CN112274103A - Vision detection terminal and detection method - Google Patents
Vision detection terminal and detection method Download PDFInfo
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- CN112274103A CN112274103A CN202010951425.6A CN202010951425A CN112274103A CN 112274103 A CN112274103 A CN 112274103A CN 202010951425 A CN202010951425 A CN 202010951425A CN 112274103 A CN112274103 A CN 112274103A
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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
- A61B3/02—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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- 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
- A61B3/113—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for determining or recording eye movement
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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
- A61B3/18—Arrangement of plural eye-testing or -examining apparatus
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Abstract
The invention solves the problems of low efficiency, large detection error of intelligent equipment, mainly aiming at adults and single function caused by the existing vision detection still depending on manual work, and provides a multifunctional and standardized vision detection method and a matched terminal, comprising the following steps: the device comprises a screen, a camera, an identity recognizer, a selection button, a processor, a memory, a voice recognition chip, a gesture recognition device, an eyeball tracker, a distance recognizer, a convolutional neural network eye recognition device and an eye closure state recognizer.
Description
Technical Field
The invention relates to the field of vision and visual function detection, in particular to a vision detection terminal and a detection method.
Background
The vision detection is a routine physical examination item such as vision health care, ophthalmology diagnosis, education, employment, military service and the like, and always depends on a manual detection method, and each measurer needs to complete measurement under the cooperation of doctors.
The detection of the vision detection table mostly adopts a mode of indicating one person for one person to test, so that the efficiency is low, and the time is long when a plurality of persons are checked in some schools; for some novel intelligent vision detection tables, for example, vision detection is performed by using a mobile phone APP, namely vision detection is performed by identifying gestures of people through a mobile phone camera, but medical vision detection performed by using a mobile phone is not standard, and a test error is large; for infant vision screening and low vision detection, no detection method except manual detection is provided.
Disclosure of Invention
The invention solves the problems of low efficiency, large detection error of intelligent equipment, single function and mainly aiming at adults caused by the fact that the existing eyesight detection still depends on manual work, and provides a multifunctional and standardized eyesight detection method and a matched terminal.
According to a first aspect of the present invention, there is provided a vision inspection terminal comprising: the camera is arranged on the screen, the camera is respectively connected with the gesture recognition device, the eyeball tracker, the distance recognition instrument, the convolutional neural network eyeball recognition device and the eye closed state recognition instrument, the selection button is a remote controller button or a virtual screen button, and the screen, the camera, the identity recognizer, the selection button, the processor, the voice recognition chip, the gesture recognition device, the eyeball tracker, the distance recognition instrument, the convolutional neural network eye recognition device and the eye closed state recognition instrument are all connected with the processor and the memory, the identity recognizer comprises at least one of the following: fingerprint identification ware, face appearance recognizer, ID card scanner, diagnose card scanner, face appearance recognizer with the camera link to each other, fingerprint identification ware, ID card scanner, diagnose card scanner and install outside the screen alone.
According to a second aspect of the present invention, there is provided a vision testing method comprising:
the method comprises the following steps of identity identification, receiving preset identity information, wherein the identity information is age, and the method further comprises at least one of the following information: face information, fingerprint information, password information, identity card information and diagnosis and treatment card information;
detecting item identification, namely identifying a detecting item which is input in advance and connected with identity information according to the received identity information, wherein the detecting item comprises at least one of the following items: visual acuity detection, contrast sensitivity detection, color vision detection, and stereoscopic vision detection;
the visual detection table is matched, visual detection items and identity information are received, the visual detection table is matched according to ages, and the specific matching mode is as follows: infants younger than 3 years old are matched with Teller vision cards; age between 3-6 years, matching the Lea Symbols LogMAR visual acuity chart; the age is more than or equal to 7 years, and the visual acuity chart is matched with a Tumbling E LogMAR visual acuity chart;
confirming the detection state, receiving a distance signal of the detected person from the screen, and adjusting the size of the vision test chart; receiving eye information of a subject; receiving an eye opening state signal of the eye to be detected of the detected person, and confirming the eye opening state signal as a detectable state;
detecting and recording, receiving and recording eyeball rotation information or voice information or gesture information or key information sent by an examinee, wherein the specific rules are that according to different types of information received by a detection table: receiving and recording eyeball rotation information for infants with the age of less than 3 years old; the method comprises the steps that a detected person with age more than or equal to 3 years old receives and records at least one of voice information, gesture information and key information.
