JP2020156862A - Ophthalmologic apparatus and maintenance method of ophthalmologic apparatus - Google Patents

Abstract

To provide an ophthalmologic apparatus in which maintenance of an optical system required for photographing a subject eye can be appropriately performed.SOLUTION: An ophthalmologic apparatus 100 for photographing a subject eye E through an object lens 11c includes: a light-receiving system 11b which acquires a photographed image of a testing subject placed in front of the object lens 11c; a management server 102 for outputting a maintenance instruction that is a diagnostic result of the object lens 11c based on the comparison between image data of the photographed image that is acquisition data acquired based on the photographed image and reference data; and an apparatus side display part 13 which displays the maintenance instruction.SELECTED DRAWING: Figure 1

Description

The present invention relates to an ophthalmic apparatus and a method for maintaining the ophthalmic apparatus.

Conventionally, an ophthalmic apparatus that inspects an eye to be inspected by remote control has been known (see, for example, Patent Document 1).

Japanese Unexamined Patent Publication No. 2017-14392

By the way, in the ophthalmic apparatus, the examination of the eye to be inspected is performed based on the photographed image of the eye to be inspected, but the objective lens facing the eye to be inspected and other built-in lenses have foreign matter such as dust or scratches, or the ophthalmic apparatus. If the various mechanisms provided in the above are malfunctioning, shadows, haze, black spots, etc. will be reflected in the photographed image of the eye to be inspected. Then, the accuracy of optometry may be lowered due to the shadow or the like being reflected in the captured image. Therefore, it is necessary to perform lens cleaning, determine the presence or absence of scratches on each lens, and perform maintenance such as aperture adjustment. However, in the conventional ophthalmic apparatus, since the examination of the eye to be inspected is performed by remote control, the staff who are familiar with the maintenance of the ophthalmic apparatus is not always accompanied by the ophthalmic apparatus. Therefore, there has been a problem that it is difficult to properly perform maintenance such as lens cleaning.

The present invention has been made with attention to the above problems, and an object of the present invention is to provide an ophthalmic apparatus and a maintenance method for the ophthalmic apparatus capable of appropriately performing maintenance of an optical system necessary for photographing an eye to be inspected.

In order to achieve the above object, the ophthalmic apparatus of the present invention is an ophthalmic apparatus that photographs an eye to be inspected via an optical system, and includes an image acquisition unit that acquires a captured image captured through the optical system and a captured image. It is provided with a data determination unit that outputs the diagnostic result of the optical system based on the comparison between the acquired data obtained based on the data and the reference data, and a result display unit that displays the diagnostic result.

Further, in order to achieve the above object, the maintenance method of the ophthalmic apparatus of the present invention is a maintenance method of the ophthalmic apparatus for photographing the eye to be inspected through the optical system. First, the photographed image taken through the optical system is captured. get. Next, the diagnostic result of the optical system is output based on the comparison between the acquired data obtained based on the captured image and the reference data, and the diagnostic result is displayed.

In the ophthalmic apparatus and the maintenance method of the ophthalmic apparatus configured in this way, after acquiring the captured image, the acquired data obtained based on the captured image is compared with the reference data, and the diagnostic result of the optical system is output. Display the output diagnostic result. Therefore, the user of the ophthalmic apparatus can grasp the presence or absence of maintenance of the optical system, the content of necessary maintenance, and the like by checking the displayed diagnostic result of the optical system. Therefore, even if a staff member who is familiar with the maintenance of the ophthalmic apparatus is not present near the ophthalmic apparatus, it is possible to appropriately perform the maintenance of the optical system necessary for photographing the eye to be inspected such as the objective lens.

It is a system block diagram of the ophthalmic apparatus of Example 1. FIG. It is a block diagram which shows the structure of the eye examination part of the ophthalmic apparatus of Example 1. FIG. It is explanatory drawing which shows the display content of the server side display part of Example 1. FIG. It is explanatory drawing which shows the display content of the apparatus side display part of Example 1. FIG. It is a flowchart which shows the maintenance process executed by the ophthalmic apparatus of Example 1. FIG. It is image data of a standard fundus image as an example of reference data. It is a block diagram which shows the ophthalmic apparatus of Example 2. It is explanatory drawing which shows the other example of the display content of the display part on a device side.

Hereinafter, a mode for carrying out the ophthalmic apparatus of the present invention and the maintenance method of the ophthalmic apparatus will be described based on Examples 1 and 2 shown in the drawings.

(Example 1)
Hereinafter, the configuration of the ophthalmic apparatus 100 of Example 1 will be described with reference to FIG.

The ophthalmic apparatus 100 includes an optometry unit 10 for photographing, observing, and inspecting an eye to be inspected E (see FIG. 2) (hereinafter referred to as “eye examination”), and a management server 102 (data determination unit). The unit 10 and the management server 102 can communicate with each other via the network N.

