KR102454276B1 - Lens Case for Managing Pollution Degree - Google Patents

Abstract

The lens case, which can manage the contamination level, detects the turbidity in the saline to determine the contamination level of the lens, and displays the lens replacement time on the lens case to check the contamination level of the lens. can have an effect.

Description

Lens Case for Managing Pollution Degree

The present invention relates to a lens case, and more particularly, to a lens case capable of managing the contamination level by detecting the turbidity in the saline solution to determine the contamination level of the lens and notifying the lens replacement time.

Contact lenses are used by many people for cosmetic purposes in addition to vision correction.

Contact lenses are used to correct the visual acuity of the eyes that have deteriorated due to genetic factors or external environment.

Contact lenses are effective in correcting severe myopia, farsightedness, and astigmatism, which are less effective in correcting eyesight by glasses, and have advantages in daily life more convenient than glasses. can Contact lenses should be cleaned before and after use by various methods before wearing.

The lens case is used to store contact lenses, and proteins, bacteria, fungi, viruses, pathogens and bacteria attached to the stored contact lenses rapidly multiply. They were exposed to eye diseases.

Korean Registered Patent No. 10-1674391

In order to solve such a problem, an object of the present invention is to provide a lens case capable of managing the contamination level by detecting the turbidity in the saline solution to determine the contamination level of the lens to notify the lens replacement time.

A lens case capable of managing the degree of pollution according to the features of the present invention for achieving the above object,

a case body having a lid that forms a constant inner space and closes or opens the inner space;

a battery module seated in the internal space to electrically couple the battery;

a first lens coupling part and a second lens coupling part coupling the lens barrel to the bottom surface; and

A signal value for detecting the turbidity of the saline solution contained in the lens barrel is converted into a digital level value, the converted digital level value is compared with a preset reference level value, and the converted digital level value is the preset reference level value and a control module for generating result information informing whether or not to replace the lens in consideration of the turbidity of the saline solution contained in the lens barrel.

The lens case capable of managing the degree of pollution according to the characteristics of the present invention,

a case body having a lid that forms a constant inner space and closes or opens the inner space;

a battery module seated in the internal space to electrically couple the battery;

a first lens coupling part and a second lens coupling part coupling the lens barrel to the bottom surface; and

A signal value for detecting the turbidity of the saline solution contained in the lens barrel is converted into a digital level value, the converted digital level value is compared with a preset reference level value, and the converted digital level value is the preset reference level value A control module having a controller for generating result information informing whether to replace the lens in consideration of the turbidity of the saline solution contained in the lens barrel, and transmitting the generated result information to a display unit installed inside the lid including,

The control unit is electrically connected to a power switch coupled to one side of the outer circumferential surface of the case body, and when receiving a power-on signal of the power switch, a process of detecting the turbidity of the saline solution in a plug-and-play manner and displaying it on the display unit run

According to the above-described configuration, the present invention has the effect of preventing various eye-related diseases because the degree of contamination of the lens can be checked by displaying the degree of contamination of the lens on the lens case, thereby facilitating lens management.

1 is a view showing the configuration of a lens case capable of managing pollution according to an embodiment of the present invention.
2 is a view showing a coupling state of the lens barrel and the lens coupling unit according to an embodiment of the present invention.
3 is a diagram schematically illustrating an internal configuration of a control module according to an embodiment of the present invention.
4 is a diagram schematically illustrating an internal configuration of a control module according to another embodiment of the present invention.

Throughout the specification, when a part "includes" a certain component, it means that other components may be further included, rather than excluding other components, unless otherwise stated.

The lens canister capable of managing the degree of contamination of the present invention is a lens canister that can determine the replacement time of the contact lens by grasping the degree of foreign substances in the saline solution contained therein.

1 is a view showing the configuration of a lens case capable of managing pollution according to an embodiment of the present invention, FIG. 2 is a view showing a combination of a lens barrel and a lens coupling unit according to an embodiment of the present invention, and FIG. 3 is the present invention It is a diagram briefly showing the internal configuration of the control module according to the embodiment.

