Eyesight analysis system, cloud terminal, and eyesight analysis method
Patent Information
- Application Number
- JP2023134421
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2023-08-22
- Publication Date
- 2025-03-07
- Estimated Expiration
- 2043-08-22
AI Technical Summary
【0009】 これらの態様によれば、電子機器の低コスト化を図ることができる。
Smart Images

Figure 2025029668000001_ABST
Abstract
Description
[Technical field]
[0001] The present invention relates to a visual acuity analysis system, a cloud terminal, and a visual acuity analysis method. [Background technology]
[0002] Patent document 1 discloses glasses to prevent vision decline as an electronic device that includes a detection sensor that detects parameters related to vision, and a vibrator that determines the risk of vision decline based on the detection results and issues an alert if the risk of vision decline is determined to be high. [Prior art documents] [Patent documents]
[0003] [Patent Document 1] Patent Publication No. 2021-110925 Summary of the Invention [Problem to be solved by the invention]
[0004] The glasses for preventing vision decline described in Patent Document 1 are configured to be capable of communicating with a smart terminal or the like, and therefore can transmit each parameter and the processing results of each parameter to the smart terminal or the like. However, the glasses for preventing vision decline need to include a storage unit for temporarily storing each parameter, and a processing unit for processing each parameter. In addition, the processing unit needs to have a certain level of specifications in order to generate the processing results required for the smart terminal, and therefore it is not possible to sufficiently reduce the cost of the processing unit.
[0005] The present invention has been made in response to this problem, and aims to provide a visual acuity analysis system, a cloud terminal, and a visual acuity analysis method that can reduce the cost of electronic devices. [Means for solving the problem]
[0006] According to one aspect of the present invention, there is provided a vision analysis system comprising an electronic device, an operation terminal, and a cloud terminal capable of wireless communication with both the electronic device and the operation terminal, wherein the electronic device detects parameters related to vision and transmits the detected parameters or parameter-related information based on the parameters to the cloud terminal, the operation terminal transmits a request command to the cloud terminal via user operation, and the cloud terminal stores the parameters or parameter-related information transmitted from the electronic device and transmits the stored parameters or parameter-related information to the operation terminal based on the request command transmitted from the operation terminal, or transmits processing results related to vision obtained by analyzing and processing the parameters or parameter-related information to the operation terminal.
[0007] According to another aspect of the present invention, there is provided a cloud terminal for use in a visual acuity analysis system, the visual acuity analysis system comprising an electronic device, an operation terminal, and a cloud terminal capable of wireless communication with both the electronic device and the operation terminal, the cloud terminal comprising a memory unit for storing parameters or parameter-related information transmitted from the electronic device, and a processing and communication unit for transmitting the stored parameters or parameter-related information to the operation terminal based on a request command transmitted from the operation terminal, or transmitting to the operation terminal an analysis processing result regarding visual acuity obtained by analyzing and processing the parameters or parameter-related information.
[0008] According to another aspect of the present invention, there is provided a visual acuity analysis method including: an electronic device detecting parameters related to visual acuity and transmitting the detected parameters or parameter-related information based on the parameters to a cloud terminal; an operation terminal transmitting a request command to the cloud terminal through a user's operation; and the cloud terminal storing the parameters or parameter-related information transmitted from the electronic device and transmitting the stored parameters or parameter-related information to the operation terminal based on the request command transmitted from the operation terminal, or transmitting a processing result related to visual acuity obtained by analyzing and processing the parameters or parameter-related information to the operation terminal. Effect of the Invention
[0009] According to these aspects, it is possible to reduce the cost of electronic devices. [Brief description of the drawings]
[0010] [Figure 1] FIG. 1 is a schematic diagram illustrating a visual acuity analysis system according to the present embodiment. [Diagram 2] FIG. 2 is a schematic perspective view showing electronic devices constituting the visual acuity analysis system. [Diagram 3] FIG. 3 is a block diagram showing the configuration of the electronic device. [Figure 4] FIG. 4 is a block diagram showing a cloud terminal constituting the visual acuity analysis system. [Diagram 5] FIG. 5 is a block diagram showing the configuration of an operation terminal constituting the visual acuity analysis system. [Figure 6A] FIG. 6A is a schematic plan view showing a first interface of an operation terminal constituting the visual acuity analysis system. [Figure 6B] FIG. 6B is a schematic plan view showing a second interface of the operation terminal. [Figure 6C] FIG. 6C is a schematic plan view showing a third interface of the operation terminal. [Figure 7]FIG. 7 is a sequence diagram showing each process of the visual acuity analysis method according to this embodiment. [Figure 8] FIG. 8 is a sequence diagram showing each process of the visual acuity analyzing method according to the modified example. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
[0011] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, an embodiment of the present invention (hereinafter, simply referred to as an embodiment) will be described with reference to the accompanying drawings. In this specification, the same elements are designated by the same reference numerals throughout.
