CN108523840B - Eye state detection system for tablet personal computer - Google Patents
Eye state detection system for tablet personal computer Download PDFInfo
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- CN108523840B CN108523840B CN201810170635.4A CN201810170635A CN108523840B CN 108523840 B CN108523840 B CN 108523840B CN 201810170635 A CN201810170635 A CN 201810170635A CN 108523840 B CN108523840 B CN 108523840B
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- 238000001514 detection method Methods 0.000 title claims abstract description 25
- 208000001491 myopia Diseases 0.000 claims abstract description 44
- 230000004379 myopia Effects 0.000 claims abstract description 44
- 239000011521 glass Substances 0.000 claims abstract description 23
- 238000012545 processing Methods 0.000 claims abstract description 17
- 238000005259 measurement Methods 0.000 claims abstract description 6
- 210000001747 pupil Anatomy 0.000 claims description 13
- 238000004458 analytical method Methods 0.000 claims description 11
- 238000012163 sequencing technique Methods 0.000 claims description 2
- 210000001508 eye Anatomy 0.000 description 24
- 238000000034 method Methods 0.000 description 6
- 210000005252 bulbus oculi Anatomy 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 210000001525 retina Anatomy 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011897 real-time detection Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
- A61B3/14—Arrangements specially adapted for eye photography
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
- A61B3/11—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for measuring interpupillary distance or diameter of pupils
- A61B3/112—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for measuring interpupillary distance or diameter of pupils for measuring diameter of pupils
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- Medical Informatics (AREA)
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- Ophthalmology & Optometry (AREA)
- Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Physics & Mathematics (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
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Abstract
The invention relates to an eye state detection system for a tablet computer, which comprises: the parameter storage equipment is used for pre-storing the corrected myopia degree when the user wears the glasses to serve as a first myopia degree for output, and is also used for pre-storing the self myopia degree when the user does not wear the glasses to serve as a second myopia degree for output; the image capturing device is used for carrying out on-site image capturing on a user of the tablet computer so as to obtain and output an on-site user image; and the color level adjusting device is connected with the image capturing device and used for receiving the on-site user image, executing color level adjusting processing on the on-site user image to obtain a color level adjusting image and outputting the color level adjusting image. The invention can improve the measurement precision of the myopia degree of the user and the current state of the user.
Description
Technical Field
The invention relates to the field of computers, in particular to an eye state detection system for a tablet personal computer.
Background
The pupil, like the aperture in the camera, can be narrowed or enlarged according to the intensity of the light. It is known that when the light is strong, the aperture is opened a little bit, when the light is dark, the aperture is opened a little bit, and enough light is always allowed to enter the camera through the aperture to expose the negative, but the negative is not damaged by the over-strong light. The pupil also has such a function, but its adaptation to the intensity of light is automatically performed. Through the adjustment of the pupil, a proper amount of light rays are always kept to enter the eye, so that the image of an object falling on the retina is clear, and the retina is not burnt by excessive light rays. The pupil, although not a refractive element in the optical system of the eyeball, plays an important role in the optical system of the eyeball. The pupil not only can respond to the light and shade to adjust the light entering the eye, but also influences the focal depth and spherical aberration of the eyeball optical system.
The tablet computer is with its convenient to carry and display screen great relatively and to obtaining people's favor, however, when people used the tablet computer time for too long, myopia deepened easily, if at this moment carry out real-time detection, often can be because can't distinguish whether the user wears glasses and lead to near-sightedness testing result error.
Disclosure of Invention
In order to solve the above problems, the present invention provides an eye state detection system for a tablet computer, which can accurately distinguish whether a user wears glasses under a customized image processing mechanism to differentially analyze a myopia degree, thereby improving measurement accuracy of the myopia degree and a current state of the user, and preventing the user from watching the tablet computer excessively.