Further, the identity information also comprises low vision information, and when the information containing low vision is received, a FrACT or ETDRS visual chart is matched.
Further, the stereoscopic vision inspection is provided with polarized light glasses or red and green glasses.
According to a third aspect of the present invention, there is provided a vision testing apparatus comprising:
the identity recognition module is used for receiving preset identity information, wherein the identity information is age, and the identity recognition module further comprises at least one of the following information: face information, fingerprint information, password information, identity card information and diagnosis and treatment card information;
the detection item identification module is used for identifying a detection item which is input in advance and connected with the identity information according to the received identity information, and the detection item comprises at least one of the following items: visual acuity detection, contrast sensitivity detection, color vision detection, and stereoscopic vision detection;
the visual detection table matching module is used for receiving visual detection items and identity information, and according to the age matching detection table, the specific matching mode is as follows: infants younger than 3 years old are matched with Teller vision cards; age between 3-6 years, matching the Lea Symbols LogMAR visual acuity chart; the age is more than or equal to 7 years, and the visual acuity chart is matched with a Tumbling E LogMAR visual acuity chart;
the detection state confirmation module is used for receiving a distance signal of the detected person from the screen and adjusting the size of the vision test chart; for receiving eye-specific information of a subject; the eye opening state signal is used for receiving the eye opening state signal of the detected eye of the detected person and confirming the eye opening state signal as a detectable state;
the detection and recording module is used for receiving and recording eyeball rotation information or voice information or gesture information or key information sent by the detected person, the information types received according to different detection tables are different, and the specific rule is as follows: receiving and recording eyeball rotation information for infants with the age of less than 3 years old; the method comprises the steps that a detected person with age more than or equal to 3 years old receives and records at least one of voice information, gesture information and key information.
According to a fourth aspect of the present invention, a processor is provided, which includes a camera, a face recognition chip, a voice recognition chip, a gesture recognition chip, an eyeball tracking chip, a distance recognition chip, a convolutional neural network eye recognition chip, and an eye closure state recognition chip, wherein the face recognition chip, the voice recognition chip, the gesture recognition chip, the eyeball tracking chip, the distance recognition chip, the convolutional neural network eye recognition chip, and the eye closure state recognition chip are installed on one side of the processor, and the camera is installed on the other side of the processor and connected to the face recognition chip, the gesture recognition chip, the eyeball tracking chip, the distance recognition chip, the convolutional neural network eye recognition chip, and the eye closure state recognition chip.
According to a fifth aspect of the present invention, a memory is provided, which includes a camera, a face recognition chip, a voice recognition chip, a gesture recognition chip, an eyeball tracking chip, a distance recognition chip, a convolutional neural network eye recognition chip, and an eye closure state recognition chip, wherein the face recognition chip, the voice recognition chip, the gesture recognition chip, the eyeball tracking chip, the distance recognition chip, the convolutional neural network eye recognition chip, and the eye closure state recognition chip are installed inside the memory, and the camera is installed outside the memory and connected to the face recognition chip, the gesture recognition chip, the eyeball tracking chip, the distance recognition chip, the convolutional neural network eye recognition chip, and the eye closure state recognition chip.
