CN113100703A - Dynamic eyesight detection and early warning method - Google Patents
Dynamic eyesight detection and early warning method Download PDFInfo
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- CN113100703A CN113100703A CN202110376989.6A CN202110376989A CN113100703A CN 113100703 A CN113100703 A CN 113100703A CN 202110376989 A CN202110376989 A CN 202110376989A CN 113100703 A CN113100703 A CN 113100703A
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- 230000004438 eyesight Effects 0.000 title claims abstract description 131
- 238000001514 detection method Methods 0.000 title claims abstract description 111
- 238000000034 method Methods 0.000 title claims abstract description 37
- 230000000007 visual effect Effects 0.000 claims abstract description 9
- 238000006243 chemical reaction Methods 0.000 claims abstract description 5
- 230000007613 environmental effect Effects 0.000 claims abstract description 4
- 239000003550 marker Substances 0.000 claims abstract description 4
- 238000007689 inspection Methods 0.000 claims description 16
- 238000013500 data storage Methods 0.000 claims description 6
- 230000001174 ascending effect Effects 0.000 claims description 3
- 230000001360 synchronised effect Effects 0.000 claims description 3
- 230000004379 myopia Effects 0.000 abstract description 5
- 208000001491 myopia Diseases 0.000 abstract description 5
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- 230000007774 longterm Effects 0.000 abstract description 2
- 238000013480 data collection Methods 0.000 description 3
- 230000004304 visual acuity Effects 0.000 description 3
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- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/02—Subjective types, i.e. testing apparatus requiring the active assistance of the patient
- A61B3/028—Subjective types, i.e. testing apparatus requiring the active assistance of the patient for testing visual acuity; for determination of refraction, e.g. phoropters
- A61B3/032—Devices for presenting test symbols or characters, e.g. test chart projectors
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Abstract
A dynamic vision detection and early warning method is applied to a vision detection device, the vision detection device is connected to the Internet of things, the method is characterized in that the vision detection device is started, environmental conditions are detected, human-computer distance is detected, and vision marks are displayed on a display screen according to a conversion ratio; the user inputs a remote control value through a remote controller, and the vision detection device judges the accuracy according to the input remote control value; changing the size of the visual marker icon according to the accuracy of the remote control value; after the vision detection is finished, calculating and storing a detection value by using a vision detection standard distance formula, and entering a data statistics interface; counting recent vision detection values, drawing a waveform chart, judging the change of the vision value and historical data, and giving an early warning; compared with the prior art, the invention can break the restriction of distance detection, improve the application range of vision detection, analyze the vision change trend through long-term detection and tracking, realize early warning in time and achieve the early warning effect of preventing the myopia in advance.
Description
Technical Field
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
The existing household visual acuity test method only uses one option of a logarithmic visual acuity chart, and the visual acuity chart has two forms of paper and box. The main problems of using the visual chart for vision detection are 4 points:
1. the position of a person to be detected is fixed, whether the detection meter is 3 meters or 5 meters, the detection meter requires distance detection, and even if the actual distance is reduced through mirror reflection, the limit of the fixed detection position cannot be changed.
2. Due to distance detection, when the person to be detected cannot see the maximum character mark clearly, the detection method cannot effectively detect the actual vision; and when the minimum character mark can be seen clearly by the person to be detected, the detection method cannot effectively detect the actual vision.
3. The method can be used as a means for one-time vision detection and does not have the capability of data collection and analysis.
4. Because of the lack of data collection ability, the method cannot be effectively applied to myopia prevention and does not have the function of myopia early warning.
Disclosure of Invention
The invention provides a dynamic vision detection and early warning method, which can effectively solve the problems in the background technology.