The eye examination unit 10 is an autorefractometer, a fundus camera, or the like, and one or more of them are installed in each of one or more facilities 101. The optometry unit 10 is operated by a user to perform an optometry, or is installed by a local maintenance staff. Here, the user and the local maintenance staff are users who directly operate the eye examination unit 10, and are not familiar with the maintenance of the eye examination unit 10. That is, the user and the local maintenance staff have the optics required for photographing the lens, the illumination diaphragm, etc. provided in the eye examination unit 10 based on the acquired data obtained based on the photographed image of the test subject and the eye E to be inspected. The state of the system cannot be estimated properly. The user refers to a so-called examiner such as a hospital staff member or an optician clerk. Further, the local maintenance staff refers to a clerk of a sales agent of the eye examination unit 10.

The "lens provided in the eye examination unit 10" is a lens interposed between the photographing means (the image pickup element 11e of the light receiving system 11b described later) of the eye examination unit 10 and the eye E to be inspected. For example, the objective lens 11c (see FIG. 2). The "acquired data obtained based on the captured image of the test subject" is, here, the image data of the captured image of the test subject.

Then, the eye examination unit 10 photographs the test subject or the eye to be inspected E installed in front of the objective lens 11c (see FIG. 2), and acquires a photographed image. The test subject is installed by a user who directly operates the eye examination unit 10 or a local maintenance staff member. Then, the optometry unit 10 acquires the captured image of the test subject or the eye E to be inspected, acquires the acquired data based on the captured image, and transmits the acquired data to the management server 102 via the network N. .. Further, the optometry unit 10 receives the diagnosis result of the optical system (eye examination system 11 described later) returned from the management server 102 via the network N, and the received diagnosis result is used by the user or local maintenance. Display to staff. As a result, in the optometry unit 10, the user who confirmed the diagnosis result or the local maintenance staff, based on the displayed diagnosis result, if necessary, an optical system including a lens provided in the optometry unit 10 for imaging. Maintenance of (optometry system 11) (for example, cleaning of the objective lens 11c) is performed.

The management server 102 includes a data memory 103, an AI engine 104, a server-side display unit 105 (display unit), a server-side input unit 106 (input unit), and a server-side control unit 107. The management server 102 receives the acquired data transmitted from the eye examination unit 10 via the network N. In addition, the management server 104 returns the diagnosis result of the optical system (optometry system 11) required for imaging to the optometry unit 10 that has transmitted the acquired data via the network N. Here, the management server 102 is monitored by the upper maintenance staff. The upper maintenance staff is familiar with the maintenance of the ophthalmic apparatus 100, and from the acquired data obtained based on the photographed image of the test subject or the eye E to be inspected, the dirt and scratches on the lens, the position of the illumination diaphragm, etc. It refers to a person who can appropriately estimate the state of the optical system (optometry system 11) required for imaging.

The data memory 103 stores reference data for comparison with the acquired data obtained from the test subject or the captured image of the eye E to be inspected. The reference data is, for example, various data listed below.
-Standard normal image image data obtained by placing a test subject in front of the normal objective lens 11c-Image data of the factory image obtained by placing the test subject in front of the objective lens 11c at the time of shipment- Image data of the registered image registered in advance when using the eye examination unit 10-Measurement data of the test subject obtained by analyzing the normal image (spherical power, cylindrical power, cylindrical axis, etc.)
-Standard (normal) fundus image image data (see Fig. 6)
-Measurement data (spherical power, cylindrical power, cylindrical axis, etc.) obtained by analyzing a standard (normal) fundus image.
The image data or measurement data of the fundus image may be image data or statistical data generated by statistically processing a plurality of fundus images.

The AI engine 104 (artificial intelligence processing unit) has a trained AI model, and uses the acquired data transmitted from the eye examination unit 10 via the network N and the reference data read from the data memory 103 as the AI model. input. In the AI model, the acquired data and the reference data are compared, and as a result of this comparison, the difference between the acquired data and the reference data (for example, the difference in image size, shape, color, etc.) is extracted. Then, the type and position of the data difference are specified from the extracted difference. The "data difference" is a phenomenon that occurs on the captured image when the acquired data is image data, and the "type of data difference" at this time is, for example, moya, ghost, shadow, flare. , Black spots, white spots, partially bright, etc. Further, the "position of the data difference" is a position on the image where the data difference such as haze occurs. On the other hand, when the acquired data is measurement data, the "data difference" is the difference in the measurement data, and the "type of data difference" at this time is the type of measurement data (spherical frequency, etc.).

After specifying the type and position of the data difference, the AI engine 104 estimates the location of the cause of the data difference and the cause of the data difference based on the type and position of the data difference using the AI model. The "location causing the data difference" is, for example, the type of lens such as the objective lens 11c or the illumination lens, the CCD, or the like. In addition, "causes of data difference" include, for example, device failure such as adhesion of dust and dirt to the lens, lens dirt, misalignment of each optical element, mechanical malfunction, improper setting of shooting light amount or various gains, contrast. Weakness, improper camera settings (white balance, etc.), deterioration of parts, movement of the subject's head, severe myopia of the subject, poor pupillary examination, poor condition of tears in the eye to be examined, eyelids, eye to be examined Diseases (cataracts, etc.), etc.