According to a sixth aspect of the present invention, there is provided a vision inspection terminal comprising:
the camera is arranged on the screen, the camera is respectively connected with the gesture recognition device, the eyeball tracker, the distance recognition instrument, the convolutional neural network eyeball recognition device and the eye closed state recognition instrument, the selection button is a remote controller button or a virtual screen button, and the screen, the camera, the identity recognizer, the selection button, the processor, the voice recognition chip, the gesture recognition device, the eyeball tracker, the distance recognition instrument, the convolutional neural network eye recognition device and the eye closed state recognition instrument are all connected with the processor and the memory, the identity recognizer comprises at least one of the following: the system comprises a fingerprint recognizer, a face recognizer, an identity card scanner and a diagnosis and treatment card scanner, wherein the face recognizer is connected with the camera, and the fingerprint recognizer, the identity card scanner and the diagnosis and treatment card scanner are independently arranged outside a screen;
software for receiving from an identity identifier, identity information preset for storage in a memory, said identity information being age, and further comprising at least one of: face information, fingerprint information, password information, identity card information and diagnosis and treatment card information; the processor determines a detection item according to the received identity information and a detection item which is input in the memory in advance and is associated with the identity information, wherein the detection item comprises at least one of the following items: visual acuity detection, contrast sensitivity detection, color vision detection, and stereoscopic vision detection; the processor matches the detection table according to the received eyesight detection items and the identity information and the age and displays the detection table on a screen, and the specific matching mode is as follows: infants younger than 3 years old are matched with Teller vision cards; age between 3-6 years, matching the Lea Symbols LogMAR visual acuity chart; the age is more than or equal to 7 years, and the visual acuity chart is matched with a Tumbling E LogMAR visual acuity chart; the visual acuity test chart is used for receiving a distance signal of a detected person from the screen, which is recorded by the camera and the distance recognizer together, adjusting the size of the visual acuity test chart and displaying the visual acuity test chart on the screen; the eye identification information of the examinee identified by the convolutional neural network eye identification device is received and recorded in the memory; the eye opening state signal is used for receiving the eye opening state signal of the detected eye to be detected, which is identified by the eye closing state identification instrument, confirming the eye opening state signal as a detectable state, starting detection and recording the result in the memory; the device is used for receiving and recording eyeball rotation information sent by a detected person tracked by an eyeball tracker, voice information identified by a voice identification chip, gesture information identified by a gesture identification device or key information actively pressed by the detected person through a selection button, and according to different types of received information of a detection table, the specific rule is as follows: for infants with the age less than 3 years old, receiving and recording eyeball rotation information tracked by an eyeball tracker; the method comprises the steps that a subject aged more than or equal to 3 years receives and records at least one of voice information recognized by a voice recognition chip, gesture information recognized by a gesture recognition device and key information recorded by the subject actively through a selection button.
Further, the selection button is a physical button or a virtual button.
The invention has the beneficial effects that:
(1) the vision detection is intelligent and standardized, the machine detection is realized, and the detection efficiency is greatly improved;
(2) covering the visual detection of infants, children, adults in various age groups and low-vision patients;
(3) the multifunctional vision tester can perform related tests of visual functions besides vision detection.
Detailed Description
In order to make the technical solutions of the present invention better understood by those skilled in the art, the technical solutions in the embodiments of the present invention will be clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, shall fall within the scope of the present invention.
Example 1:
a vision inspection terminal comprising: the screen, the camera, the identity recognizer, the selection button, a processor, a memory, the speech recognition chip, gesture recognition device, eyeball tracker, the distance recognizer, the eye recognition device of convolutional neural network, the eye closure state recognizer, the camera is installed on the screen, the camera links to each other with gesture recognition device, eyeball tracker, the distance recognizer, the eyeball recognition device of convolutional neural network, the eye closure state recognizer respectively, the selection button is a remote controller button or a virtual screen button, the screen, the camera, the identity recognizer, the selection button, the processor, the speech recognition chip, the gesture recognition device, the eyeball tracker, the distance recognizer, the eye recognition device of convolutional neural network, the eye closure state recognizer all links to each other with processor, memory, the identity recognizer includes one of the following at least: fingerprint identification ware, face appearance recognizer, ID card scanner, diagnose card scanner, face appearance recognizer with the camera link to each other, fingerprint identification ware, ID card scanner, diagnose card scanner and install outside the screen alone.