[0012] First, the configuration of a visual acuity analysis system 100 according to this embodiment will be described with reference to FIGS.
[0013] FIG. 1 is a schematic explanatory diagram showing a visual acuity analysis system 100 according to this embodiment. FIG. 2 is a schematic perspective view showing an electronic device 1 constituting the visual acuity analysis system 100. FIG. 3 is a block diagram showing the electronic device 1. FIG. 4 is a block diagram showing a cloud terminal 3 constituting the visual acuity analysis system 100. FIG. 5 is a block diagram showing a smart terminal 2. FIG. 6A is a schematic explanatory diagram showing a first interface 211 of the smart terminal 2 constituting the visual acuity analysis system 100. FIG. 6B is a schematic plan view showing a second interface 212 of the smart terminal 2. FIG. 6C is a schematic plan view showing a third interface 213 of the smart terminal 2.
[0014] As shown in FIG. 1, a visual acuity analysis system 100 according to this embodiment includes an electronic device 1, a smart terminal 2 as an operation terminal, and a cloud terminal 3 capable of wireless communication with both the electronic device 1 and the smart terminal 2.
[0015] (electronic equipment) As shown in FIG. 2, in this embodiment, the electronic device 1 is composed of an eyeglass sensor attached to eyeglasses via a clip, but is not limited to this and may be composed of, for example, eyeglasses to prevent vision loss that are carried on the human body.
[0016] 3, the electronic device 1 detects a parameter related to visual acuity (hereinafter, simply referred to as a parameter) and transmits the detected parameter to the cloud terminal 3, and has a detection unit 11, a first controller 12 as a controller, and a vibrator 13 as a notification unit. The detection unit 11 and the vibrator 13 are electrically connected to the first controller 12.
[0017] The detection unit 11 detects parameters. In this embodiment, the detection unit 11 is composed of a distance detection sensor (not shown), a light detection sensor (not shown), and a nine-axis sensor (not shown), but is not limited thereto, and may be composed of only some of the three sensors, for example.
[0018] 3, the first controller 12 controls each process of the electronic device 1. In this embodiment, the first controller 12 is configured with a CPU as a computer, but is not limited thereto, and may be configured with, for example, a plurality of microcomputers.
[0019] Specifically, as shown in FIG. 3, the first controller 12 has a first memory unit 121 as a memory unit, a first processing unit 122 as a processing unit, and a first communication unit 123 as a communication unit, which are electrically connected to each other.
[0020] The first storage unit 121 temporarily stores the parameters detected by the detection unit 11. The first storage unit 121 is also a memory that stores each threshold value for determining whether or not there is a high risk of vision deterioration. The first storage unit 121 also stores a processing program or algorithm executed by the first processing unit 122. In this embodiment, the first storage unit 121 is built into the first controller 12, but is not limited to this, and may be provided separately from the first controller 12, for example.
[0021] The first processing unit 122 determines whether or not the user of the electronic device (such as a child) is at high risk of vision decline based on the viewing distance detected by the distance detection sensor, the light intensity detected by the light detection sensor, and the rotation angle detected by the nine-axis sensor, and generates an alarm command for vibrating the vibrator 13 if it determines that the user is at high risk of vision decline, and outputs the generated alarm command to the vibrator 13.
[0022] The first communication unit 123 is configured to be capable of long-distance wireless communication with the cloud terminal 3. The first communication unit 123 enables the electronic device 1 to transmit and receive data to and from the cloud terminal 3. In this embodiment, the first communication unit 123 is configured to be capable of short-distance wireless communication with the smart terminal 2. The first communication unit 123 enables the electronic device 1 to transmit and receive data to and from the smart terminal 2 only when the electronic device 1 is brought close to the smart terminal 2.
[0023] The vibrator 13 issues a warning to the user of the electronic device by vibrating based on the warning command output from the first processing unit 122. Then, upon receiving the warning, the user of the electronic device realizes that there is a high risk of vision loss, and corrects his / her posture, improves the environment (by brightening the room), or takes a break.
