Menicon has been granted a patent for a determination system that utilizes a computing device to assess eye health. The system gathers data from various sources, including contact lens sensors and tear fluid, to recommend suitable contact lenses based on dryness and potential allergic reactions. GlobalData’s report on Menicon gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Menicon, Opthalmic lenses 3D Printing was a key innovation area identified from patents. Menicon's grant share as of July 2024 was 48%. Grant share is based on the ratio of number of grants to total number of patents.
Contact lens recommendation system based on eye data
The granted patent US12064237B2 outlines a determination system designed to recommend suitable contact lenses for individuals based on comprehensive eye-related data. The system utilizes a computing device that gathers information from multiple data sources, including sensors embedded in contact lenses and their storage containers, measurement devices, tear fluid, and diagnostic processes. The primary objective is to assess the eye's dryness and identify any allergic reactions by analyzing biomarkers detected over time. This information is then used to recommend the most appropriate type of contact lens for the target person, ensuring a tailored approach to eye care.
Additionally, the patent details the methodology employed by the computing device, which involves obtaining relevant data from the aforementioned sources and making determinations based on this information. The system can analyze various characteristics, such as biomarker concentration and type, to enhance the accuracy of its recommendations. The claims also highlight the potential integration of mobile devices to further enrich the data pool. Overall, the determination system aims to improve the user experience for contact lens wearers by providing personalized recommendations based on real-time eye health assessments.
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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.