The technical scheme adopted by the invention is as follows: a dynamic vision detection and early warning method is applied to a vision detection device, the vision detection device is accessed to the Internet of things, and the method specifically comprises the following steps:
the method comprises the following steps: starting the vision detection device, detecting environmental conditions and adjusting the display brightness of the display screen;
step two: detecting the human-computer distance, and displaying a vision mark on a display screen according to the conversion ratio;
step three: the user inputs a remote control value through a remote controller, and the vision detection device judges the accuracy according to the input remote control value;
step four: changing the size of the visual marker icon according to the accuracy of the remote control value;
step five: when the vision icon reaches the maximum value or the minimum value, judging that the upper layer icon is detected to be correct;
step six: after the vision detection is finished, calculating and storing a detection value by using a vision detection standard distance formula, and entering a data statistics interface;
step seven: and counting recent vision detection values, drawing a waveform chart, judging the change of the vision value and historical data, and giving an early warning.
As a further preferred scheme of the invention, the vision detection device is connected to the internet of things through a wireless module and is electrically connected with the light adjustment module; and adjusting the ambient light to the medium brightness during the vision detection.
As a further preferable scheme of the present invention, the same distance in step two may further perform vision detection by a method close to the detection device when the maximum character mark on the screen cannot be seen.
As a further preferable scheme of the present invention, the same distance in step two can further perform vision detection by a method away from the detection device when the minimum character mark on the screen can be seen clearly.
As a further preferable aspect of the present invention, in the second step, the vision inspection apparatus is equipped with an ultrasonic distance measuring sensor, an infrared sensor, or a laser sensor, the distance between the person and the vision inspection apparatus is detected by the sensor, and then the size of the vision mark is converted.
As a further preferred scheme of the present invention, in the sixth step, the vision detection value is uploaded to the cloud server through the internet of things for synchronous backup, and the cloud server sends the vision detection value to the mobile phone of the guardian or the designated receiver; a plurality of detection data storage account numbers are established through a cloud server, and data of the detection data storage account numbers are independently stored.
As a further preferable scheme of the invention, the vision is calculated by an equal proportion method in the sixth step, and the formula is as follows:
V1=V×d1/d
wherein, V is standard inspection distance vision, and d is standard inspection distance, and d1 is actual inspection distance, and V1 is actual inspection distance vision, records vision as the decimal.
As a further preferable aspect of the present invention, in the seventh step, the vision value is compared with the vision detection values before one week and one month respectively, whether the vision change is ascending or descending is compared, and an early warning is given.
As a further preferable scheme of the invention, the early warning in the seventh step comprises the pushing of early warning information, and the reminding of regular rest and the reminding of eye exercises are carried out simultaneously.
Compared with the prior art, the invention provides a dynamic eyesight detection and early warning method, which has the following beneficial effects:
1. the invention adopts the ultrasonic distance measuring sensor to carry out distance detection, can break the restriction of distance detection, and can really realize the purpose of free detection by matching with the character mark with variable size.
2. At the same distance, when the maximum character mark cannot be seen clearly, the vision detection can be further carried out by a method close to the detection equipment, and the lower limit of the vision detection is greatly improved.
3. At the same distance, when the minimum character mark can be seen clearly, the vision detection can be further carried out by a method of being far away from the detection equipment, and the upper limit of the vision detection is greatly improved.
4. The invention has the capability of data collection, can record the result of each vision detection without limit for analysis, can analyze the vision change trend through long-term detection and tracking, can early warn in time, and achieves the early warning effect of preventing the myopia in advance.
5. The invention can simultaneously track the data of the vision detection of a plurality of people and perform different myopia early warnings for each person.
Drawings
FIG. 1 is a schematic view of the detection process of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
The invention provides a dynamic eyesight detection and early warning method, which is applied to an eyesight detection device, wherein the eyesight detection device is accessed to the Internet of things, and the method specifically comprises the following steps:
the method comprises the following steps: starting the vision detection device, detecting environmental conditions and adjusting the display brightness of the display screen;
step two: detecting the human-computer distance, and displaying a vision mark on a display screen according to the conversion ratio;
step three: the user inputs a remote control value through a remote controller, and the vision detection device judges the accuracy according to the input remote control value;
step four: changing the size of the visual marker icon according to the accuracy of the remote control value;
step five: when the vision icon reaches the maximum value or the minimum value, judging that the upper layer icon is detected to be correct;
step six: after the vision detection is finished, calculating and storing a detection value by using a vision detection standard distance formula, and entering a data statistics interface;
step seven: and counting recent vision detection values, drawing a waveform chart, judging the change of the vision value and historical data, and giving an early warning.