[0024] In this embodiment, the alarm unit is composed of a vibrator 13, but is not limited to this and may be composed of, for example, a speaker or a buzzer that sounds based on an alarm command, or may be composed of a combination of the vibrator 13 and a speaker.
[0025] (Cloud terminal) 4, the cloud terminal 3 includes a storage unit 31 and a processing communication unit 32. The storage unit 31 and the processing communication unit 32 are electrically connected to each other.
[0026] The storage unit 31 stores the parameters transmitted from the electronic device 1 permanently or semi-permanently.
[0027] In this embodiment, the processing and communication unit 32 automatically analyzes the parameters transmitted from the electronic device 1, and transmits the parameters or the analysis processing results to the smart terminal 2 based on a request command transmitted from the smart terminal 2. Specifically, the processing and communication unit 32 has a cloud processing unit 321 and a cloud communication unit 322.
[0028] The cloud processing unit 321 acquires an analysis processing result by automatically analyzing the parameters transmitted from the electronic device 1, and outputs the acquired analysis processing result to the storage unit 31. The storage unit 31 then permanently or semi-permanently stores the output analysis processing result. Here, the analysis processing result includes, for example, multiple types of statistical data. In other words, the analysis processing refers to performing a statistical analysis process on each parameter, etc.
[0029] The cloud communication unit 322 is configured to be capable of long-distance wireless communication with both the electronic device 1 and the smart terminal 2. The cloud communication unit 322 enables the cloud terminal 3 to transmit and receive data to and from both the electronic device 1 and the smart terminal 2. In this embodiment, the cloud communication unit 322 transmits parameters or analysis processing results to the smart terminal 2 based on a request command transmitted from the smart terminal 2.
[0030] (Smart device) As shown in FIG. 5, the smart terminal 2 includes a display unit 21, an operation unit 22, and a second controller 23 as a controller, which are electrically connected to each other.
[0031] The display unit 21 displays each interface described below, parameters transmitted from the cloud terminal 3, or analysis processing results, etc. Specifically, the display unit 21 is configured from a liquid crystal display.
[0032] The operation unit 22 is configured to enable a user to operate the smart terminal 2. In this embodiment, the operation unit 22 is configured from a touch panel, but is not limited thereto, and may be configured from, for example, an operation switch or an operation button, or may be configured from a combination of a touch panel and an operation switch or an operation button.
[0033] 5, the second controller 23 controls each process of the smart terminal 2. In the present embodiment, the second controller 23 is configured with a CPU as a computer, but is not limited thereto, and may be configured with, for example, a plurality of microcomputers.
[0034] Specifically, as shown in FIG. 5, the second controller 23 has a second memory unit 231 as a memory unit, a second processing unit 232 as a processing unit, and a second communication unit 233 as a communication unit, which are electrically connected to each other.
[0035] The second storage unit 231 temporarily stores parameters or analysis processing results transmitted from the cloud terminal 3. The second storage unit 231 also stores a processing program or algorithm executed in the second processing unit 232. In this embodiment, the second storage unit 231 is built into the second controller 23, but is not limited to this and may be provided separately from the second controller 23, for example.
[0036] The second processing unit 232 generates a selection command or a request command to the cloud terminal 3 to select one interface from the first interface 211, the second interface 212, and the third interface 213 shown in Figures 6A to 6C based on a user's operation on the operation unit 22.
[0037] Then, when the second processing unit 232 generates the selection command, it outputs the selection command to the display unit 21. Then, based on the selection command output from the second processing unit 232, the display unit 21 selects and displays one interface from among the first interface 211 corresponding to an ophthalmologist or a school nurse as a first type of user, the second interface 212 corresponding to an electronic device user as a second type of user, and the third interface 213 corresponding to a guardian of the electronic device user as a third type of user (hereinafter, also simply referred to as a guardian). Then, as shown in Figs. 6A to 6C, the first interface 211, the second interface 212, and the third interface 213 have different contents of selectable request items displayed therein.
[0038] On the other hand, when the second processing unit 232 generates a request command to the cloud terminal 3, the second processing unit 232 outputs the request command to the second communication unit 233. Then, the second communication unit 233 transmits the request command output from the second processing unit 232 to the cloud terminal 3 (specifically, to the cloud communication unit 322 of the cloud terminal 3).
