System, server, and method capable of tracking gaze direction while assisting in selection of intraocular lens through corneal shape measurement

Abstract

The present disclosure relates to a system, a server, and a method that: accurately measure a user's corneal shape; enable tracking of a gaze direction while assisting in the selection of an intraocular lens on the basis of the corneal shape; and, in the case of dry eyes where the tear film is unstable and a single measurement may be inaccurate, improve the accuracy of corneal shape measurement by performing 24-hour measurement using an infrared-based Placido ring-shaped light source according to the present disclosure, and enable same to be used for gaze direction tracking.

Description

System, server and method capable of tracking gaze direction while assisting in selection of artificial lens through corneal shape measurement

[0001] The present disclosure relates to a device for selecting an artificial lens, and more particularly, to a system, server and method capable of tracking the direction of gaze while assisting in selecting an artificial lens through measuring the shape of the cornea.

[0002] An intraocular lens (IOL) is a lens that is implanted directly into the eye after cataract surgery to remove the crystalline lens. As an intraocular lens, IOLs can provide refractive correction more closely resembling a physiological state than glasses or contact lenses for post-cataract surgery. This can be particularly effective in cases of age-related cataract surgery.

[0003] Just as eyeglasses come in different prescriptions, intraocular lenses are implanted with a range of prescriptions. Depending on individual patient preferences, a lens for distance vision, a lens for near vision, or a multifocal lens for both near and far vision may be needed. Therefore, choosing an intraocular lens that best suits a patient's eye condition and lifestyle can be crucial.

[0004] Additionally, in cases of dry eye, the tear layer is unstable, so a single measurement may result in inaccurate results.

[0005] The purpose of the embodiments disclosed in this disclosure is to enable tracking of the gaze direction while accurately measuring the shape of the user's cornea and assisting in selecting an artificial lens based on the same.

[0006] In addition, in the case of dry eye, the tear layer is unstable and a single measurement may be inaccurate, but the purpose is to increase the accuracy of corneal shape measurement by measuring for 24 hours using an infrared-based placido ring-shaped light source according to the present disclosure and to use it for tracking the gaze direction.

[0007] The problems to be solved by the present disclosure are not limited to the problems mentioned above, and other problems not mentioned will be clearly understood by those skilled in the art from the description below.

[0008] In order to achieve the above-described technical task, a corneal shape measuring device according to one aspect of the present disclosure comprises: a main body; an eye measurement sensor positioned adjacent to a user's eye in the main body to obtain eye image information; and a processor for determining a corneal shape; wherein the processor can obtain the eye image information through the eye measurement sensor and analyze the eye image information according to preset criteria to determine the corneal shape.

[0009] The above eye measurement sensor may include at least one of an image capturing device, a light source irradiation device for irradiating a light source including a placido ring-shaped measurement light, a light source detection device, a tilt sensor, and an illuminance sensor.

[0010] The above processor can acquire eye image information including the shape of the placido ring in a time series manner by photographing the eye after irradiating the light measuring the shape of the placido ring for corneal topography examination toward the eye.

[0011] The processor can analyze eye image information including the placido ring shape according to the preset criteria to determine the corneal shape.

[0012] The above eye image information further includes a corneal region-specific inclination acquired through the inclination sensor, and the processor can determine the corneal shape by analyzing the placido ring shape and the corneal region-specific inclination according to the preset criteria.

[0013] The above eye image information further includes the illuminance for each corneal region acquired through the illuminance sensor, and the processor can determine the corneal shape by analyzing the placido ring shape and the illuminance for each corneal region according to the preset criteria.

[0014] The above eye image information further includes a tear film image obtained by photographing the eye after irradiating a light source toward the eye, and the processor can determine the tear film band height and the tear stability of the entire cornea based on the tear film image, and analyze at least one of the Placido ring shape, the tear film band height, and the tear stability of the entire cornea according to the preset criteria to determine the corneal shape.