As a further preferred scheme of the invention, the vision detection device is connected to the internet of things through a wireless module and is electrically connected with the light adjustment module; and adjusting the ambient light to the medium brightness during the vision detection.
As a further preferable scheme of the invention, the same distance in the step two can further carry out vision detection by a method close to the detection equipment when the maximum character mark on the screen can not be seen, thereby greatly improving the lower limit of the vision detection.
As a further preferable scheme of the invention, the same distance in the step two can further perform vision detection by a method far away from the detection equipment when the minimum character mark on the screen can be seen clearly, thereby greatly improving the upper limit of the vision detection.
As a further preferable aspect of the present invention, in the second step, the vision inspection apparatus is equipped with an ultrasonic distance measuring sensor, an infrared sensor, or a laser sensor, the distance between the person and the vision inspection apparatus is detected by the sensor, and then the size of the vision mark is converted.
As a further preferred scheme of the present invention, in the sixth step, the vision detection value is uploaded to the cloud server through the internet of things for synchronous backup, and the cloud server sends the vision detection value to the mobile phone of the guardian or the designated receiver; a plurality of detection data storage account numbers are established through a cloud server, and data of the detection data storage account numbers are independently stored.
As a further preferable scheme of the invention, the vision is calculated by an equal proportion method in the sixth step, and the formula is as follows:
V1=V×d1/d
wherein, V is standard inspection distance vision, and d is standard inspection distance, and d1 is actual inspection distance, and V1 is actual inspection distance vision, records vision as the decimal.
As a further preferable aspect of the present invention, in the seventh step, the vision value is compared with the vision detection values before one week and one month respectively, whether the vision change is ascending or descending is compared, and an early warning is given.
As a further preferable scheme of the invention, the early warning in the seventh step comprises the pushing of early warning information, and the reminding of regular rest and the reminding of eye exercises are carried out simultaneously.
As a specific embodiment of the present invention:
after the vision detection device is started, the display brightness of the display screen is adjusted by detecting the brightness condition of the environment so as to prevent overlarge brightness difference which is not suitable for vision detection; then detecting the distance between a person and the vision detection device through an ultrasonic sensor, and displaying a vision mark with a corresponding size on a display screen according to a conversion ratio; a tester can input the displayed visual marks through a remote controller, then the visual detection device judges the accuracy of the segments according to the input visual marks and enlarges or reduces the icons of the visual marks according to the accuracy; when the vision icon reaches the maximum value or the minimum value, judging whether the tested person sits again in the correct sitting posture range, and if so, judging that the upper layer icon is detected to be correct; after the detection is finished, the detection value is stored and enters a data statistics interface, the vision detection value of nearly 30 days is drawn into a waveform diagram on the statistics interface, the vision value of the current day is displayed, the vision value of the current day and the vision detection values of a week before and a month before are calculated, whether the vision rises or falls is compared, an early warning is given, and the vision detection information is synchronously sent to the wireless terminal.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (9)
1. A dynamic vision detection and early warning method is applied to a vision detection device, the vision detection device is accessed to the Internet of things, and the method specifically comprises the following steps:
the method comprises the following steps: starting the vision detection device, detecting environmental conditions and adjusting the display brightness of the display screen;
step two: detecting the human-computer distance, and displaying a vision mark on a display screen according to the conversion ratio;
step three: the user inputs a remote control value through a remote controller, and the vision detection device judges the accuracy according to the input remote control value;
step four: changing the size of the visual marker icon according to the accuracy of the remote control value;
step five: when the vision icon reaches the maximum value or the minimum value, judging that the upper layer icon is detected to be correct;
step six: after the vision detection is finished, calculating and storing a detection value by using a vision detection standard distance formula, and entering a data statistics interface;
step seven: and counting recent vision detection values, drawing a waveform chart, judging the change of the vision value and historical data, and giving an early warning.