According to an aspect of the present invention, there is provided an eye state detection system for a tablet computer, the system comprising:
the parameter storage equipment is used for pre-storing the corrected myopia degree when the user wears the glasses to serve as a first myopia degree for output, and is also used for pre-storing the self myopia degree when the user does not wear the glasses to serve as a second myopia degree for output;
the image capturing device is used for carrying out on-site image capturing on a user of the tablet computer so as to obtain and output an on-site user image;
the color level adjusting device is connected with the image capturing device and used for receiving the on-site user image, executing color level adjusting processing on the on-site user image to obtain a color level adjusting image and outputting the color level adjusting image;
the component obtaining equipment is connected with the color gradation adjusting equipment and used for receiving the color gradation adjusting image, obtaining the red-green component value, the black-white component value and the yellow-blue component value of each pixel point from the color gradation adjusting image, and performing open-cubic operation on numerical values obtained by multiplying the red-green component value, the black-white component value and the yellow-blue component value of each pixel point to obtain a component representing numerical value of each pixel point;
the vector measurement equipment is connected with the component acquisition equipment, and is used for receiving the component representation values of the pixels, classifying the pixels according to the attribution row of each pixel to obtain a plurality of pixels in each row, and forming the component representation values of the pixels in each row into a one-dimensional vector;
and the vector processing equipment is connected with the redundancy analysis equipment and used for receiving each one-dimensional vector of each row, analyzing the change degree of the one-dimensional vector of each row to obtain the corresponding change degree of the row and outputting each change degree of each row.
The invention has at least the following two important points:
(1) the method detects the condition of wearing glasses of a user to differentially analyze the myopia degree, thereby improving the measurement precision of the myopia degree and the current state of the user;
(2) through the analysis of the variation degree of the pixel values of the pixel points of each line, a plurality of lines with severe variation are used as the lines where the object is located for subsequent object detection, so that the image range of the object detection is reduced.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic diagram illustrating an operation of an eye state detection system for a tablet computer according to an embodiment of the present invention.
Detailed Description
Embodiments of an eye state detection system for a tablet computer according to the present invention will be described in detail below with reference to the accompanying drawings.
In order to overcome the defects, the invention builds the eye state detection system for the tablet personal computer, and can distinguish two situations whether a user wears glasses or not.
Fig. 1 is a schematic diagram illustrating an operation of an eye state detection system for a tablet computer according to an embodiment of the present invention. That is, the system includes an electronic control module comprised of a plurality of components for enabling eye state detection.
The eye state detection system for the tablet computer shown in the embodiment of the invention comprises:
and the parameter storage equipment is used for pre-storing the corrected myopia degree when the user wears the glasses to be output as a first myopia degree, and is also used for pre-storing the self myopia degree when the user does not wear the glasses to be output as a second myopia degree.
Next, a specific configuration of the eye state detection system for a tablet pc according to the present invention will be further described.
In the eye state detection system for a tablet computer, the method further comprises:
the image capturing device is used for carrying out field image capturing on a user of the tablet computer so as to obtain and output a field user image.
In the eye state detection system for a tablet computer, the method further comprises:
and the color level adjusting device is connected with the image capturing device and used for receiving the on-site user image, executing color level adjusting processing on the on-site user image to obtain a color level adjusting image and outputting the color level adjusting image.
In the eye state detection system for a tablet computer, the method further comprises:
and the component obtaining equipment is connected with the color gradation adjusting equipment and used for receiving the color gradation adjusting image, obtaining the red-green component value, the black-white component value and the yellow-blue component value of each pixel point from the color gradation adjusting image, and performing open-cubic operation on numerical values obtained by multiplying the red-green component value, the black-white component value and the yellow-blue component value of each pixel point to obtain the component representing numerical value of each pixel point.