Then, the AI engine 104 comprehensively determines the estimated cause location and the cause, identifies the diagnostic result of the optical system (optometry system 11) required for imaging provided in the optometry unit 10, and outputs the diagnosis result. Here, the diagnostic results output from the AI engine 104 are, for example, cleaning of the objective lens 11c, the illumination system lens, the angle of view correction lens, etc., position adjustment of various lenses, accuracy confirmation, mechanism operation adjustment, shooting light amount and various gains. It is a maintenance instruction such as adjustment of. In addition, this diagnosis result may include a person who handles maintenance (whether the user or local maintenance staff handles it, a higher-level maintenance staff handles it, or asks the manufacturer for repair, etc.).

The server-side display unit 105 is composed of, for example, a liquid crystal screen or the like, and is provided at a position visible to a higher-level maintenance staff. As shown in FIG. 3, the server-side display unit 105 has reference data (image data of a normal image, a portion surrounded by a broken line A) read from the data memory 103, and acquired data transmitted from the eye examination unit 10 (a portion surrounded by a broken line A). The image data of the test subject or the eye E to be inspected (the part surrounded by the broken line B) and the diagnosis result (maintenance instruction, the part surrounded by the broken line C) output from the AI engine 104 are displayed. In the diagnosis result displayed in FIG. 3 (the portion surrounded by the broken line C), the diagnosis result is displayed for the portion of the acquired data numbered with “2”.

The server-side input unit 106 is composed of, for example, a keyboard, a mouse, or the like, and is provided at a position that can be operated by a higher-level maintenance staff. The server-side input unit 106 is operated when the upper maintenance staff who has confirmed the acquired data and the reference data displayed on the server-side display unit 105 determines that the diagnosis result output from the AI engine 104 is incorrect. .. The diagnosis result output from the AI engine 104 is corrected by the information input via the server-side input unit 106.

The server-side control unit 107 has a microprocessor, RAM, ROM, hard disk drive, communication interface, and the like, receives acquired data transmitted from the eye examination unit 10, and inputs the acquired data to the AI engine 104. Further, when the diagnostic result output from the AI engine 104 is not corrected by the upper maintenance staff, the server-side control unit 107 transmits the acquired data as it is to the diagnostic result output from the AI engine 104. It will be returned to Part 10. If the diagnosis result of the AI engine 104 is corrected by the upper maintenance staff, the corrected diagnosis result is returned to the eye examination unit 10 that has transmitted the acquired data.

When the diagnosis result is corrected by the upper maintenance staff, the corrected diagnosis result and the acquired data are associated with each other and fed back to the AI engine 104. The AI model of the AI engine 104 can achieve functional growth by learning with the fed-back corrected diagnosis result and the acquired data associated with the diagnostic result.

Hereinafter, the configuration of the eye examination unit 10 of the first embodiment will be described with reference to FIG.

As shown in FIG. 2, the optometry unit 10 includes an optometry system 11, a device-side control unit 12 (data transmission unit, result reception unit), and a device-side display unit 13 (result display unit). The eye E to be inspected is photographed through the objective lens 11c provided in the eye examination system 11.

The optometry system 11 is an optical system for inspecting the eye characteristics of the eye to be inspected E, and the optometry unit 10 photographs the eye to be inspected E through the optometry system 11. That is, the optometry system 11 is an optical system necessary for photographing, and mainly includes a projection system 11a, a light receiving system 11b (image acquisition unit), an objective lens 11c, and a beam splitter 11f.

The projection system 11a is an optical system that irradiates (projects) a light beam from the light source 11d toward the fundus of the eye E to be inspected, and includes a light source 11d, a condensing lens (not shown), and the like. The light source 11d is also used as an illumination light source for photographing the eye E to be examined and the test subject.

The light receiving system 11b is an optical system in which the image pickup element 11e receives the reflected light from the eye E to be inspected and the reflected light from the test subject installed in front of the objective lens 11c, and the image pickup element 11e and a relay lens (not shown). It has an aperture, an imaging lens, and the like. The image sensor 11e acquires a photographed image of the eye E to be inspected and a photographed image of the test subject from the image information of the received two-dimensional pattern image, and outputs the photographed image to the device side control unit 12. As the image sensor 11e, a light receiving element such as an area CCD can be used. Here, the "test subject" is a predetermined subject used for confirming the state (dust, dirt, scratches, etc.) of various lenses provided in the optometry system 11 such as the objective lens 11c. Is. When the eye examination unit 10 is a fundus camera, a white reflector such as white paper is used as the test subject. When the eye examination unit 10 is an autorefractometer, a model eye is used as a test subject.

The objective lens 11c is one of the lenses provided in the optometry system 11, is provided at a position facing the optometry E, and is exposed to the outside of the housing of the optometry unit 10. The beam splitter 11f is arranged between the objective lens 11c and the projection system 11a and the light receiving system 11b. The beam splitter 11f guides the light flux from the projection system 11a to the eye E to be inspected, and guides the reflected light from the eye E to be inspected and the test subject to the image sensor 11e of the light receiving system 11b.