[0015] In addition, according to another aspect of the present disclosure, an artificial lens determination server comprises: a corneal shape measuring device for obtaining eye image information of a user and determining a corneal shape based thereon; and an artificial lens determination device for determining an artificial lens for an eye of the user based on at least one of the eye image information and the corneal shape, wherein the artificial lens determination device comprises: an information acquisition unit for collecting the eye image information and the corneal shape; and a processor for controlling an operation of the artificial lens determination unit for determining an artificial lens using at least one of the eye image information and the corneal shape; wherein the processor determines one of a plurality of artificial lenses for the eye of the user using at least one of the eye image information and the corneal shape, and may determine the type and degree of the artificial lens by taking at least one of the eye image information and the corneal shape into consideration.

[0016] The above ocular image information may include at least one of a placido ring shape, a tear film image, a band height of a tear film, tear stability of the entire cornea, gaze information, a corneal region-specific slope, and a corneal region-specific illuminance.

[0017] In addition, a method for determining an artificial lens according to another aspect of the present disclosure may include a step of the artificial lens determination server obtaining eye image information through an eye measurement sensor; a step of determining a corneal shape using the eye image information; and a step of determining one of a plurality of artificial lenses for the user's eye using at least one of the eye image information and the corneal shape, wherein the type and degree of the artificial lens are determined based on one of the eye image information and the corneal shape.

[0018] The above eye measurement sensor may include at least one of an image capturing device, a light source irradiation device for irradiating a light source including a placido ring-shaped measurement light, a light source detection device, a tilt sensor, and an illuminance sensor.

[0019] The above artificial lens determination method can acquire eye image information including a placido ring shape in a time series manner by irradiating a placido ring shape measurement light for corneal topography examination toward the eye in the step of acquiring eye image information and then photographing the eye.

[0020] The above artificial lens determination method can determine the corneal shape by analyzing eye image information including the placido ring shape according to the preset criteria in the step of determining the corneal shape.

[0021] The above eye image information may further include a tear film image obtained by photographing the eye after irradiating a light source toward the eye.

[0022] The method for determining the artificial lens may, in the step of determining the corneal shape, determine the tear film band height and the tear stability of the entire cornea based on the tear film image, and analyze at least one of the placido ring shape, the tear film band height, and the tear stability of the entire cornea according to the preset criteria to determine the corneal shape.

[0023] In addition, a computer program stored in a computer-readable recording medium for executing the present disclosure may be further provided.

[0024] In addition, a computer-readable recording medium recording a computer program for executing a method for implementing the present disclosure may be further provided.

[0025] According to the aforementioned problem solving means of the present disclosure, the accuracy of the acquired corneal shape can be improved because the user's corneal shape is analyzed and acquired through a method including various conditions.

[0026] In addition, the aforementioned problem solving means of the present disclosure provides the effect of being able to determine a suitable artificial lens based on a corneal shape with improved accuracy.

[0027] In addition, according to the aforementioned problem solving means of the present disclosure, since the light source in the shape of a placido ring is infrared-based, it is possible to determine the gaze without causing discomfort such as glare to the patient.

[0028] The effects of the present disclosure are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description below.

[0029] Figure 1 is a block diagram of the artificial lens decision server of the present disclosure.

[0030] Figure 2 is a block diagram of the corneal shape measuring device of the present disclosure.

[0031] Figure 3 is a block diagram of an artificial lens crystal device of the present disclosure.

[0032] Figure 4 is a drawing showing an example of a corneal shape measuring device of the present disclosure.

[0033] Figures 5 to 7 are exemplary diagrams for explaining the artificial lens determination method of the present disclosure.

[0034] Figure 8 is a flowchart for explaining the artificial lens determination method of the present disclosure.

[0035] Throughout this disclosure, the same reference numerals denote the same components. This disclosure does not describe all elements of the embodiments, and any content that is general in the technical field to which this disclosure belongs or that overlaps between embodiments is omitted. The terms "part, module, element, block" used in the specification may be implemented by software or hardware, and depending on the embodiments, a plurality of "parts, modules, elements, blocks" may be implemented as a single component, or a single "part, module, element, block" may include a plurality of components. Throughout the specification, when a part is said to be "connected" to another part, this includes not only cases where it is directly connected, but also cases where it is indirectly connected, and an indirect connection includes a connection via a wireless communication network.

[0036] Additionally, when a part is said to "include" a component, this does not mean that it excludes other components, but rather that it may include other components, unless otherwise specifically stated.

