Intelligent voice-guided self-service optometry operation system

The intelligent voice-guided self-service optometry operating system enables voice interaction, real-time physiological parameter collection, and personalized guidance, solving the problems of interaction complexity and inaccurate results of existing self-service optometry equipment, and improving the scientific nature and user experience of optometry.

CN121370046APending Publication Date: 2026-01-23WEIKANG RUILIN TECHNOLOGY (SHANGHAI) CO LTD
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Patent Information

Application Number
CN202511462791.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-10-14
Publication Date
2026-01-23

AI Technical Summary

Technical Problem

Existing self-service optometry equipment has a complex interaction method, which is difficult to adapt to elderly users and users with visual impairment. It lacks historical data utilization, cannot accurately locate visual abnormalities, and lacks personalized guidance, resulting in inaccurate optometry results and low efficiency.

Method used

The self-service optometry operating system, which adopts intelligent voice guidance, includes modules for voice input acquisition, real-time acquisition of optometry data, construction of dynamic optometry models, multi-dimensional difference analysis, and adaptive voice guidance. It generates customized voice commands through voice interaction, real-time physiological parameter acquisition, historical data analysis, and personalized guidance.

Benefits of technology

It reduces the difficulty of operation, improves the scientific nature and accuracy of optometry results, expands the applicable population, provides personalized guidance, and enhances optometry efficiency and user experience.

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Abstract

The invention relates to the technical field of self-service optometry, and discloses an intelligent voice-guided self-service optometry operation system. A voice input acquisition module of the system obtains a user voice instruction, preprocesses the user voice instruction and outputs digital voice data; the optometry data real-time acquisition module synchronously captures eye physiological parameters and a vision test response sequence to generate an actually measured optometry data set; the dynamic optometry model construction module is used for outputting a vision state prediction value based on a historical optometry data warehouse training model; a multi-dimensional difference analysis module calculates a multi-dimensional deviation between a predicted value and an actually measured optometry data set, and generates an optometry difference index matrix; the visual problem positioning module executes spatial distribution mapping according to the matrix and outputs a thermodynamic diagram of a visual anomaly region; the adaptive voice guidance module generates a customized voice guidance instruction sequence based on the thermodynamic diagram. According to the system, optometry interaction convenience and data processing scientificity are improved, visual abnormity is accurately positioned, personalized guidance is provided, and self-service optometry experience and result accuracy are improved.
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