The device-side control unit 12 has a microprocessor, RAM, ROM, hard disk drive, communication interface, etc., and sets each part of the optometry system 11 based on an operation signal output from an operation unit (not shown) operated by the user or the like. Control. Further, the device-side control unit 12 acquires acquired data based on the test subject acquired by the light receiving system 11b and the captured image of the eye E to be inspected, and transfers the acquired data to the management server 102 via the network N. Send. Further, the device-side control unit 12 receives the diagnosis result of the optometry system 11 returned from the management server 102 via the network N, and causes the device-side display unit 13 to display the received diagnosis result. Further, the device-side control unit 12 causes the device-side display unit 13 to display the captured image of the eye E to be inspected acquired by the light receiving system 11b, or the refractive power of the eye E to be inspected based on the captured image of the eye E to be inspected. The inspection result of is calculated.

The device-side display unit 13 is composed of, for example, a liquid crystal screen or the like, and is installed at a position visible to the user who operates the eye examination unit 10 or the local maintenance staff. The display content of the device-side display unit 13 is controlled by the device-side control unit 12, and displays a photographed image of the eye to be inspected E, an inspection result of the eye to be inspected E, a diagnosis result of the eye examination system 11, and the like. Note that FIG. 4 shows an example of displaying the diagnosis result of the optometry system 11 on the device side display unit 13. In the case shown in FIG. 4, in addition to the maintenance instruction (the part surrounded by the broken line D) which is the diagnosis result of the optometry system 11, the instructed maintenance execution procedure (the part surrounded by the broken line E) is also displayed on the device side display unit 13. ..

Hereinafter, the maintenance process executed by the ophthalmic apparatus 100 will be described with reference to the flowchart shown in FIG. The processes of steps S1 to S3, steps S10, and steps S11 in the flowchart shown in FIG. 5 are executed by the eye examination unit 10. Further, each process of steps S4 to S9 in the flowchart shown in FIG. 5 is executed by the management server 102.

In step S1, the test subject is placed in front of the objective lens 11c, and the process proceeds to step S2. Here, the test subject is installed by the user who directly operates the ophthalmic apparatus 100 or the local maintenance staff at an appropriate timing as needed.

In step S2, following the installation of the test subject in step S1, the light receiving system 11b acquires a photographed image of the test subject installed in front of the objective lens 11c, and proceeds to step S3. Here, the acquisition of the captured image is executed when a predetermined photographing operation such as pressing a photographing button provided on the eye examination unit 10 is performed by a user or the like.

In step S3, following the acquisition of the captured image in step S2, the device side control unit 12 manages the acquired data (here, the image data of the captured image of the test subject) acquired based on the acquired captured image. It transmits to the server 102 and proceeds to step S4. Here, the transmission of the acquired data is executed when a predetermined transmission operation such as pressing a transmission button provided on the eye examination unit 10 is performed by a user or the like.

In step S4, following the transmission of the acquired data in step S3, the server-side control unit 107 receives the acquired data transmitted from the eye examination unit 10 and proceeds to step S5. The acquired data received by the server-side control unit 107 is input to the AI model of the AI engine 104.

In step S5, following the reception of the acquired data in step S4, the AI engine 104 reads the reference data from the data memory 103 and proceeds to step S6. The read reference data is input to the AI model included in the AI engine 104.

In step S6, following the reading of the reference data in step S5, the reference data and the acquired data are compared with the AI model of the AI engine 104, the data difference is specified, and the diagnosis result of the optometry system 11 is output. Proceed to step S7. Here, the comparison between the reference data and the acquired data is performed using a well-known image matching technique or the like.

In step S7, following the output of the diagnosis result in step S6, the server side control unit 107 displays the reference data, the acquired data, and the diagnosis result of the optometry system 11 output from the AI engine 104 on the server side display unit. The display is displayed on 105, and the process proceeds to step S8.

In step S8, following the result display in step S7, the server-side control unit 107 determines whether or not the diagnosis result has been corrected, and proceeds to step S9. Here, the correction of the diagnosis result is performed when the upper maintenance staff who has confirmed the diagnosis result displayed on the server side display unit 105 determines that the diagnosis result is incorrect. Further, the correction of the diagnosis result is performed by the information input by the upper maintenance staff via the server side input unit 106.

In step S9, following the determination of whether or not the diagnosis result is corrected in step S8, the server-side control unit 107 returns the diagnosis result of the optometry system 11 to the optometry unit 10 that has transmitted the acquired data, and proceeds to step S10. move on. Here, in step S8, when it is determined that the diagnosis result output from the AI engine 104 has been corrected by the upper maintenance staff, the corrected diagnosis result is returned. On the other hand, when it is determined in step S8 that the diagnosis result from the AI engine 104 has not been corrected, the diagnosis result output from the AI engine 104 is returned as it is.

In step S10, following the return of the diagnosis result in step S9, the device-side control unit 12 receives the diagnosis result of the optometry system 11 returned from the management server 102, and proceeds to step S11.

In step S11, following the reception of the diagnosis result in step S10, the device-side control unit 12 displays the received diagnosis result on the device-side display unit 13, and proceeds to the end.

Hereinafter, the necessity and problems of maintenance of the optometry system 11 of the optometry unit 10 will be described.