[0039] The second communication unit 233 is configured to be capable of long-distance wireless communication with the cloud terminal 3. The smart terminal 2 is then able to transmit and receive data to and from the cloud terminal 3 via the second communication unit 233. In this embodiment, the second communication unit 233 is also configured to be capable of short-distance wireless communication with the electronic device 1. The smart terminal 2 is then able to transmit and receive data to and from the electronic device 1 via the second communication unit 233 only when the smart terminal 2 is brought close to the electronic device 1.
[0040] (Visual acuity analysis method) Next, each process of the visual acuity analysis method according to this embodiment will be described with reference to FIG.
[0041] FIG. 7 is a sequence diagram showing each process of the visual acuity analysis method according to this embodiment.
[0042] As shown in FIG. 7, first, in step S11, the electronic device 1 detects each parameter, transmits the detected parameters to the cloud terminal 3, and then proceeds to step S12.
[0043] Specifically, in step S11, when the power is turned on, the detection unit 11 of the electronic device 1 detects each parameter in real time and transmits each detected parameter to the cloud communication unit 322 of the cloud terminal 3 via the first communication unit 123.
[0044] Next, in step S12, the cloud terminal 3 stores each parameter transmitted from the electronic device 1, and proceeds to step S13.
[0045] Specifically, in step S12, the cloud communication unit 322 of the cloud terminal 3 receives each parameter transmitted from the electronic device 1. Then, the cloud communication unit 322 outputs each received parameter to both the storage unit 31 and the cloud processing unit 321. Then, the storage unit 31 permanently or semi-permanently stores the parameters output from the cloud communication unit 322.
[0046] In this way, since the storage unit 31 of the cloud terminal 3 permanently or semi-permanently stores the parameters output from the cloud communication unit 322, the first storage unit 121 of the electronic device 1 does not need to store each parameter permanently or semi-permanently, or it is sufficient to store some of the parameters permanently or semi-permanently, that is, the storage unit 31 bears all or part of the storage function of the first storage unit 121, and the capacity of the first storage unit 121 can be suppressed to be small. As a result, the cost of the electronic device 1 can be reduced.
[0047] Next, in step S13, the cloud processing unit 321 acquires an analysis processing result by automatically analyzing the parameters output from the cloud communication unit 322, and outputs the acquired analysis processing result to the storage unit 31. Then, the storage unit 31 permanently or semi-permanently stores the analysis processing result output from the cloud processing unit 321, and proceeds to step S14.
[0048] In this way, the cloud processing unit 321 of the cloud terminal 3 acquires the analysis processing result by automatically analyzing the parameters output from the cloud communication unit 322, so there is no need for the analysis processing to be performed by the first processing unit 122 of the electronic device 1, or it is sufficient for part of the analysis processing to be performed by the first processing unit 122. In other words, the cloud processing unit 321 of the cloud terminal 3 takes on all or part of the analysis processing function of the first processing unit 122 of the electronic device 1, thereby reducing the processing load of the first processing unit 122. As a result, the specifications of the first processing unit 122 can be kept low, and the cost of the electronic device 1 can be reduced.
[0049] Next, in step S14, the smart terminal 2 transmits a request command to the cloud terminal 3 in response to a user operation, and the process proceeds to step S15.
[0050] Specifically, in step S14, the second processing unit 232 of the smart terminal 2 generates a selection command based on an operation on the operation unit 22 by the user, and outputs the selection command to the display unit 21. Then, based on the selection command output from the second processing unit 232, the display unit 21 selects and displays one interface from the first interface 211 corresponding to an ophthalmologist or a school health nurse, the second interface 212 corresponding to an electronic device user, and the third interface 213 corresponding to a guardian.
[0051] As a result, not only can an electronic device user request the cloud terminal 3 for information about the usage status of the electronic device 1 that he or she is using using the second interface 212 corresponding to the electronic device user, but a guardian can request the cloud terminal 3 for a prediction of the risk of vision decline of an electronic device user who is using the electronic device 1 using the third interface 213 corresponding to the electronic device user, and a doctor can request statistical data (or comparative data) of multiple electronic device users who are using the electronic device 1 using the first interface 211 corresponding to the electronic device user.
[0052] That is, each type of user can use an interface corresponding to the user to request the data or predictions he or she needs from the cloud terminal 3. As a result, the usage of each parameter detected by the electronic device 1 can be expanded, and the risk of eyesight deterioration of the electronic device user can be effectively reduced.
