Vision dynamic detection and early warning method

Abstract

The invention provides a vision dynamic detection and early warning method, and is applied to a vision detection device, the vision detection device is connected to the Internet of Things, and the method comprises the following steps: starting the vision detection device, detecting environmental conditions, detecting man-machine distance, and displaying vision marks on a display screen according to a conversion proportion; a user inputs a remote control value through the remote controller, and the vision detection device judges the accuracy according to the input remote control value; the size of the vision mark icon is changed according to the accuracy of the remote control value; after vision detection is finished, a detection numerical value is calculated and stored according to a vision detection standard distance formula, and then a data statistics interface is entered; recent vision detection values are counted, an oscillogram is drawn, and changes of the vision values and historical data are judged to give an early warning; compared with the prior art, the method has the advantages that the constraint of fixed-distance detection can be broken through, the application range of vision detection is widened, and the early warning effect of early warning in time and early warning for preventing unhappened myopia can be achieved through long-term detection tracking and vision change trend analysis.

Description

technical field [0001] The invention relates to the technical field of vision detection and early warning, in particular to a dynamic vision detection and early warning method. Background technique [0002] There is only one option of using a logarithmic vision chart in the existing household vision detection method, and the vision chart has two forms of paper and box. There are four main problems in using eye charts for vision testing: [0003] 1. The position of the person to be detected is fixed. Whether it is a 3-meter or 5-meter detection meter, fixed-distance detection is required. Even if the actual distance is reduced by mirror reflection, the limitation of the fixed detection position cannot be changed. [0004] 2. Because of the fixed-distance detection, when the person to be tested cannot see the largest character mark clearly, the detection method cannot effectively detect the actual vision; and when the person to be tested can see the smallest character mark cl...

AI Technical Summary

Problems solved by technology

[0004] 2. Because of the fixed-distance detection, when the person to be tested cannot see the largest character mark clearly, the detection method cannot effectively detect the actual vision; and when the person to be tested can see the smallest character mark clearly, the detection method cannot effectively detect actual vision

[0005] 3. This method can only be used as a means of visual inspection, and does not have the ability to collect and analyze data

[0006] 4. Due to the lack of data collection capabilities, this method cannot be effectively applied to the prevention of myopia, and does not have the function of early warning of myopia

Images