In the ophthalmic apparatus 100, generally, the eye to be inspected E is irradiated with a luminous flux from the projection system 11a, the reflected light reflected by the eye to be inspected E is received by the light receiving system 11b, and a photographed image of the eye to be inspected E is acquired. .. Then, the inspection result of the eye E to be inspected is calculated based on the acquired image of the eye E to be inspected.

Here, for example, if foreign matter such as dust or dirt adheres to the objective lens 11c, the foreign matter is reflected in the captured image as a phenomenon such as shadow, ghost, black spot, or flare. In addition, shadows and ghosts are reflected in the captured image due to misalignment of each optical element, malfunction of the mechanism, improper setting of shooting light amount and various gains, weak contrast, improper camera setting, and the like. However, if only one photographed image is viewed, the shadow or the like reflected in the photographed image may be caused by the lesion of the eye E to be inspected, or may be caused by a foreign substance adhering to the objective lens 11c or an abnormality of the device. It is difficult to tell if it is. In particular, white spots on the image are difficult to distinguish from hard white spots of simple retinopathy. In addition, black spots on the image are easily mistaken for bleeding spots. That is, lens defects such as dirt and scratches on the lens, misalignment of the optical element, and the like may affect the accuracy of the optometry result. Therefore, there is a demand that lens stains and the like should be removed before eye examination.

On the other hand, in the ophthalmic apparatus 100, it is generally specified in the instruction manual, the specifications, and the like that the objective lens 11c, the measurement window, the light source for measuring the peripheral kerato, and the like are cleaned. It also stipulates that the objective lens 11c should be cleaned and the illumination lens should be cleaned based on the state of the captured image.

However, it is the user or the local maintenance staff who actually operates the eye examination unit 10 of the ophthalmic apparatus 100, and is not familiar with the maintenance of the ophthalmic apparatus 100. That is, the user or the like cannot appropriately determine the lens state such as whether dust is attached to the lens such as the objective lens 11c from the captured image and the measurement data obtained based on the captured image. .. Further, depending on the state of the optometry system 11, maintenance such as adjustment that cannot be handled by the user or the like may be required. However, it is difficult for users and the like to determine whether or not maintenance can be handled by themselves from captured images and measurement data. Therefore, there is a problem that the maintenance of the optometry system 11 of the ophthalmic apparatus 100 cannot be properly performed, and defects of the optometry system 11 such as lens stains cannot be solved before the optometry.

Hereinafter, the effects of the maintenance method of the ophthalmic apparatus 100 and the ophthalmic apparatus 100 of Example 1 will be described.

In order to execute the maintenance process in the ophthalmic apparatus 100 of the first embodiment, first, the processes of steps S1 and S2 in the flowchart shown in FIG. 5 are sequentially performed. That is, the test subject is installed in front of the objective lens 11c of the eye examination unit 10, and the light receiving system 11b of the eye examination unit 10 acquires a photographed image of the test subject installed in front of the objective lens 11c.

Subsequently, the process of step S3 is executed, and the device-side control unit 12 of the eye examination unit 10 transmits the acquired data obtained based on the captured image to the management server 102.

When the acquired data is transmitted, the server-side control unit 107 of the management server 102 performs the process of step S4 in the flowchart shown in FIG. 5, receives the acquired data, and inputs the acquired data to the AI model of the AI engine 104. When the acquired data is input, the AI engine 104 performs the processes of steps S5 and S6 in order. That is, in this AI engine 104, the reference data is read from the data memory 103 and input to the AI model. Then, the reference data and the acquired data are compared with the AI model, the data difference is specified, and the diagnosis result (maintenance instruction) of the optometry system 11 is calculated.

After the diagnosis result of the optometry system 11 is calculated, the server-side control unit 107 performs the processes of step S7, step S8, and step S9 in order, and outputs the reference data, the acquired data, and the AI engine 104 as shown in FIG. The diagnosis result of the optometry system 11 is displayed on the server side display unit 105. Then, when it is determined that the diagnosis result has been corrected, the corrected diagnosis result is returned to the eye examination unit 10. On the other hand, when it is determined that the diagnosis result has not been corrected, the diagnosis result output from the AI engine 104 is returned to the eye examination unit 10 as it is.

Then, when the diagnosis result is returned, the device-side control unit 12 of the eye examination unit 10 performs the processes of step S10 and step S11 in order. That is, the diagnosis result returned from the management server 102 is received, and as shown in FIG. 4, the diagnosis result is displayed by the device side display unit 13.

As a result, the user or the local maintenance staff who directly operates the optometry unit 10 can clean the objective lens 11c and the mechanism by confirming the diagnosis result which is the maintenance instruction of the optometry system 11 shown on the display unit 13 on the device side. Necessity of maintenance such as adjustment of operation, accurate maintenance method, and maintenance supporter (whether the user or local maintenance staff handles it, the upper maintenance staff handles it, or asks the manufacturer for repair, etc. ) Can be grasped. Therefore, the maintenance of the optometry unit 10 is supported by the AI engine 104 on the management server 102 side and the upper maintenance staff, and even a user or a local maintenance staff who is not familiar with the maintenance of the optometry unit 10 can perform the maintenance. Maintenance of the optometry system 11 such as the objective lens 11c can be appropriately performed. As a result, it is possible to solve problems of the optometry system 11 such as lens stains in advance before the optometry, to perform an appropriate optometry, and to prevent a decrease in the optometry accuracy.