[0053] Next, second processing unit 232 generates a request command to cloud terminal 3 based on a user's operation of selecting a request item from the selected interface, and outputs the generated request command to second communication unit 233. Then, second communication unit 233 transmits the request command output from second processing unit 232 to cloud terminal 3 (specifically, cloud communication unit 322 of cloud terminal 3).
[0054] Next, in step S15, the cloud terminal 3 transmits the parameters or the analysis processing results to the smart terminal 2 based on the request command transmitted from the smart terminal 2, and proceeds to step S16.
[0055] Specifically, in step S15, the cloud communication unit 322 of the cloud terminal 3 receives the request command transmitted from the smart terminal 2. Then, the cloud communication unit 322 outputs the received request command to the cloud processing unit 321. Then, based on the request command output from the cloud communication unit 322, the cloud processing unit 321 generates a transmission command for transmitting parameters or analysis processing results corresponding to the request command to the smart terminal 2, and outputs the generated transmission command to the cloud communication unit 322. Then, based on the transmission command output from the cloud processing unit 321, the cloud communication unit 322 transmits the parameters or analysis processing results stored in the storage unit 31 to the smart terminal 2.
[0056] In this way, the smart terminal 2 sends a request command to the cloud terminal 3 rather than to the electronic device 1 in response to user operation, and the cloud terminal 3 sends the stored parameters or analysis processing results to the smart terminal 2 based on the request command sent from the smart terminal 2. Therefore, the smart terminal 2 does not receive the parameters or analysis processing results directly from the electronic device 1 via wireless communication, thereby making it possible to reduce the cost of the electronic device 1.
[0057] Next, in step S16, the smart terminal 2 displays the parameters or the analysis processing results transmitted from the cloud terminal 3, and ends the processing.
[0058] Specifically, in step S16, the second communication unit 233 of the smart terminal 2 receives the parameters or the analysis processing result transmitted from the cloud terminal 3. Then, the second communication unit 233 outputs the received parameters or the analysis processing result to both the second storage unit 231 and the second processing unit 232. Then, the second processing unit 232 generates a display command for displaying the parameters or the analysis processing result on the display unit 21 based on the parameters or the analysis processing result output from the second communication unit 233, and outputs the generated display command to the display unit 21. Then, the display unit 21 displays the parameters or the analysis processing result temporarily stored in the second storage unit 231 based on the display command output from the second processing unit 232.
[0059] In this embodiment, the electronic device 1 transmits each detected parameter to the cloud terminal 3, but this is not limited to this. For example, in addition to each detected parameter, the electronic device 1 may transmit the processing results as parameter-related information based on the parameters (specifically, the judgment result regarding the level of risk of vision decline) obtained by the first processing unit 122 processing each parameter to the cloud terminal 3.
[0060] In this case, the storage unit 31 of the cloud terminal 3 permanently or semi-permanently stores both the parameters and the processing results transmitted from the electronic device 1. The second processing unit 232 of the cloud terminal 3 automatically analyzes and processes the parameters or the processing results, thereby acquiring the analysis processing results.
[0061] (Modified Vision Analysis Method) Next, each process of the visual acuity analysis method according to the modified example will be described with reference to Fig. 8. Note that in the modified example, the description of the points that are the same as those in the above-mentioned embodiment will be omitted, and only the points that are different from those in the above-mentioned embodiment will be described.
[0062] FIG. 8 is a sequence diagram showing each process of the visual acuity analyzing method according to the modified example.
[0063] In the above-described embodiment, the visual acuity analysis method includes steps S11 to S16 that are executed in sequence, whereas in this modified example, the visual acuity analysis method includes steps S21 to S26 that are executed in sequence, as shown in Fig. 8. Here, steps S21, S22, S23, S25, and S26 in the visual acuity analysis method of this modified example are similar to steps S11, S12, S24, S15, and S16 in the visual acuity analysis method of the above-described embodiment, respectively, and therefore description thereof will be omitted.
[0064] As shown in FIG. 8, in this modified example, in step S24, the cloud processing unit 321 of the cloud terminal 3 acquires the analysis processing result by analyzing the parameters or the processing result based on the request command transmitted from the smart terminal 2, and proceeds to step S25.