[0037] Throughout the specification, when we say that an element is "on" another element, this includes not only cases where the element is in contact with the other element, but also cases where another element exists between the two elements.

[0038] The terms first, second, etc. are used to distinguish one component from another, and the components are not limited by the aforementioned terms.

[0039] Singular expressions include plural expressions unless the context clearly indicates otherwise.

[0040] The identification codes for each step are used for convenience of explanation and do not describe the order of each step. Each step may be performed in a different order than specified unless the context clearly indicates a specific order.

[0041] The operating principle and embodiments of the present disclosure are described below with reference to the attached drawings.

[0042] As used herein, the term "device according to the present disclosure" encompasses a variety of devices capable of performing computational processing and providing results to a user. For example, the device according to the present disclosure may include a computer, a server device, and a portable terminal, or may be any one of them.

[0043] Here, the computer may include, for example, a notebook, desktop, laptop, tablet PC, slate PC, etc. equipped with a web browser.

[0044] The above server device is a server that processes information by communicating with an external device, and may include an application server, a computing server, a database server, a file server, a game server, a mail server, a proxy server, and a web server.

[0045] The above portable terminal may include, for example, a wireless communication device that ensures portability and mobility, and may include all kinds of handheld-based wireless communication devices such as a PCS (Personal Communication System), GSM (Global System for Mobile communications), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication)-2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (W-Code Division Multiple Access), WiBro (Wireless Broadband Internet) terminal, a smart phone, and a wearable device such as a watch, ring, bracelet, anklet, necklace, glasses, contact lens, or head-mounted-device (HMD).

[0046] Hereinafter, embodiments of the present disclosure will be described in detail with reference to the attached drawings.

[0047] FIG. 1 is a block diagram of an artificial lens determination server of the present disclosure, FIG. 2 is a block diagram of a corneal shape measurement device of the present disclosure, and FIG. 3 is a block diagram of an artificial lens determination device of the present disclosure.

[0048] Hereinafter, a description will be made with reference to FIG. 4, which shows an example of a corneal shape measuring device of the present disclosure, and FIGS. 5 to 7, which are exemplary drawings for explaining an artificial lens determination method of the present disclosure.

[0049] Referring to Figure 1, the artificial lens determination server (10) may include a corneal shape measurement device (100) and an artificial lens determination device (200).

[0050] A corneal shape measurement device (100) may be configured to acquire user's eye image information and determine the corneal shape based on the information. The eye image information may include at least one of a placido ring shape, a tear film image, a tear film band height, tear stability of the entire cornea, gaze information, a corneal region-specific slope, and a corneal region-specific illuminance. The placido ring shape may refer to an eye image reflecting the placido ring shape. The above-described eye image information may include not only an image, but also other forms of information (such as numerical values ​​and descriptions) measured in relation to the eye. The gaze information refers to information on what the user (e.g., a patient) is gazing at, and may include positional information reflecting the movement of the eye's vertex. The placido ring-shaped light source of the present disclosure may be infrared-based. Accordingly, the corneal shape measurement device (100) may acquire gaze information without causing glare to the user due to the infrared-based placido ring-shaped light source irradiation.

[0051] Referring to FIG. 2, the corneal shape measurement device (100) includes a main body (110), an eye measurement sensor (120), a processor (130), a memory (140), and a communication unit (150). The components illustrated in FIG. 2 are not essential for implementing the corneal shape measurement device (100) according to the present disclosure, and thus the corneal shape measurement device (100) described in this specification may have more or fewer components than the components listed above.

[0052] Referring to FIG. 4, the main body (110) may include a front frame (111) and a side frame (113). The front frame (111) may be implemented at a position facing the eyeball when the user wears the main body (110). The front frame (111) may be formed by a pair of shapes selected from various shapes such as circles, ovals, and squares, and the pair of shapes may be formed in a form in which the pair of shapes are connected sideways. For example, the front frame (111) may be the front part of glasses including lenses. The side frames (113) may be formed by a pair and connected to each of both sides of the front frame (111). Although not illustrated, a battery unit (not illustrated) may be mounted or inserted into one of the pair of side frames (113), but is not limited thereto. For example, the side frame (113) may be a temple of glasses, i.e., a temple part of glasses. As shown in Fig. 4, the front frame (111) and the side frame (113) are connected to form a shape of glasses, so that the user can easily wear them. The circuit unit (115) is coupled to the front frame (111) and may be formed along the shape of the front frame (111), but is not limited thereto. In addition, the circuit unit (115) may be electrically connected to the eye measurement sensor (120), the processor (130), the memory (140), the communication unit (150), and the battery unit (not shown). Accordingly, when power is supplied to the battery unit (not shown), the circuit unit (115) may supply the power supplied from the battery unit (not shown) to each electrically connected component. The circuit unit (115) may transmit information detected by the eye measurement sensor (120) to the processor (130). The eye measurement sensor (120) is located at the center of the front frame (111) and can detect information required from the user's eye.