In the eye state detection system for a tablet computer, the method further comprises:
the vector measurement equipment is connected with the component acquisition equipment, and is used for receiving the component representation values of the pixels, classifying the pixels according to the attribution row of each pixel to obtain a plurality of pixels in each row, and forming the component representation values of the pixels in each row into a one-dimensional vector;
the vector processing equipment is connected with the redundancy analysis equipment and used for receiving each one-dimensional vector of each row, analyzing the variation degree of the one-dimensional vector of each row to obtain the corresponding variation degree of the row and outputting each variation degree of each row;
the face analysis device is connected with the vector processing device and used for receiving each change degree of each line, sequencing each change degree of each line from small to large, taking a plurality of lines with preset number in front of the sequence as object lines, carrying out image morphology processing on an image area formed by the object lines to obtain object sub-images, measuring the pupil radius in the object sub-images to output the current pupil radius, identifying whether glasses exist in the object sub-images, sending out a glasses-free signal when glasses do not exist, and sending out a glasses identification signal when glasses exist;
the parameter selection equipment is arranged on the tablet personal computer, is respectively connected with the parameter storage equipment and the face analysis equipment, and is used for selecting a second myopia degree from the parameter storage equipment to be output as a target myopia degree when the glasses-free signal is received, and is also used for selecting a first myopia degree from the parameter storage equipment to be output as a target myopia degree when the glasses identification signal is received;
the parameter comparison equipment is arranged on the tablet personal computer, is respectively connected with the parameter selection equipment and the face analysis equipment, and is used for receiving the current pupil radius and the target myopia degree, determining the corresponding field myopia degree based on the current pupil radius, matching the field myopia degree with the target myopia degree, and sending an eye use excessive signal when the field myopia degree is greater than the degree of the target myopia degree and is greater than or equal to a preset degree limit amount, or sending an eye use normal signal;
and the state switching equipment is arranged on the tablet personal computer, is connected with the parameter comparison equipment and is used for keeping the tablet personal computer in the current state when receiving the eye use normal signal.
In the tablet computer eye state detection system:
the state switching equipment is further used for switching the tablet computer to a dormant state when the eye overuse signal is received.
In the eye state detection system for a tablet computer, the method further comprises:
the manual switch is arranged on the tablet personal computer and used for manually switching the current state of the tablet personal computer, and the current state of the tablet personal computer comprises a dormant state, a working state and a user-defined state.
In addition, the face analysis device may be implemented using a DSP processing chip. A DSP processing chip, also called a digital signal processor, is a microprocessor particularly suitable for performing digital signal processing operations, and is mainly applied to rapidly implement various digital signal processing algorithms in real time.
According to the requirements of digital signal processing, a DSP chip generally has the following main characteristics: (1) one multiplication and one addition can be completed in one instruction cycle; (2) the program and the data space are separated, and the instruction and the data can be accessed simultaneously; (3) the chip is provided with a fast RAM which can be accessed in two blocks at the same time through independent data buses; (4) hardware support with low or no overhead loops and jumps; (5) fast interrupt handling and hardware I/O support; (6) having a plurality of hardware address generators operating in a single cycle; (7) multiple operations may be performed in parallel; (8) and pipeline operation is supported, so that the operations of fetching, decoding, executing and the like can be executed in an overlapping way.
By adopting the eye state detection system for the tablet personal computer, the technical problem that whether a user wears glasses cannot be distinguished in the myopia degree detection in the prior art is solved.