Example 2:
a method of vision testing, comprising:
the method comprises the following steps of identity identification, receiving preset identity information, wherein the identity information is age, and the method further comprises at least one of the following information: face information, fingerprint information, password information, identity card information and diagnosis and treatment card information;
detecting item identification, namely identifying a detecting item which is input in advance and connected with identity information according to the received identity information, wherein the detecting item comprises at least one of the following items: visual acuity detection, contrast sensitivity detection, color vision detection, and stereoscopic vision detection;
the visual detection table is matched, visual detection items and identity information are received, the visual detection table is matched according to ages, and the specific matching mode is as follows: infants younger than 3 years old are matched with Teller vision cards; age between 3-6 years, matching the Lea Symbols LogMAR visual acuity chart; the age is more than or equal to 7 years, and the visual acuity chart is matched with a Tumbling E LogMAR visual acuity chart;
confirming the detection state, receiving a distance signal of the detected person from the screen, and adjusting the size of the vision test chart; receiving eye information of a subject; receiving an eye opening state signal of the eye to be detected of the detected person, and confirming the eye opening state signal as a detectable state;
detecting and recording, receiving and recording eyeball rotation information or voice information or gesture information or key information sent by an examinee, wherein the specific rules are that according to different types of information received by a detection table: receiving and recording eyeball rotation information for infants with the age of less than 3 years old; the method comprises the steps that a detected person with age more than or equal to 3 years old receives and records at least one of voice information, gesture information and key information.
Wherein the identity information further comprises low vision information, and when the information containing low vision is received, a FrACT or ETDRS visual acuity chart is matched.
The stereoscopic vision examination is equipped with polarized light glasses or red and green glasses.
Example 3:
a vision testing device comprising:
the identity recognition module is used for receiving preset identity information, wherein the identity information is age, and the identity recognition module further comprises at least one of the following information: face information, fingerprint information, password information, identity card information and diagnosis and treatment card information;
the detection item identification module is used for identifying a detection item which is input in advance and connected with the identity information according to the received identity information, and the detection item comprises at least one of the following items: visual acuity detection, contrast sensitivity detection, color vision detection, and stereoscopic vision detection;
the visual detection table matching module is used for receiving visual detection items and identity information, and according to the age matching detection table, the specific matching mode is as follows: infants younger than 3 years old are matched with Teller vision cards; age between 3-6 years, matching the Lea Symbols LogMAR visual acuity chart; the age is more than or equal to 7 years, and the visual acuity chart is matched with a Tumbling E LogMAR visual acuity chart;
the detection state confirmation module is used for receiving a distance signal of the detected person from the screen and adjusting the size of the vision test chart; for receiving eye-specific information of a subject; the eye opening state signal is used for receiving the eye opening state signal of the detected eye of the detected person and confirming the eye opening state signal as a detectable state;
the detection and recording module is used for receiving and recording eyeball rotation information or voice information or gesture information or key information sent by the detected person, the information types received according to different detection tables are different, and the specific rule is as follows: receiving and recording eyeball rotation information for infants with the age of less than 3 years old; the method comprises the steps that a detected person with age more than or equal to 3 years old receives and records at least one of voice information, gesture information and key information.
Example 4:
the utility model provides a processor, includes camera, face appearance identification chip, speech recognition chip, gesture recognition chip, eyeball tracking chip, distance identification chip, convolution neural network eye do not discern chip, eyes closed state identification chip install one side of processor, the camera install the other one side of processor and with face appearance identification chip, gesture recognition chip, eyeball tracking chip, distance identification chip, convolution neural network eye do not discern chip, eyes closed state identification chip link to each other.
Example 5:
the utility model provides a memory, includes camera, face appearance discernment chip, speech recognition chip, gesture recognition chip, eyeball tracking chip, distance discernment chip, convolution neural network eye do not discern chip, eyes closed state discernment chip, face appearance discernment chip, speech recognition chip, gesture discernment chip, eyeball tracking chip, distance discernment chip, convolution neural network eye do not discern chip, eyes closed state discernment chip install the memory inside, the camera install the outside of memory and with face appearance discernment chip, gesture discernment chip, eyeball tracking chip, distance discernment chip, convolution neural network eye do not discern chip, eyes closed state discernment chip link to each other.