[0053] The eye measurement sensor (120) may be configured to obtain eye image information by being positioned adjacent to the user's eye in the main body (110). The eye measurement sensor (120) may measure various types of information, such as image capture, light source irradiation, light source detection, tilt measurement, and illuminance measurement.

[0054] Referring to FIG. 4, the eye measurement sensor (120) is mounted on the main body (110), and can be implemented to detect both the direction toward the user and the direction opposite to the user (the direction in which the user is looking) based on the front frame (111). That is, the eye measurement sensor (120) obtains information from the user's eyes, but is not limited thereto, and can also obtain information from the area in the direction in which the user is looking.

[0055] The above-described eye measurement sensor (120) may include at least one of an image capturing device, a light source irradiation device including an infrared output unit for irradiating a light source including a placido ring-shaped measurement light, a light source detection device including an infrared detection unit, a tilt sensor, and an illuminance sensor. The light source irradiation device and the light source detection device may be implemented separately or combined into one configuration.

[0056] At this time, the light source irradiation device for irradiating a light source including a measuring light in the shape of a placido ring is not limited to a contact / non-contact corneal topography measurement function, and can additionally implement a corneal curvature measurement (Keratometry) function and a pupil size measurement (pupillometry) function.

[0057] The light source of the disclosed embodiment, shaped like a placido ring, may be infrared-based. Accordingly, the eye measurement sensor (120) may include an infrared output unit for outputting a light source shaped like a placido ring and an infrared detection unit for detecting infrared. In this case, the infrared output unit may be alternatively referred to as a light source irradiation device, and the infrared detection unit may be alternatively referred to as a light source detection device.

[0058] Referring to FIG. 7, when a light source irradiation device including the above-described infrared output unit and a light source detection device including the infrared detection unit are implemented in a glass such as the main body (110), the light source irradiation device and the light source detection device may be implemented at a position corresponding to the blind spot of the optic nerve in the main body (110). Specifically, the light source irradiation device and the light source detection device may be installed at a position corresponding to the blind spot of the optic nerve among the lenses mounted on the front frame (111) of the main body (110), at a position of the blind spot of the optic nerve about 15-18 degrees toward the nose from the center of the eye.

[0059] The position corresponding to the blind spot of the optic nerve among the lenses described above may refer to a position corresponding to the blind spot of the optic nerve, and may refer to a position where the user's field of vision is not obstructed even if a light source irradiation device and a light source detection device are installed in the main body (110). For example, the position of the blind spot of the optic nerve may be implemented by projecting it onto the lens of the main body (110), but the implementation method is not limited thereto.

[0060] The processor (130) may be configured to determine the shape of the cornea.

[0061] The processor (130) can obtain eye image information through the eye measurement sensor (120).

[0062] Specifically, the processor (130) can irradiate the Placido ring shape measurement light for corneal topography examination toward the eye and then acquire eye image information including the Placido ring shape in a time series manner by photographing the eye.

[0063] The corneal topography test described above can be used to measure the shape of the cornea. The cornea is the transparent membrane that covers the front of the eye and functions to refract light and focus it on the retina. If its shape is abnormal, vision may be impaired. Corneal topography can determine the shape of the cornea by measuring its curvature.

[0064] Specifically, the processor (130) can scan the surface of the cornea by irradiating a light source onto the user's eye through the eye measurement sensor (120), and obtain surface information of the scanned cornea. The processor (130) can determine the shape of the cornea by analyzing the curvature of the cornea.

