transmit it to a client device. The context data can include ranging data or topographical data, and the model is trained using location context data and known elevation positions.

Furthermore, the method and computer program product outlined in the patent involve similar steps of receiving location data, applying it to a model, and transmitting the predicted elevation position to the client device. The method includes receiving context data associated with the geographic location, while the computer program product comprises non-transitory computer-readable storage medium with program code instructions for executing the prediction process. Additionally, the patent mentions the use of a machine learning model to make predictions and the generation of a control signal to display the elevation position on a user interface. The prediction process can also involve predicting a finished floor elevation position based on the location identification data.

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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.