Example 6:
a vision inspection terminal comprising:
the camera is arranged on the screen, the camera is respectively connected with the gesture recognition device, the eyeball tracker, the distance recognition instrument, the convolutional neural network eyeball recognition device and the eye closed state recognition instrument, the selection button is a remote controller button or a virtual screen button, and the screen, the camera, the identity recognizer, the selection button, the processor, the voice recognition chip, the gesture recognition device, the eyeball tracker, the distance recognition instrument, the convolutional neural network eye recognition device and the eye closed state recognition instrument are all connected with the processor and the memory, the identity recognizer comprises at least one of the following: the system comprises a fingerprint recognizer, a face recognizer, an identity card scanner and a diagnosis and treatment card scanner, wherein the face recognizer is connected with the camera, and the fingerprint recognizer, the identity card scanner and the diagnosis and treatment card scanner are independently arranged outside a screen;
software for receiving from an identity identifier, identity information preset for storage in a memory, said identity information being age, and further comprising at least one of: face information, fingerprint information, password information, identity card information and diagnosis and treatment card information; the processor determines a detection item according to the received identity information and a detection item which is input in the memory in advance and is associated with the identity information, wherein the detection item comprises at least one of the following items: visual acuity detection, contrast sensitivity detection, color vision detection, and stereoscopic vision detection; the processor matches the detection table according to the received eyesight detection items and the identity information and the age and displays the detection table on a screen, and the specific matching mode is as follows: infants younger than 3 years old are matched with Teller vision cards; age between 3-6 years, matching the Lea Symbols LogMAR visual acuity chart; the age is more than or equal to 7 years, and the visual acuity chart is matched with a Tumbling E LogMAR visual acuity chart; the visual acuity test chart is used for receiving a distance signal of a detected person from the screen, which is recorded by the camera and the distance recognizer together, adjusting the size of the visual acuity test chart and displaying the visual acuity test chart on the screen; the eye identification information of the examinee identified by the convolutional neural network eye identification device is received and recorded in the memory; the eye opening state signal is used for receiving the eye opening state signal of the detected eye to be detected, which is identified by the eye closing state identification instrument, confirming the eye opening state signal as a detectable state, starting detection and recording the result in the memory; the device is used for receiving and recording eyeball rotation information sent by a detected person tracked by an eyeball tracker, voice information identified by a voice identification chip, gesture information identified by a gesture identification device or key information actively pressed by the detected person through a selection button, and according to different types of received information of a detection table, the specific rule is as follows: for infants with the age less than 3 years old, receiving and recording eyeball rotation information tracked by an eyeball tracker; the method comprises the steps that a subject aged more than or equal to 3 years receives and records at least one of voice information recognized by a voice recognition chip, gesture information recognized by a gesture recognition device and key information recorded by the subject actively through a selection button.
Wherein, the selection button is a real button or a virtual button.
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 vision inspection terminal comprising: the camera is arranged on the screen, the camera is respectively connected with the gesture recognition device, the eyeball tracker, the distance recognition instrument, the convolutional neural network eyeball recognition device and the eye closed state recognition instrument, the selection button is a remote controller button or a virtual screen button, and the screen, the camera, the identity recognizer, the selection button, the processor, the voice recognition chip, the gesture recognition device, the eyeball tracker, the distance recognition instrument, the convolutional neural network eye recognition device and the eye closed state recognition instrument are all connected with the processor and the memory, the identity recognizer comprises at least one of the following: fingerprint identification ware, face appearance recognizer, ID card scanner, diagnose card scanner, face appearance recognizer with the camera link to each other, fingerprint identification ware, ID card scanner, diagnose card scanner and install outside the screen alone.