[0065] The corneal topography test described above may include a contact-type corneal topography test that scans the surface of the cornea by bringing the eye measurement sensor (120) into contact with or adjacent to the eyeball, and a non-contact corneal topography test that brings the eye measurement sensor (120) into contact with the eyeball and irradiates a light source to scan the expression of the cornea. Although the main body (110) disclosed in FIG. 4 has the eye measurement sensor (120) positioned so that it can be implemented as a non-contact corneal topography test method, the present invention is not limited thereto, and it is also possible to implement a contact-type corneal topography test by positioning the eye measurement sensor (120) so as to be adjacent to or in contact with the eyeball when the main body (110) is worn.

[0066] The processor (130) can analyze eye image information according to preset criteria to determine the shape of the cornea.

[0067] For example, the processor (130) can analyze eye image information including the shape of a placido ring according to preset criteria to determine the shape of the cornea.

[0068] Referring to FIG. 5, the processor (130) can identify various shapes of the placido ring reflected on the cornea (e.g., a circular shape of the placido ring, a distorted shape, etc.) from eye image information including the shape of the placido ring, and analyze the corneal curvature, corneal thickness, and other numerical values ​​according to preset criteria to determine the shape of the cornea. The preset criteria may include, but are not limited to, criteria for distinguishing the corneal shape according to the shape of the placido ring.

[0069] As another example, referring to FIG. 6, the eye image information may further include a tear film image obtained by photographing the eye after irradiating a light source toward the eye. At this time, the processor (130) may determine the tear film band height and the tear stability of the entire cornea based on the tear film image, and may analyze at least one of the Placido ring shape, the tear film band height, and the tear stability of the entire cornea according to the preset criteria to determine the corneal shape.

[0070] Specifically, when the processor (130) obtains eye image information through the eye measurement sensor (120), the backlight is reflected in a pattern according to the corneal pattern of the refractive surface (tear film-air interface) of the cornea that acts as a convex mirror, and the image reflected on the tear film layer is captured to obtain eye image information.

[0071] The processor (130) can determine the tear break-up time (TBUT) based on eye image information including the Placido ring shape acquired in time series through the eye measurement sensor (120). In addition, the processor (130) can determine dry eye based on the tear break-up time, and in this process, can determine the tear film band height (change in tear film band height) and the tear stability of the entire cornea. At this time, the tear film band height and the tear stability of the entire cornea can be utilized as eye image information when determining an artificial lens thereafter.

[0072] As another example, the eye image information may further include the corneal region-specific inclination acquired through a tilt sensor. In this case, the processor (130) can analyze the Placido ring shape and the corneal region-specific inclination according to the preset criteria to determine the corneal shape.

[0073] As another example, the eye image information may further include corneal region-specific illuminance acquired via an illuminance sensor. In this case, the processor (130) can analyze the placido ring shape and the corneal region-specific illuminance according to the preset criteria to determine the corneal shape.

[0074] As another example, the eye image information may further include gaze information. The processor (130) can analyze the shape of the Placido ring and gaze information according to preset criteria to determine the user's gaze state.

[0075] The memory (140) can store a computer program for providing a corneal shape measurement method, and the stored computer program can be read and operated by the processor (130). The memory (140) can store any form of information generated or determined by the processor (130) and any form of information received by the communication unit (150).

[0076] The memory (140) can store data supporting various functions of the corneal shape measurement device (100), a program for the operation of the processor (130), can store input / output data, and can store a plurality of application programs (or applications) run by the corneal shape measurement device (100), data for the operation of the corneal shape measurement device (100), and commands. At least some of these application programs can be downloaded from an external server via wireless communication.

[0077] The memory (140) may include at least one type of storage medium among a flash memory type, a hard disk type, an SSD type, an SDD type, a multimedia card micro type, a card type memory (e.g., SD or XD memory, etc.), a random access memory (RAM), a static random access memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, and an optical disk. In addition, the memory may be a database that is separate from the device but is connected by wire or wirelessly.

[0078] The communication unit (150) may include one or more components that enable communication with an external device, and may include, for example, at least one of a broadcast reception module, a wired communication module, a wireless communication module, a short-range communication module, and a location information module.

[0079] Although not shown, the corneal shape measuring device (100) of the present disclosure may further include an output unit and an input unit.