2. The dynamic eyesight detection and early warning method according to claim 1, wherein the eyesight detection device is connected to the internet of things through a wireless module, and is electrically connected with the light adjustment module; and adjusting the ambient light to the medium brightness during the vision detection.
3. The dynamic vision detecting and warning method as claimed in claim 1, wherein the same distance in step two is used for further vision detection by approaching the detecting device when the maximum character mark on the screen cannot be seen.
4. The dynamic vision detecting and warning method as claimed in claim 1, wherein the same distance in step two is used for further vision detection by a method away from the detecting device when the smallest character mark on the screen can be seen clearly.
5. The dynamic eyesight detecting and early warning method as claimed in claim 1, wherein in the second step, the eyesight detecting device is equipped with an ultrasonic distance measuring sensor, an infrared sensor or a laser sensor, the distance between the person and the eyesight detecting device is detected by the sensor, and then the size of the eyesight mark is converted.
6. The dynamic eyesight detection and early warning method according to claim 1, wherein in the sixth step, the eyesight detection values are uploaded to a cloud server through an internet of things for synchronous backup, and the cloud server sends the eyesight detection values to a mobile phone of a guardian or an appointed receiver; a plurality of detection data storage account numbers are established through a cloud server, and data of the detection data storage account numbers are independently stored.
7. The dynamic eyesight detecting and early warning method according to claim 1, wherein the vision is calculated by an equal proportion method in the sixth step, and the formula is as follows:
V1=V×d1/d
wherein, V is standard inspection distance vision, and d is standard inspection distance, and d1 is actual inspection distance, and V1 is actual inspection distance vision, records vision as the decimal.
8. The dynamic vision testing and warning method as claimed in claim 1, wherein the vision value is compared with the vision testing values before one week and one month in step seven, and whether the vision change is ascending or descending is compared and a warning is given.
9. The dynamic vision detection and early warning method as claimed in claim 1, wherein the early warning in the seventh step includes pushing of early warning information, and meanwhile, timing rest reminding and eye exercises reminding are performed.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5877841A (en) * | 1995-12-05 | 1999-03-02 | Lg Electronics, Inc. | Application and method for self eye examination using a video appliance |
| KR20100121214A (en) * | 2009-05-08 | 2010-11-17 | 엘지전자 주식회사 | Eyesight test method for display device |
| CN105852795A (en) * | 2016-03-21 | 2016-08-17 | 广东卫明眼视光研究院 | Intelligent vision testing system |
| CN110226913A (en) * | 2019-05-24 | 2019-09-13 | 山东海博科技信息系统股份有限公司 | A kind of self-service examination machine eyesight detection intelligent processing method and device |
| CN111295129A (en) * | 2017-10-31 | 2020-06-16 | 伟伦公司 | Visual acuity examination |
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- 2021-04-08 CN CN202110376989.6A patent/CN113100703A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5877841A (en) * | 1995-12-05 | 1999-03-02 | Lg Electronics, Inc. | Application and method for self eye examination using a video appliance |
| KR20100121214A (en) * | 2009-05-08 | 2010-11-17 | 엘지전자 주식회사 | Eyesight test method for display device |
| CN105852795A (en) * | 2016-03-21 | 2016-08-17 | 广东卫明眼视光研究院 | Intelligent vision testing system |
| CN111295129A (en) * | 2017-10-31 | 2020-06-16 | 伟伦公司 | Visual acuity examination |
| CN110226913A (en) * | 2019-05-24 | 2019-09-13 | 山东海博科技信息系统股份有限公司 | A kind of self-service examination machine eyesight detection intelligent processing method and device |
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