2. A method of vision testing, comprising:
the method comprises the following steps of identity identification, receiving preset identity information, wherein the identity information is age, and the method further comprises at least one of the following information: face information, fingerprint information, password information, identity card information and diagnosis and treatment card information;
detecting item identification, namely identifying a detecting item which is input in advance and connected with identity information according to the received identity information, wherein the detecting item comprises at least one of the following items: visual acuity detection, contrast sensitivity detection, color vision detection, and stereoscopic vision detection;
the visual detection table is matched, visual detection items and identity information are received, the visual detection table is matched according to ages, and the specific matching mode is as follows: infants younger than 3 years old are matched with Teller vision cards; age between 3-6 years, matching the Lea Symbols LogMAR visual acuity chart; the age is more than or equal to 7 years, and the visual acuity chart is matched with a Tumbling E LogMAR visual acuity chart;
confirming the detection state, receiving a distance signal of the detected person from the screen, and adjusting the size of the vision test chart; receiving eye information of a subject; receiving an eye opening state signal of the eye to be detected of the detected person, and confirming the eye opening state signal as a detectable state;
detecting and recording, receiving and recording eyeball rotation information or voice information or gesture information or key information sent by an examinee, wherein the specific rules are that according to different types of information received by a detection table: receiving and recording eyeball rotation information for infants with the age of less than 3 years old; the method comprises the steps that a detected person with age more than or equal to 3 years old receives and records at least one of voice information, gesture information and key information.
3. A vision testing device comprising:
the identity recognition module is used for receiving preset identity information, wherein the identity information is age, and the identity recognition module further comprises at least one of the following information: face information, fingerprint information, password information, identity card information and diagnosis and treatment card information;
the detection item identification module is used for identifying a detection item which is input in advance and connected with the identity information according to the received identity information, and the detection item comprises at least one of the following items: visual acuity detection, contrast sensitivity detection, color vision detection, and stereoscopic vision detection;
the visual detection table matching module is used for receiving visual detection items and identity information, and according to the age matching detection table, the specific matching mode is as follows: infants younger than 3 years old are matched with Teller vision cards; age between 3-6 years, matching the Lea Symbols LogMAR visual acuity chart; the age is more than or equal to 7 years, and the visual acuity chart is matched with a Tumbling E LogMAR visual acuity chart;
the detection state confirmation module is used for receiving a distance signal of the detected person from the screen and adjusting the size of the vision test chart; for receiving eye-specific information of a subject; the eye opening state signal is used for receiving the eye opening state signal of the detected eye of the detected person and confirming the eye opening state signal as a detectable state;
the detection and recording module is used for receiving and recording eyeball rotation information or voice information or gesture information or key information sent by the detected person, the information types received according to different detection tables are different, and the specific rule is as follows: receiving and recording eyeball rotation information for infants with the age of less than 3 years old; the method comprises the steps that a detected person with age more than or equal to 3 years old receives and records at least one of voice information, gesture information and key information.
4. The utility model provides a processor, includes camera, face appearance identification chip, speech recognition chip, gesture recognition chip, eyeball tracking chip, distance identification chip, convolution neural network eye do not discern chip, eyes closed state identification chip install one side of processor, the camera install the other one side of processor and with face appearance identification chip, gesture recognition chip, eyeball tracking chip, distance identification chip, convolution neural network eye do not discern chip, eyes closed state identification chip link to each other.
5. The utility model provides a memory, includes camera, face appearance discernment chip, speech recognition chip, gesture recognition chip, eyeball tracking chip, distance discernment chip, convolution neural network eye do not discern chip, eyes closed state discernment chip, face appearance discernment chip, speech recognition chip, gesture discernment chip, eyeball tracking chip, distance discernment chip, convolution neural network eye do not discern chip, eyes closed state discernment chip install the memory inside, the camera install the outside of memory and with face appearance discernment chip, gesture discernment chip, eyeball tracking chip, distance discernment chip, convolution neural network eye do not discern chip, eyes closed state discernment chip link to each other.