[0080] The output unit can display a user interface (UI) for providing corneal shape measurement results, etc. The output unit can output any form of information generated or determined by the processor (130) and any form of information received by the communication unit (150).

[0081] The output unit may include at least one of a liquid crystal display (LCD), a thin film transistor-liquid crystal display (TFT LCD), an organic light-emitting diode (OLED), a flexible display, and a three-dimensional display (3D display). Some of these display modules may be configured as transparent or light-transmitting so that the outside can be viewed through them. This may be referred to as a transparent display module, and a representative example of the transparent display module is TOLED (Transparent OLED).

[0082] The input unit can receive information input by a user. The input unit can include keys and / or buttons on a user interface, or physical keys and / or buttons, for receiving information input by a user. A computer program for controlling a display according to embodiments of the present disclosure can be executed based on user input through the input unit.

[0083] The artificial lens determination device (200) may be configured to determine an artificial lens for the user's eye based on at least one of eye image information and corneal shape. To this end, the artificial lens determination device (200) may be connected to a corneal shape measurement device (100) to receive eye image information and corneal shape.

[0084] Meanwhile, in the present disclosure, it is described that the corneal shape measuring device (100) and the artificial lens determination device (200) are implemented separately, but this is not limited to this, and it may also be possible to implement them as a single configuration depending on the needs of the operator.

[0085] Referring to FIG. 3, the artificial lens determination device (200) includes a processor (210), a memory (240), and a communication unit (250). At this time, the processor (210) can control the operation of each component including the information acquisition unit (220) and the artificial lens determination unit (230). The components illustrated in FIG. 3 are not essential for implementing the artificial lens determination device (200) according to the present disclosure, and thus the artificial lens determination device (200) described in this specification may have more or fewer components than the components listed above.

[0086] The processor (210) can collect eye image information and the corneal shape through the information acquisition unit (200).

[0087] The above ocular image information may include at least one of a placido ring shape, a tear film image, a band height of a tear film, tear stability of the entire cornea, gaze information, a corneal region-specific slope, and a corneal region-specific illuminance.

[0088] The processor (210) can determine an artificial lens by using at least one of eye image information and corneal shape through the artificial lens determination unit (230).

[0089] The processor (210) determines one of a plurality of artificial lenses for the user's eye by using at least one of the eye image information and the corneal shape through the artificial lens determination unit (230), and can determine the type and degree of the artificial lens by considering at least one of the eye image information and the corneal shape.

[0090] For example, intraocular lenses may include, but are not limited to, types including monofocal intraocular lenses, multifocal intraocular lenses, continuous focus intraocular lenses, aspheric intraocular lenses, and toric intraocular lenses.

[0091] Specifically, the processor (210) can analyze at least one of the placido ring shape, tear film image, tear film band height, tear stability of the entire cornea, gaze information, corneal region-specific slope, corneal region-specific illuminance, and corneal shape through the artificial lens determination unit (230) according to preset criteria to determine an artificial lens corresponding to the user's eye.

[0092] The memory (240) can store a computer program for providing an artificial lens determination method, and the stored computer program can be read and operated by the processor (210). The memory (240) can store any form of information generated or determined by the processor (210) and any form of information received by the communication unit (250).

[0093] The memory (240) can store data supporting various functions of the artificial lens determination device (200), a program for the operation of the processor (210), can store input / output data, and can store a plurality of application programs (or applications) run by the artificial lens determination device (200), data for the operation of the artificial lens determination device (200), and commands. At least some of these application programs can be downloaded from an external server via wireless communication.

[0094] The memory (240) may include at least one type of storage medium among a flash memory type, a hard disk type, an SSD type, an SDD type, a multimedia card micro type, a card type memory (e.g., SD or XD memory, etc.), a random access memory (RAM), a static random access memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, and an optical disk. In addition, the memory may be a database that is separate from the device but is connected by wire or wirelessly.

[0095] The communication unit (250) may include one or more components that enable communication with an external device, and may include, for example, at least one of a broadcast reception module, a wired communication module, a wireless communication module, a short-range communication module, and a location information module.

[0096] Although not shown, the artificial lens determination device (200) of the present disclosure may further include an output unit and an input unit.

