Ophthalmic Component Determination via Digital Content Analysis
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Solution Overview
Problem
Current methods for determining ophthalmic equipment that match a wearer's needs and particularities are time-consuming and often inaccurate, especially when done online, as they rely on subjective questioning and incomplete wearer awareness.
Innovation Solution
A method utilizing a processor to analyze digital content from the wearer, such as online activity data, pictures, and text, to extract relevant data and process it into a set of characteristics with associated scores, which are then used to determine the optimal components of ophthalmic equipment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional questioning methods are used to determine ophthalmic equipment, then the eye-care professional can understand wearer needs, but the process is time-consuming and subjective
Solution Approach 1:
The patent replaces the mechanical system of direct questioning and manual analysis with an automated digital content analysis system. The processor automatically analyzes digital content (social media posts, photos, text) to extract wearer characteristics, eliminating the time-consuming manual questioning process while maintaining or improving accuracy through objective data-driven insights.
Solution Approach 2:
The system enables self-service by automatically analyzing the wearer's own digital content without requiring their active participation in questionnaires. The wearer's digital footprint serves as the input data, and the system autonomously processes this information to determine suitable ophthalmic equipment, reducing both time and subjectivity.
2Ease of operation
If online questionnaires are used for equipment determination, then wearers can purchase online, but the results may not be accurate due to incomplete wearer awareness
Solution Approach 1:
The patent introduces digital content as an intermediary between the wearer and the equipment determination process. Instead of relying on the wearer's self-reported answers, the system analyzes objective digital content (photos, posts, text) that indirectly reveals wearer characteristics, activities, and preferences, providing more accurate insights while maintaining online purchase convenience.
3Adaptability or versatility
If detailed questioning is performed to capture all wearer needs, then equipment can be better adapted, but the process becomes more complex and time-consuming
Solution Approach 1:
The patent extracts relevant wearer information directly from existing digital content without requiring a complex questioning process. By analyzing already-available digital footprints (social media posts, photos, text), the system captures comprehensive wearer characteristics without adding process complexity, thereby maintaining high adaptability while simplifying the determination process.
Data Source
AI summary
Method for determining an ophthalmic equipment which is adapted to the characteristics of at least a given wearer, the method being implemented by a processor, the method comprising: —providing access to digital content of the wearer (S100), —analyzing the digital content of the wearer so as to extract wearer data (S200), —processing the wearer data so as to obtain a set of characteristics (S300), the set of characteristics comprising at least one category and at least one associated score, and —determining at least one component of an ophthalmic equipment based on the obtained set of characteristics (S400).