Further, in the ophthalmic apparatus 100, the acquired data is transmitted from the eye examination unit 10 to the management server 102 via the network N, and the diagnosis result is transmitted from the management server 102 to the eye examination unit 10 via the network N. .. That is, since the maintenance of the ophthalmic apparatus 100 can be supported by the management server 102 via the network N, it is possible to promptly respond to the maintenance service even if the upper maintenance staff cannot be dispatched to the eye examination unit 10. Become.

Further, the management server 102 only compares the received acquired data with the reference data, outputs the diagnosis result and returns it, and the actual maintenance (lens cleaning, etc.) is performed by using the eye examination unit 10 if possible. Performed by users who operate directly. Therefore, it is possible to monitor the maintenance status of a large number of optometry systems 11 by one management server 102. In addition, maintenance costs can be reduced by performing maintenance by the user or the like.

Further, in the ophthalmic apparatus 100 of the first embodiment, the image data of the captured image is used as the acquired data obtained based on the captured image of the test subject. As a result, the appearance of the captured image can be used as an estimation parameter for the state of the optometry system 11, and the accuracy of the state estimation of the optometry system 11 can be improved. The captured image may be a moving image, and even in this case, the state of the optometry system 11 can be estimated based on the appearance of the captured image.

Then, in the ophthalmic apparatus 100 of the first embodiment, the management server 102 includes the AI engine 104. Then, the AI engine 104 has a trained AI model (trained model), and uses this AI model to compare the reference data with the captured data of the test subject, which is the acquired data, to identify the data difference. The diagnosis result of the optometry system 11 is output based on the specified data difference.

Therefore, the output of the diagnosis result on the management server 102 can be automatically performed without relying on human labor, and human personnel can be eliminated. Further, by outputting the diagnosis result based on the comparison between the reference data and the acquired data by the AI engine 104, it is possible to unify the judgment criteria and suppress the variation in the quality of the diagnosis result.

Further, in the first embodiment, the management server 102 includes a server-side display unit 105 and a server-side input unit 106, and the reference data, the acquired data, and the diagnosis result output from the AI engine 104 are displayed on the server side. It is displayed on the display unit 105. As a result, when the upper maintenance staff who confirmed the display contents of the server side display unit 105 determines that the diagnosis result output from the AI engine 104 is incorrect, the diagnosis result is corrected via the server side input unit 106. , This corrected diagnostic result will be returned. That is, the diagnosis result determined by the upper maintenance staff can be returned from the management server 102 to the eye examination unit 10.

(Example 2)
Hereinafter, the configuration of the ophthalmic apparatus 200 of Example 2 will be described with reference to FIG. 7. The same components as those in the first embodiment are designated by the same reference numerals as those in the first embodiment, and detailed description thereof will be omitted.

The ophthalmic apparatus 200 of the second embodiment has an optometry system 11, a data determination unit 20, an apparatus-side control unit 12, and an apparatus-side display unit 13 (result display unit), and is provided in the optometry system 11. The eye E to be inspected is inspected through the objective lens 11c. Here, the optometry system 11, the data determination unit 20, the device side control unit 12, and the device side display unit 13 are connected to each other via the LAN cable 202 and are built in the device housing 201.

The data determination unit 20 includes a data memory 103 and an AI engine 104. Here, since the data memory 103 has the same configuration as that of the first embodiment, detailed description thereof will be omitted.

On the other hand, acquired data (for example, image data of the captured image) obtained from the device-side control unit 12 based on the captured image of the test subject is input to the AI engine 104 of the data determination unit 20 via the LAN cable 202. Will be done. Further, the AI engine 104 reads the reference data from the data memory 103 when the acquired data is input. Then, the AI engine 104 inputs the acquired data input from the device-side control unit 12 and the reference data read from the data memory 103 into the learned AI model it has. The AI model compares the input reference data with the acquired data, and as a result of this comparison, identifies the data difference between the reference data and the acquired data, and based on the specified data difference, stains on the objective lens 11c and various mechanisms. Estimate the cause of data differences such as malfunction of. Then, the diagnosis result of the optometry system 11 is specified according to the cause of the estimated data difference. The diagnosis result identified by the AI model is output from the AI engine 104 and input to the device-side control unit 12 via the LAN cable 202.

The device-side control unit 12 acquires the captured image of the test subject installed in front of the objective lens 11c by the image sensor 11e of the light receiving system 11b, and then acquires the image data of the captured image. Then, the acquired image data is input to the data determination unit 20 via the LAN cable 202 as the acquired data. Further, the diagnosis result of the optometry system 11 output from the data determination unit 20 is input to the device-side control unit 12 via the LAN cable 202.

Then, also in the ophthalmic apparatus 200 of the second embodiment, the diagnosis result of the optometry system 11 input to the apparatus side control unit 12 is displayed on the apparatus side display unit 13 (see FIG. 4), and the user who operates the ophthalmic apparatus 200 And local maintenance staff make it visible.