[0097] The output unit can display a user interface (UI) for providing artificial lens determination results, etc. The output unit can output any form of information generated or determined by the processor (210) and any form of information received by the communication unit (250).

[0098] The output unit may include at least one of a liquid crystal display (LCD), a thin film transistor-liquid crystal display (TFT LCD), an organic light-emitting diode (OLED), a flexible display, and a three-dimensional display (3D display). Some of these display modules may be configured as transparent or light-transmitting so that the outside can be viewed through them. This may be referred to as a transparent display module, and a representative example of the transparent display module is TOLED (Transparent OLED).

[0099] The input unit can receive information input by a user. The input unit can include keys and / or buttons on a user interface, or physical keys and / or buttons, for receiving information input by a user. A computer program for controlling a display according to embodiments of the present disclosure can be executed based on user input through the input unit.

[0100] Figure 8 is a flowchart for explaining the artificial lens determination method of the present disclosure.

[0101] The artificial lens determination method disclosed below can be implemented through an artificial lens determination server (10) including a corneal formation measurement device (100) and an artificial lens determination device (200).

[0102] In addition, the artificial lens determination method described below can implement all of the roles of the artificial lens determination device (10) described through the above-described FIGS. 1 to 7, and for the convenience of explanation, redundant descriptions will be omitted.

[0103] First, the processor (130) of the corneal formation measurement device (100) can obtain eye image information through the eye measurement sensor (120) (1100).

[0104] The above eye measurement sensor (120) may include at least one of an image capturing device, a light source irradiation device for irradiating a light source including a placido ring-shaped measurement light, a light source detection device, a tilt sensor, and an illuminance sensor.

[0105] For example, the processor (130) can acquire eye image information including the shape of the placido ring in a time series manner by irradiating the eye with a measurement light of the shape of the placido ring for corneal topography examination through the eye measurement sensor (120) and then photographing the eye. At this time, the eye measurement sensor (120) can be a light source irradiation device and a light source detection device. At this time, the light source irradiation device and the light source detection device can be implemented separately or as an integrated unit.

[0106] Next, the processor (130) can determine the corneal shape using eye image information (1200).

[0107] For example, the processor (130) can analyze eye image information including the shape of a placido ring according to preset criteria to determine the shape of the cornea.

[0108] As another example, the processor (130) may determine the tear film band height and the tear stability of the entire cornea based on the tear film image, and may analyze at least one of the Placido ring shape, the tear film band height, and the tear stability of the entire cornea according to preset criteria to determine the corneal shape. To this end, the eye image information may further include a tear film image acquired by photographing the eye after irradiating a light source toward the eye.

[0109] Next, the artificial lens determination device (200) can determine one of a plurality of artificial lenses for the user's eye using at least one of eye image information and corneal shape through the processor (210) (1300). At this time, the processor (210) can determine the type and degree of the artificial lens based on one of the eye image information and corneal shape.

[0110] When determining one of a plurality of artificial lenses, the processor (210) may analyze at least one of a placido ring shape, a tear film image, a band height of a tear film, tear stability of the entire cornea, gaze information, corneal region-specific slope, and corneal region-specific illuminance, and a corneal shape according to preset criteria to determine an artificial lens corresponding to the user's eye.

[0111] Meanwhile, the method according to the present disclosure described above can be implemented as a program (or application) and stored in a medium to be executed in combination with a hardware server.

[0112] The disclosed embodiments may be implemented in the form of a recording medium storing computer-executable instructions. The instructions may be stored in the form of program code, and when executed by a processor, may generate program modules to perform the operations of the disclosed embodiments. The recording medium may be implemented as a computer-readable recording medium.

[0113] Computer-readable storage media include all types of storage media that store instructions that can be deciphered by a computer. Examples include read-only memory (ROM), random access memory (RAM), magnetic tape, magnetic disks, flash memory, and optical data storage devices.

[0114] The disclosed embodiments have been described with reference to the attached drawings as described above. Those skilled in the art will understand that the present disclosure can be implemented in forms other than the disclosed embodiments without altering the technical spirit or essential features of the present disclosure. The disclosed embodiments are illustrative and should not be construed as limiting.