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (2)
1. An eye state detection system for a tablet computer, comprising:
the parameter storage equipment is used for pre-storing the corrected myopia degree when the user wears the glasses to serve as a first myopia degree for output, and is also used for pre-storing the self myopia degree when the user does not wear the glasses to serve as a second myopia degree for output;
the image capturing device is used for carrying out on-site image capturing on a user of the tablet computer so as to obtain and output an on-site user image;
the color level adjusting device is connected with the image capturing device and used for receiving the on-site user image, executing color level adjusting processing on the on-site user image to obtain a color level adjusting image and outputting the color level adjusting image;
the component obtaining equipment is connected with the color gradation adjusting equipment and used for receiving the color gradation adjusting image, obtaining the red-green component value, the black-white component value and the yellow-blue component value of each pixel point from the color gradation adjusting image, and performing open-cubic operation on numerical values obtained by multiplying the red-green component value, the black-white component value and the yellow-blue component value of each pixel point to obtain a component representing numerical value of each pixel point;
the vector measurement equipment is connected with the component acquisition equipment, and is used for receiving the component representation values of the pixels, classifying the pixels according to the attribution row of each pixel to obtain a plurality of pixels in each row, and forming the component representation values of the pixels in each row into a one-dimensional vector;
the vector processing equipment is connected with the redundancy analysis equipment and used for receiving each one-dimensional vector of each row, analyzing the variation degree of the one-dimensional vector of each row to obtain the corresponding variation degree of the row and outputting each variation degree of each row;
the face analysis device is connected with the vector processing device and used for receiving each change degree of each line, sequencing each change degree of each line from small to large, taking a plurality of lines with preset number in front of the sequence as object lines, carrying out image morphology processing on an image area formed by the object lines to obtain object sub-images, measuring the pupil radius in the object sub-images to output the current pupil radius, identifying whether glasses exist in the object sub-images, sending out a glasses-free signal when glasses do not exist, and sending out a glasses identification signal when glasses exist;
the parameter selection equipment is arranged on the tablet personal computer, is respectively connected with the parameter storage equipment and the face analysis equipment, and is used for selecting a second myopia degree from the parameter storage equipment to be output as a target myopia degree when the glasses-free signal is received, and is also used for selecting a first myopia degree from the parameter storage equipment to be output as a target myopia degree when the glasses identification signal is received;
the parameter comparison equipment is arranged on the tablet personal computer, is respectively connected with the parameter selection equipment and the face analysis equipment, and is used for receiving the current pupil radius and the target myopia degree, determining the corresponding field myopia degree based on the current pupil radius, matching the field myopia degree with the target myopia degree, and sending an eye use excessive signal when the field myopia degree is greater than the degree of the target myopia degree and is greater than or equal to a preset degree limit amount, or sending an eye use normal signal;
and the state switching equipment is arranged on the tablet personal computer, is connected with the parameter comparison equipment and is used for keeping the tablet personal computer in the current state when receiving the eye use normal signal.
2. The eye state detection system for a tablet computer of claim 1, wherein:
the state switching equipment is further used for switching the tablet computer to a dormant state when the eye overuse signal is received.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810170635.4A CN108523840B (en) | 2018-03-01 | 2018-03-01 | Eye state detection system for tablet personal computer |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810170635.4A CN108523840B (en) | 2018-03-01 | 2018-03-01 | Eye state detection system for tablet personal computer |
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| CN108523840A CN108523840A (en) | 2018-09-14 |
| CN108523840B true CN108523840B (en) | 2020-02-11 |
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| CN107273071A (en) * | 2016-04-06 | 2017-10-20 | 富泰华工业（深圳）有限公司 | Electronic installation, screen adjustment system and method |
| CN105678976A (en) * | 2016-04-06 | 2016-06-15 | 董伟 | Auxiliary health prompting device for computer user |
| CN106598519A (en) * | 2016-12-12 | 2017-04-26 | 合肥联宝信息技术有限公司 | Screen display method and apparatus, and computer |
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Effective date of registration: 20200115 Address after: 234000 Room 303, building 8, modern Jiayuan, Xichang South Road, Yongqiao District, Suzhou City, Anhui Province Applicant after: Suzhou Teng Teng Intellectual Property Advisory Co.,Ltd. Address before: 054800 1 of the public road, Qinghe County, Xingtai, Hebei. Applicant before: Li Hua |
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Effective date of registration: 20231204 Address after: 517000 No. 13 Hepu Avenue, Yuancheng District, Heyuan City, Guangdong Province Patentee after: HEYUAN HAOQIN ELECTRONICS Co.,Ltd. Address before: 234000 Room 303, building 8, modern Jiayuan, Xichang South Road, Yongqiao District, Suzhou City, Anhui Province Patentee before: Suzhou Teng Teng Intellectual Property Advisory Co.,Ltd. |