Hereinafter, the action and effect of the ophthalmic apparatus 200 of Example 2 will be described.

That is, in the ophthalmic apparatus 200 of the second embodiment, first, a test subject installed in front of the objective lens 11c provided in the optometry system 11 is photographed, and a photographed image of the test subject is acquired. Further, the image data of the captured image is acquired as the acquisition data. Then, the acquired data (image data of the captured image) is input from the device-side control unit 12 to the data determination unit 20 via the LAN cable 202.

The data determination unit 20 inputs the acquired data input from the device-side control unit 12 into the AI model of the AI engine 104. The AI engine 104 reads the reference data from the data memory 103 and inputs it to the AI model. Then, the data difference is specified by comparing the reference data and the acquired data using the AI model, the cause of the data difference is estimated based on the specified data difference, and the diagnosis result (maintenance instruction) of the optometry system 11 is obtained. calculate.

When the diagnosis result of the optometry system 11 is calculated by the AI engine 104, the data determination unit 20 outputs the diagnosis result of the optometry system 11. This diagnosis result is input to the device-side control unit 12 via the LAN cable 202 and displayed on the device-side display unit 13.

As described above, even in the ophthalmic apparatus 200 of the second embodiment, the user who directly operates the ophthalmic apparatus 200 and the local maintenance staff can receive the diagnosis result (maintenance instruction) of the optometry system 11 shown on the device side display unit 13. By checking, it is possible to grasp the necessity of lens cleaning of the objective lens 11c and the like, correction of misalignment of each optical element, necessary maintenance such as setting adjustment of shooting light amount and various gains. Therefore, even a user who is not familiar with the maintenance of the ophthalmic apparatus 200 or a local maintenance staff can properly perform the maintenance of the optometry system 11, and causes problems of the optometry system 11 such as lens stains in advance before the optometry. It becomes possible to eliminate it.

Further, in the ophthalmic apparatus 200 of the second embodiment, the data determination unit 20 and the apparatus side control unit 12 are connected by a LAN cable 202 and are built in the apparatus housing 201. As a result, information can be input / output without going through the network N.

The ophthalmic apparatus of the present invention and the maintenance method of the ophthalmic apparatus have been described above based on Examples 1 and 2, but the specific configuration is not limited to these Examples, and claims are made. Design changes and additions are permitted as long as they do not deviate from the gist of the invention according to each claim.

In Example 1 and Example 2, the image data of the photographed image of the test subject is used as the acquired data obtained based on the photographed image, but the present invention is not limited to this. As the acquired data, for example, the measurement data obtained by analyzing the captured image may be used. The measurement data is, for example, the spherical power, the cylindrical power, the cylindrical axis, the refractive index, etc. of the model eye calculated from the ring image obtained by photographing the model eye.

Further, in the above-mentioned Examples 1 and 2, an example in which the test subject is installed in front of the objective lens 11c and the image data of the captured image of the test subject is used as the acquisition data is shown, but the present invention is not limited to this. .. The image data of the photographed image of the eye E to be inspected or the measurement data obtained by analyzing the photographed image of the eye E to be inspected may be used as the acquisition data. In this case, it is not necessary to set a test subject. That is, if the image is taken by the eye examination system 11, the acquired data can be obtained regardless of whether the image to be photographed is the test subject or the eye E to be inspected.

Further, as the acquired data obtained based on the captured image, both "image data of the captured image" and "measurement data obtained by analyzing the captured image" may be used. When the image data and the measurement data are used as the acquired data, the state of the optometry system 11 can be estimated from various viewpoints, and the estimation accuracy of the optometry system state can be improved. Further, at this time, as shown in FIG. 8, the device side display unit 13 has a ring image (a portion surrounded by a broken line F) which is a captured image and an image data (a portion surrounded by a broken line G) of a normal image which is reference data. ), The measurement data (the part surrounded by the broken line H) which is the acquired data, and the maintenance instruction (the part surrounded by the broken line J) which is the diagnosis result may be displayed. In the example shown in FIG. 8, the person who responds to the maintenance is also displayed as the diagnosis result. As a result, it is possible to clarify the division of maintenance personnel.

Further, in the first embodiment, the management server 102 has the AI engine 104, and the diagnosis result of the optometry system 11 is calculated by the AI model of the AI engine 104 and output from the AI engine 104. Then, when it is determined by the upper maintenance staff that the diagnosis result output from the AI engine 104 is incorrect, the diagnosis result input via the server-side input unit 106 is returned. That is, in the first embodiment, the AI engine 104 basically estimates the lens state and gives maintenance instructions, and the upper maintenance staff estimates the lens state and gives maintenance instructions as an auxiliary one.

However, it is not limited to this. For example, the management server 102 includes a server-side display unit 105 and a server-side input unit 106, and performs higher-level maintenance in which acquired data such as captured image data and measurement data displayed on the server-side display unit 105 and reference data are confirmed. The staff may input the diagnosis result via the server-side input unit 106 and return the diagnosis result input by the higher-level maintenance staff. In this case, the input is input based on the judgment of the upper maintenance staff, and the diagnosis result is always returned to the eye examination unit 10.

