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Self-adaptive eyesight test intelligent system and eyesight test method

A vision detection and intelligent system technology, applied in the field of intelligent systems, can solve the problems of inaccurate data results, inconvenient data processing, and fixed detection signals, etc., and achieve the effects of simple statistics and archiving, reducing the number of medical personnel, and convenient processing

Inactive Publication Date: 2012-07-25
TIANJIN UNIVERSITY OF TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] The purpose of the present invention is to solve the technical flaws in the existing vision detection equipment and monitoring methods, such as the detection signal is fixed, rigid, and inconvenient for data processing; Detecting data errors or inaccurate data results; providing an adaptive vision detection intelligent system and vision detection method

Method used

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  • Self-adaptive eyesight test intelligent system and eyesight test method

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Embodiment 1

[0039] Embodiment 1, adaptive visual acuity detection intelligent system

[0040] like figure 1 As shown, the specific structure of the adaptive vision detection intelligent system provided by the present invention includes a subject identification unit 1, a detection visual mark display unit 2, a direction selection trigger unit 4, a detection data processing unit 5, and a detection information management unit 6 ; The subject identification unit, the detection visual mark display unit and the selection trigger unit are external devices connected with the computer host.

[0041] Subject identification unit 1: a radio frequency identification (RFID) wireless read-write device, which automatically identifies the target object and obtains relevant data through radio frequency signals. That is, the personal identification information of the examinee is used as the key value of the database, so that the vision detection information management unit realizes information management a...

Embodiment 2

[0046] Embodiment 2, description of adaptive vision detection method

[0047] The method for realizing adaptive vision detection by adopting the adaptive vision detection intelligent system described in embodiment 1 includes:

[0048] 1. The detection data processing unit transmits the control data of the size of the visual target and the direction of the visual target obtained after processing to the detection visual target display unit;

[0049] 2. The detection visual mark display unit displays the visual mark signal to the subject standing outside the specified distance;

[0050] 3rd, the subject reads the visual mark signal, selects and triggers the corresponding direction key on the selection trigger unit 4 (see Figure 5 ), sending a feedback signal to the host computer;

[0051] 4. The detection data processing unit 5 running on the computer host screens and processes the feedback signal, or gives the true value of the tester's eyesight, or returns to step 1 to conti...

Embodiment 3

[0067] Embodiment 3, the usage method of adaptive human vision detection intelligent system

[0068] The using method of the adaptive human vision detection intelligent system that the present invention relates to is:

[0069] 1. The subject enters the test process of the vision test system through the radio frequency identification card.

[0070] 2. The subject reads the optotype signal displayed by the detection optotype display unit, selects the optotype button of the trigger unit, and sends a feedback signal to the system.

[0071] 3. The vision detection data processing unit receives the visual target selection feedback signal, and performs comprehensive screening and processing of the signal

[0072] a. Make a control decision to make the visual target smaller or larger, correct the visual target signal and send it to the display unit for detecting the visual target, and cycle to 2.

[0073] b. Make a decision to end the monocular test or the end of the binocular test ...

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Abstract

The invention discloses a self-adaptive eyesight test intelligent system and an eyesight test method. The system comprises a subject recognition unit, a test eyesight target display unit, a direction-selection triggering unit, a test data processing unit and a test information management unit. The core of the system is a self-adaptive cycle processing flow of eyesight test data composed of the test eyesight target display unit, the direction-selection triggering unit and the test data processing unit. An eyesight target signal occurred on the test eyesight target display unit generates random transformation of four directions each time, and the size of the eyesight target matches with the logarithm international eyesight test standard. The subject selects a triggering button according to his own eyesight. The test data processing unit acquires test data through a bluetooth device, and automatically obtains a true eyesight value of the subject after a plurality of cycle processing. The self-adaptive eyesight test intelligent system and eyesight test method lowers the medical service cost of the eyesight test process, and makes the eyesight test flow more accurate, precise, convenient, rapid and intelligent.

Description

technical field [0001] The invention discloses an intelligent system for automatic detection of human vision and data processing. Its content involves computer data processing technology fields such as international standard vision detection methods, RFID technology, Bluetooth communication technology, Internet of Things technology, and data mining. Background technique [0002] Visual acuity, also known as central vision, reflects the visual function at the center of the macula. The vision beyond 5 meters is called distance vision, and the vision when reading at 30 cm is called near vision. To resolve two points, two cone cells must be excited in the retina separated by at least one inactive cone cell. The diameter of the pyramidal cells in the fovea of ​​the macula is 1-1.5 microns. The resolution of the normal human eye is 1' angle of view, which is equivalent to a distance of 4.96 microns on the retina. The eye chart is designed according to this principle. Angle of...

Claims

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Application Information

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IPC IPC(8): A61B3/032
Inventor 仲伟佇余星
Owner TIANJIN UNIVERSITY OF TECHNOLOGY
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