6. A vision inspection terminal comprising:
the camera is arranged on the screen, the camera is respectively connected with the gesture recognition device, the eyeball tracker, the distance recognition instrument, the convolutional neural network eyeball recognition device and the eye closed state recognition instrument, the selection button is a remote controller button or a virtual screen button, and the screen, the camera, the identity recognizer, the selection button, the processor, the voice recognition chip, the gesture recognition device, the eyeball tracker, the distance recognition instrument, the convolutional neural network eye recognition device and the eye closed state recognition instrument are all connected with the processor and the memory, the identity recognizer comprises at least one of the following: the system comprises a fingerprint recognizer, a face recognizer, an identity card scanner and a diagnosis and treatment card scanner, wherein the face recognizer is connected with the camera, and the fingerprint recognizer, the identity card scanner and the diagnosis and treatment card scanner are independently arranged outside a screen;
software for receiving from an identity identifier, identity information preset for storage in a memory, said identity information being age, and further comprising at least one of: face information, fingerprint information, password information, identity card information and diagnosis and treatment card information; the processor determines a detection item according to the received identity information and a detection item which is input in the memory in advance and is associated with the identity information, wherein the detection item comprises at least one of the following items: visual acuity detection, contrast sensitivity detection, color vision detection, and stereoscopic vision detection; the processor matches the detection table according to the received eyesight detection items and the identity information and the age and displays the detection table on a screen, and the specific matching mode is as follows: infants younger than 3 years old are matched with Teller vision cards; age between 3-6 years, matching the Lea Symbols LogMAR visual acuity chart; the age is more than or equal to 7 years, and the visual acuity chart is matched with a Tumbling E LogMAR visual acuity chart; the visual acuity test chart is used for receiving a distance signal of a detected person from the screen, which is recorded by the camera and the distance recognizer together, adjusting the size of the visual acuity test chart and displaying the visual acuity test chart on the screen; the eye identification information of the examinee identified by the convolutional neural network eye identification device is received and recorded in the memory; the eye opening state signal is used for receiving the eye opening state signal of the detected eye to be detected, which is identified by the eye closing state identification instrument, confirming the eye opening state signal as a detectable state, starting detection and recording the result in the memory; the device is used for receiving and recording eyeball rotation information sent by a detected person tracked by an eyeball tracker, voice information identified by a voice identification chip, gesture information identified by a gesture identification device or key information actively pressed by the detected person through a selection button, and according to different types of received information of a detection table, the specific rule is as follows: for infants with the age less than 3 years old, receiving and recording eyeball rotation information tracked by an eyeball tracker; the method comprises the steps that a subject aged more than or equal to 3 years receives and records at least one of voice information recognized by a voice recognition chip, gesture information recognized by a gesture recognition device and key information recorded by the subject actively through a selection button.
7. A vision testing method according to claim 2, wherein said identity information further includes low vision information, and when information containing low vision is received, a froct or ETDRS chart is matched.
8. A visual acuity detection terminal according to claim 1 or 6, characterised in that the selection buttons are physical buttons or virtual buttons.
9. A vision testing method according to claim 2, wherein said stereoscopic vision test is provided with polarized light glasses or red-green glasses.
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Citations (5)
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| CN106037627A (en) * | 2016-05-20 | 2016-10-26 | 上海青研科技有限公司 | Full-automatic visual acuity examination method and device for infants |
| CN109480759A (en) * | 2019-01-07 | 2019-03-19 | 周益伟 | Self-service eye test equipment |
| CN109497925A (en) * | 2018-12-29 | 2019-03-22 | 上海理工大学 | Eye visual function evaluating apparatus and eye Evaluation of visual function |
| CN110547756A (en) * | 2019-09-17 | 2019-12-10 | 广州智伴人工智能科技有限公司 | Vision test method, device and system |
| CN110916609A (en) * | 2019-12-19 | 2020-03-27 | 北京九辰智能医疗设备有限公司 | Vision detection device |
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| CN106037627A (en) * | 2016-05-20 | 2016-10-26 | 上海青研科技有限公司 | Full-automatic visual acuity examination method and device for infants |
| CN109497925A (en) * | 2018-12-29 | 2019-03-22 | 上海理工大学 | Eye visual function evaluating apparatus and eye Evaluation of visual function |
| CN109480759A (en) * | 2019-01-07 | 2019-03-19 | 周益伟 | Self-service eye test equipment |
| CN110547756A (en) * | 2019-09-17 | 2019-12-10 | 广州智伴人工智能科技有限公司 | Vision test method, device and system |
| CN110916609A (en) * | 2019-12-19 | 2020-03-27 | 北京九辰智能医疗设备有限公司 | Vision detection device |
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