[0065] In this way, the cloud processing unit 321 of the cloud terminal 3 analyzes the parameters or processing results based on the request command transmitted from the smart terminal 2, that is, the request command transmitted from the smart terminal 2 is used as a trigger to analyze the parameters or processing results, so that the analysis processing results required in the future are not prepared in advance by the cloud terminal 3, but the analysis processing results are obtained only when they are required, thereby reducing the processing load of the cloud processing unit 321 of the cloud terminal 3. As a result, the cloud terminal 3 can be streamlined.
[0066] (Action and effect) Next, the effects of the embodiment and the modified example will be described.
[0067] The visual acuity analysis system 100 according to the above-described embodiment includes an electronic device 1, a smart terminal 2, and a cloud terminal 3 capable of wireless communication with both the electronic device 1 and the smart terminal 2. The electronic device 1 detects parameters related to visual acuity and transmits the detected parameters or processing results to the cloud terminal 3. The smart terminal 2 transmits a request command to the cloud terminal 3 in response to a user's operation. The cloud terminal 3 stores the parameters or processing results transmitted from the electronic device 1, and transmits the stored parameters or processing results to the smart terminal 2 based on the request command transmitted from the smart terminal 2.
[0068] The cloud terminal 3 according to the above-described embodiment is a cloud terminal 3 used in the vision analysis system 100, which includes an electronic device 1, a smart terminal 2, and a cloud terminal 3 capable of wireless communication with both the electronic device 1 and the smart terminal 2. The cloud terminal 3 includes a memory unit 31 that stores parameters or processing results transmitted from the electronic device 1, and a processing and communication unit 32 that transmits to the smart terminal 2 analysis processing results relating to vision obtained by analyzing and processing the parameters or processing results based on a request command transmitted from the smart terminal 2.
[0069] The visual acuity analysis method according to the above-described embodiment includes the electronic device 1 detecting parameters related to visual acuity and transmitting the detected parameters or processing results to the cloud terminal 3, the smart terminal 2 transmitting a request command to the cloud terminal 3 via a user's operation, and the cloud terminal 3 storing the parameters or processing results transmitted from the electronic device 1 and transmitting the stored parameters or processing results to the smart terminal 2 based on the request command transmitted from the smart terminal 2.
[0070] According to these configurations, since the storage unit 31 of the cloud terminal 3 permanently or semi-permanently stores the parameters output from the cloud communication unit 322, the first storage unit 121 of the electronic device 1 does not need to store each parameter permanently or semi-permanently, or it is sufficient to store some of the parameters permanently or semi-permanently, that is, the storage unit 31 bears all or part of the storage function of the first storage unit 121, and the capacity of the first storage unit 121 can be suppressed to be small. As a result, the cost of the electronic device 1 can be reduced.
[0071] Furthermore, the smart terminal 2 sends a request command to the cloud terminal 3, not to the electronic device 1, in response to user operation, and the cloud terminal 3 sends the stored parameters or analysis processing results to the smart terminal 2 based on the request command sent from the smart terminal 2. Therefore, the smart terminal 2 does not receive the parameters or analysis processing results directly from the electronic device 1 via wireless communication, thereby making it possible to reduce the cost of the electronic device 1.
[0072] In addition, in the above-described embodiment, the cloud terminal 3 has a storage unit 31 that stores parameters or processing results transmitted from the electronic device 1, and a processing and communication unit 32 that automatically analyzes and processes the parameters or processing results, and transmits the analysis processing results to the smart terminal 2 based on a request command transmitted from the smart terminal 2.
[0073] In addition, in the above-described embodiment, the electronic device 1 has a detection unit 11 that detects parameters, a first processing unit 122 that processes the detected parameters to obtain processing results as parameter-related information, and a first communication unit 123 that transmits the processing results obtained from the first processing unit 122 to the cloud terminal 3.
[0074] According to these configurations, the processing communication unit 32 of the cloud terminal 3 acquires the analysis processing results by automatically analyzing the parameters transmitted from the electronic device 1, so that the analysis processing does not need to be performed by the first processing unit 122 of the electronic device 1, or it is sufficient that part of the analysis processing is performed by the first processing unit 122. In other words, the cloud processing unit 321 of the cloud terminal 3 bears all or part of the analysis processing function of the first processing unit 122 of the electronic device 1, thereby reducing the processing load of the first processing unit 122. As a result, the specifications of the first processing unit 122 can be kept low, and the cost of the electronic device 1 can be reduced.
