System for detecting degree and level of xerophthalmia

Abstract

The invention discloses a system for detecting the degree and level of xerophthalmia. Comprising a control module, and the control module is electrically connected with a communication module; the control module is electrically connected with an algorithm module, the algorithm module is electrically connected with a processing module, and the processing module is electrically connected with a camera module; the control module further comprises an AI learning sub-module. According to the system, a user performs autonomous detection, detected data information and treatment detection are sent to a mobile phone of the user through the communication module, the camera module detects eyeballs through a wide slit lamp band under cobalt blue light through an Euclidean visual quality analysis algorithm, and comparison detection is performed on the eyeballs with xerophthalmia through image comparison. The level of xerophthalmia is judged, a greedy algorithm is adopted for image comparison, matching determination can be achieved to the maximum extent, the learning ability of the system can be improved for the AI learning sub-module, and the system can effectively achieve intelligent analysis and processing.

Description

technical field [0001] The invention belongs to the field of medical technology, and in particular relates to a system for detecting the degree of dry eye disease. Background technique [0002] As people overuse their eyes, various diseases of the eye are caused, and it is easy to cause dry eye syndrome, and the detection of dry eye syndrome depends on the observation of doctors, which causes a greater burden on doctors, and the workload is larger, and it is impossible to achieve fast In this way, it is necessary to realize the intelligent detection of dry eye disease, which can realize the patient's own detection and obtain the detection structure. However, in the existing technology, the detection of dry eye disease is not very effective, but the market There are still various problems with various dry eye assays. [0003] For example, the new type of dry eye detection device disclosed by the authorized announcement number CN110101359A, although it realizes the identifica...

AI Technical Summary

Problems solved by technology

[0002] As people overuse their eyes, various diseases of the eye are caused, and dry eye syndrome is easily caused, and the detection of dry eye syndrome relies on the observation of doctors, which causes a greater burden on doctors, and the workload is larger, and it is impossible to achieve fast In this way, it is necessary to realize the intelligent detection of dry eye disease, which can realize the patient's own detection and obtain the detection structure. However, in the existing technology, the detection of dry eye disease is not very effective. However, the market Various dry eye tests still have various problems

[0003] For example, the new type of dry eye detection device disclosed by the authorized announcement number CN110101359A, although it realizes the identification of dry eye by collecting Placido disks and superimposing processing of human tear film, it does not solve the existing effective methods for different dry eye diseases. level recognition problem, for which we propose a system for detecting dry eye severity levels

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