Student eyesight detection system based on big data

Abstract

The invention discloses a student eyesight detection system based on big data. The student eyesight detection system comprises a camera, an identification unit, a database, an analysis module, a display screen, a judgment module, a monitoring module and a sending module. The camera is used for obtaining the eyesight test condition of a student and automatically obtaining image information, the image information comprises student name data and image data, and the image information is transmitted to a recognition unit; the recognition unit is used for recognizing the image information and conducting recognition operation on the image information. With a determining module, direction judgment is carried out on the X-axis difference value and the Y-axis difference value analyzed by the analysis module and the corresponding diopter data are extracted; and the actual value of the measured diopter is calculated according to the influence factors of the diopter data and the distance differencevalue and the time difference value, so that the eyesight diopter of a student is obtained, the influence change of variable factors is reduced, the accuracy of the data is improved, the time consumed for measuring the diopter is saved, and the working efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of vision detection, in particular to a student vision detection system based on big data. Background technique [0002] Vision is the ability of the retina to distinguish images. The quality of eyesight is judged by the ability of the retina to distinguish images. With the development of society and the increase of electronic products, the eyesight of primary and middle school students has declined under the influence of these products. Parents usually take their children to test their eyesight at intervals . [0003] The existing vision test is usually to hang an eye chart on the wall, and draw a test line on the ground, and the children will measure the vision after standing on the line. The scale of the test table is enlarged, and there will be some errors in the side vision after the child is measured, so that the child's vision cannot be accurately analyzed. For this reason, we propose a student visi...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a student vision detection system based on big data, through the setting of the identification unit, identify the student vision test status acquired in the camera, and accurately identify the acquired image information, convert the image into data information, It is then transmitted to the analysis module for analysis of relevant data to solve the problem that the relevant data cannot be accurately analyzed in the prior art, avoiding large errors in the data, thereby increasing the accuracy of the data, increasing the persuasion of the data information, and saving analysis Time, improve work efficiency, through the setting of the judgment module, the direction of the X-axis difference and the Y-axis difference analyzed by the analysis module is determined, and the corresponding degree data is extracted, according to its influence on the distance difference and time difference factor, calculate the actual value of the measured degree, and thus obtain the student's vision degree, to solve the problem that the student's degree cannot be accurately calculated in the prior art, reduce the influence of variable factors, increase the accuracy of the data, and save the cost of measuring the degree Consumption of time, improve work efficiency

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