[0075] In the above-mentioned modified example, the cloud terminal 3 has a memory unit 31 that stores parameters or processing results transmitted from the electronic device 1, and a processing and communication unit 32 that analyzes the parameters or processing results based on a request command transmitted from the smart terminal 2 and transmits the analysis processing results to the smart terminal 2.
[0076] According to this configuration, the processing communication unit 32 of the cloud terminal 3 analyzes the parameters or processing results based on the request command transmitted from the smart terminal 2, that is, the request command transmitted from the smart terminal 2 is used as a trigger to analyze the parameters or processing results, so that the analysis processing results required in the future are not prepared in advance by the cloud terminal 3, but are acquired only when they are required, thereby reducing the processing load of the cloud processing unit 321 of the cloud terminal 3. As a result, the cloud terminal 3 can be streamlined.
[0077] In the above-described embodiment, the smart terminal 2 has a plurality of interfaces 211, 212, 213 corresponding to a plurality of types of users, and the plurality of interfaces 211, 212, 213 each display different selectable request items.
[0078] According to this configuration, each type of user can use an interface corresponding to the user to request the data or predictions he or she needs from the cloud terminal 3. As a result, the usage of each parameter detected by the electronic device 1 can be expanded, and the risk of eyesight deterioration of the electronic device user can be effectively reduced.
[0079] Although the present embodiment has been described above, the above embodiment merely illustrates some of the application examples of the present invention, and is not intended to limit the technical scope of the present invention to the specific configurations of the above embodiment. [Explanation of symbols]
[0080] 1 Electronic equipment 2. Smart Devices 3. Cloud terminal 100 Vision Analysis System
Claims
1. A visual acuity analysis system including an electronic device, an operation terminal, and a cloud terminal capable of wireless communication with both the electronic device and the operation terminal, The electronic device detects a parameter related to visual acuity, and transmits the detected parameter or parameter-related information based on the parameter to the cloud terminal; The operation terminal transmits a request command to the cloud terminal in response to a user operation, The cloud terminal stores the parameters or parameter-related information transmitted from the electronic device, and transmits the stored parameters or parameter-related information to the operation terminal based on a request command transmitted from the operation terminal, or transmits a processing result related to visual acuity obtained by analyzing and processing the parameters or parameter-related information to the operation terminal. Vision analysis system.
2. The cloud terminal includes: a storage unit for storing the parameters or parameter-related information transmitted from the electronic device; a processing and communication unit that automatically analyzes the parameters or the parameter-related information and transmits the analysis result to the operation terminal based on a request command transmitted from the operation terminal; The vision analysis system of claim 1 .
3. The cloud terminal includes: a storage unit for storing the parameters or parameter-related information transmitted from the electronic device; a processing and communication unit that analyzes the parameter or the parameter-related information based on a request command transmitted from the operation terminal and transmits a result of the analysis to the operation terminal; The vision analysis system of claim 1 .
4. The electronic device includes: A detection unit for detecting a parameter related to visual acuity; a processing unit that processes the detected parameters to obtain a processing result as the parameter-related information; A communication unit that transmits a processing result acquired from the processing unit to the cloud terminal. The vision analysis system of claim 1 .
5. the operation terminal has a plurality of interfaces corresponding to a plurality of types of users, and different request items are displayed in a selectable manner on each of the plurality of interfaces; The vision analysis system of claim 1 .
6. A cloud terminal for use in a visual acuity analysis system, The visual acuity analysis system includes an electronic device, an operation terminal, and a cloud terminal capable of wireless communication with both the electronic device and the operation terminal, The cloud terminal includes: a storage unit for storing the parameters or parameter-related information transmitted from the electronic device; and a processing and communication unit that transmits the stored parameters or parameter-related information to the operation terminal based on a request command transmitted from the operation terminal, or transmits an analysis processing result regarding visual acuity obtained by analyzing the parameters or the parameter-related information to the operation terminal. Cloud terminal.
7. 1. A method for visual acuity analysis, comprising: The electronic device detects a parameter related to visual acuity, and transmits the detected parameter or parameter-related information based on the parameter to a cloud terminal; An operation terminal transmits a request command to the cloud terminal by a user's operation; The cloud terminal stores the parameters or parameter-related information transmitted from the electronic device, and transmits the stored parameters or parameter-related information to the operation terminal based on a request command transmitted from the operation terminal, or transmits a processing result related to visual acuity obtained by analyzing and processing the parameters or parameter-related information to the operation terminal. Visual acuity analysis method.
Citation Information
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