Claims

1. Main body; An eye measurement sensor positioned adjacent to the user's eyeball among the above main bodies to obtain eyeball image information; and A processor for determining the shape of the cornea; The above processor, Obtaining the eye image information through the above eye measurement sensor, and A corneal shape measuring device that analyzes the above eye image information according to preset criteria to determine the corneal shape.

2. In paragraph 1, The above eye measurement sensor, A corneal shape measuring device comprising at least one of an image capturing device, a light source irradiation device for irradiating a light source including a measuring light in the shape of a placido ring, a light source detection device, a tilt sensor, and an illuminance sensor.

3. In paragraph 2, The above processor, A corneal shape measuring device that irradiates a placido ring shape measuring light toward the eye for corneal topography examination and then acquires eye image information including the placido ring shape in a time series manner by photographing the eye.

4. In paragraph 3, The above processor, A corneal shape measuring device that analyzes eye image information including the above-described placido ring shape according to the above-described preset criteria to determine the corneal shape.

5. In paragraph 4, The above eye image information further includes the inclination of each corneal region acquired through the inclination sensor, The above processor, A corneal shape measuring device that analyzes the shape of the placido ring and the slope of each corneal area according to the preset criteria to determine the corneal shape.

6. In paragraph 4, The above eye image information further includes the illuminance for each corneal region obtained through the illuminance sensor, The above processor, A corneal shape measuring device that analyzes the shape of the above-mentioned plasido ring and the illumination of each corneal area according to the above-mentioned preset criteria to determine the corneal shape.

7. In paragraph 4, The above eye image information further includes a tear film image obtained by photographing the eye after irradiating a light source toward the eye, The above processor, A corneal shape measuring device that determines the tear film band height and the tear stability of the entire cornea based on the tear film image, and analyzes at least one of the placido ring shape, the tear film band height, and the tear stability of the entire cornea according to the preset criteria to determine the corneal shape.

8. A corneal shape measuring device for obtaining the user's eye image information and determining the corneal shape based on the information; and An artificial lens determination device for determining an artificial lens for the user's eye based on at least one of the above eye image information and the corneal shape, The above artificial lens crystal device, An information acquisition unit that collects the above eye image information and the corneal shape; A processor for controlling the operation of an artificial lens determination unit that determines an artificial lens by using at least one of the above eye image information and the corneal shape; The above processor, An artificial lens determination server that determines one of a plurality of artificial lenses for the eye of the user by using at least one of the eye image information and the corneal shape, and determines the type and degree of the artificial lens by considering at least one of the eye image information and the corneal shape.

9. In paragraph 8, An artificial lens determination server, wherein the above eye image information includes at least one of a placido ring shape, a tear film image, a band height of a tear film, tear stability of the entire cornea, fixation information, corneal region-specific slope, and corneal region-specific illuminance.

10. In a method performed by an artificial lens determination server, A step in which the artificial lens decision server acquires eye image information through an eye measurement sensor; A step of identifying the corneal shape using the above eye image information; and A method for determining an artificial lens, comprising: a step of determining one of a plurality of artificial lenses for a user's eye using at least one of the eye image information and the corneal shape, wherein the type and degree of the artificial lens are determined based on one of the eye image information and the corneal shape.

11. In paragraph 10, The above eye measurement sensor, A method for determining an artificial lens, comprising at least one of an image capturing device, a light source irradiation device for irradiating a light source including a measuring light in the shape of a placido ring, a light source detection device, a tilt sensor, and an illuminance sensor.

12. In paragraph 11, In the step of acquiring the above eye image information, A method for determining an artificial lens, comprising: irradiating a placido ring shape measuring light for corneal topography toward the eye, and then acquiring eye image information including a placido ring shape in a time series manner by photographing the eye.

13. In paragraph 12, In the step of determining the corneal shape, A method for determining an artificial lens, wherein the corneal shape is determined by analyzing eye image information including the above-described placido ring shape according to the above-described preset criteria.

14. In paragraph 13, The above eye image information further includes a tear film image obtained by photographing the eye after irradiating a light source toward the eye, In the step of determining the corneal shape, A method for determining an artificial lens, wherein the tear film band height and the tear stability of the entire cornea are determined based on the tear film image, and at least one of the placido ring shape, the tear film band height, and the tear stability of the entire cornea is analyzed according to the preset criteria to determine the corneal shape.

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