As described above, the comparison between the acquired data and the reference data in the management server 102 and the output of the diagnosis result of the optometry system 11 based on this comparison may be performed mechanically or manually. In any case, appropriate maintenance of the optometry system 11 should be performed while not requiring the judgment of a user who directly operates the optometry unit 10 or a person who is not familiar with the maintenance of the optometry unit 10 such as a local maintenance staff. Can be done.

Further, in the first embodiment, an example is shown in which the test subject is appropriately set by the user who directly operates the eye examination unit 10 or the local maintenance staff, and the photographed image is acquired when the test subject is set. Not limited to. For example, the test subject may be a white reflector with a white inside of the cap fitted to the measurement window at the end of the eye examination, or a model eye attached to the receiver with an attachment at the end of the eye examination. Then, the captured image is automatically acquired at the timing when the cap or the model eye is attached, and the captured image is periodically sent to the management server 102 at a predetermined interval set in advance (for example, every time the optometry is completed). It may be sent to.

As a result, the maintenance of the optometry system 11 can be performed at predetermined intervals, and it is possible to prevent the maintenance intervals from being unnecessarily extended. Further, even if a defect of the optometry system 11 such as a lens stain occurs, it can be quickly detected and resolved. Further, by performing regular maintenance, it is possible to prevent the occurrence of defects in the optometry system 11 in advance.

Further, in the first embodiment, the diagnosis result shows an example in which the maintenance instruction (for example, "clean the objective lens") and the maintenance procedure (lens cleaning method) are displayed in addition to the maintenance instruction of the optometry system 11. It was. As a result, even if the maintenance procedure is not grasped, it is not necessary to check the manual or the like, and the maintenance of the optometry system 11 can be easily performed. Further, in addition to the maintenance instruction, advice to the user, educational instruction to the local maintenance staff, and the like may be added as needed.

Further, in the first and second embodiments, the objective lens 11c is shown as the lens provided in the optometry system 11, but the present invention is not limited to this. For example, a lens provided in an optical system necessary for photographing the eye E to be inspected, such as a condensing lens, a relay lens, an imaging lens, a collimating lens, or the like, such as a projection system 11a or a light receiving system 11b, may be used.

100 Ophthalmic apparatus 10 Optometry unit 11 Optometry system 11a Projection system 11b Light receiving system (image acquisition unit)
11c Objective lens 11d Light source 11e Image sensor 12 Device side control unit (data transmission unit, result reception unit)
13 Device side display (result display)
100 Maintenance system 102 Management server (data judgment unit)
103 Data memory 104 AI engine (artificial intelligence processing unit)
105 Server side display unit (display unit)
106 Server side input section (input section)
107 Server-side control unit E Eye to be inspected N Network

Claims (8)

An ophthalmic device that photographs the eye to be inspected via an optical system.
An image acquisition unit that acquires a captured image taken through the optical system,
A data determination unit that outputs a diagnostic result of the optical system based on a comparison between the acquired data obtained based on the captured image and the reference data.
A result display unit that displays the diagnosis result and
An ophthalmic device characterized by comprising. In the ophthalmic apparatus according to claim 1.
The image acquisition unit acquires a captured image of a test subject installed in front of the objective lens, and obtains a captured image.
The data determination unit is an ophthalmic apparatus, characterized in that it outputs a diagnostic result of the optical system based on a comparison between acquired data obtained based on a captured image of the test subject and the reference data. In the ophthalmic apparatus according to claim 1 or 2.
The data determination unit is an ophthalmologic apparatus characterized in that at least one of the image data of the captured image and the measurement data of the imaging target obtained by analyzing the captured image is used as the acquired data. In the ophthalmic apparatus according to any one of claims 1 to 3.
The data determination unit has a trained model in which the acquired data and the reference data are input, uses the trained model to identify a data difference from a comparison between the acquired data and the reference data, and the data. An ophthalmic apparatus characterized by having an artificial intelligence processing unit that outputs the diagnosis result based on the difference. In the ophthalmic apparatus according to any one of claims 1 to 4.
An ophthalmic apparatus including a data transmission unit that transmits the acquired data to the data determination unit via a network, and a result reception unit that receives the diagnosis result from the data determination unit via the network. .. In the ophthalmic apparatus according to claim 5.
The ophthalmic apparatus, characterized in that the data determination unit includes a display unit for displaying the acquired data and the reference data, and an input unit for inputting the diagnosis result. It is a maintenance method for ophthalmic equipment that photographs the eye to be inspected via an optical system.
Acquired a captured image taken through the optical system,
The diagnostic result of the optical system is output based on the comparison between the acquired data obtained based on the captured image and the reference data.
A maintenance method for an ophthalmic apparatus, which comprises displaying the diagnosis result. In the maintenance method of the ophthalmic apparatus according to claim 7.
A method for maintaining an ophthalmic apparatus, which comprises periodically acquiring the captured images at predetermined predetermined intervals and periodically outputting the diagnostic results using the captured images.