The lens case 100 capable of managing the degree of pollution according to an embodiment of the present invention forms a constant internal space, and the battery module 111 for electrically coupling the battery to the internal space, and the lens barrel 101 are combined and a case body 110 comprising a first lens coupling unit 112 , a second lens coupling unit 115 , and a control module 120 .

The case body 110 has a lid that forms a certain internal space and seals or opens the internal space.

The first lens coupling part 112 and the second lens coupling part 115 are formed on the bottom surface of the case body 110 and the lens barrel 101 is coupled thereto.

The control module 120 includes a turbidity detection sensor 119, a control unit 121, a storage unit 122, a display unit 123, a power switch 124, and a Bluetooth of the infrared light emitting unit 119a and the infrared light receiving unit 119b. It includes a communication module 125 and a neural network processing unit 130 .

The power switch 124 is formed on one side of the outer peripheral surface of the case body 110 .

The control unit 121 is electrically connected to the power switch 124 coupled to one side of the outer circumferential surface of the case body 110 , and when receiving the power-on signal of the power switch 124 , detects the turbidity of the saline solution in a plug-and-play manner to execute a process to be displayed on the display unit 123 .

The lens barrel 101 is a tube containing saline and a lens, and forms a coupling rod 102 of a certain length from one side of the lower surface, and protrudes the protrusion 103 on the circumferential surface of the coupling rod 102 .

In the lens barrel 101 of the present invention, the saline solution containing the lens is the test subject.

The first lens coupling part 112 forms a first lens barrel coupling groove 113 in which a part of the lower surface of the lens barrel 101 is seated, and a predetermined depth along the inner surface of the first lens barrel coupling groove 113 . A first concave groove 114 dug out is formed.

When the coupling rod 102 of the lens barrel 101 is coupled to the first lens barrel coupling groove 113 , the protrusion 103 is coupled to the first concave recess 114 by force fitting.

It may be coupled to or separated from the protrusion 103 and the first concave groove 114 by applying a certain strength of force.

The second lens coupling part 115 forms a second lens barrel coupling groove 116 in which a part of the lower surface of the lens barrel 101 is seated, and a predetermined depth along the inner surface of the second lens barrel coupling groove 116 . A second concave groove 117 dug out is formed.

When the coupling rod 102 of the lens barrel 101 is coupled to the second lens barrel coupling groove 116 , the protrusion 103 is coupled to the second concave recess 117 by force fitting.

A turbidity detection sensor 119 of an infrared light emitting unit 119a and an infrared light receiving unit 119b is installed around the first and second lens barrel coupling grooves 113 and 116, and the lens barrel 101 includes the first and second lenses When coupled to the cylinder coupling grooves 113 and 116, it is formed in proximity to the installed lens cylinder 101.

The infrared light emitting unit 119a and the infrared light receiving unit 119b are positioned to face each other from the outside of the lens barrel 101 .

Although the present invention exemplifies the infrared light emitting unit 119a and the infrared light receiving unit 119b as the turbidity detection sensor 119, the present invention is not limited thereto, and a photodiode, a phototransistor, or the like may be applied.

The turbidity detection sensor 119 emits light (infrared) from the infrared light emitting unit 119a toward the infrared light receiving unit 119b, and is emitted from the infrared light emitting unit 119a by foreign substances contained in the saline solution of the lens barrel 101. A part of the emitted light reaches the infrared light receiving unit 119b in a state of being absorbed or scattered.

The infrared light emitting unit 119a generates an infrared signal, passes through the lens barrel 101 and emits the infrared signal toward the infrared light receiving unit 119b.

The infrared light receiving unit 119b generates a signal value of an infrared signal in a state in which a part of the light emitted from the infrared light emitting unit 119a is absorbed or scattered, and transmits the generated signal value to the controller 121 .

The control unit 121 is electrically connected to the infrared light receiving unit 119b and detects the transmittance (turbidity) of the saline solution by measuring the signal value of the infrared signal of the attenuated transmitted or scattered light.

The control unit 121 converts the signal value of the infrared signal received from the infrared light receiving unit 119b into a digital level value, and compares the converted digital level value with a preset reference level value.

When the converted digital level value exceeds a preset reference level value, the controller 121 interworks with the storage unit 122 to take into account the turbidity of the saline solution contained in the lens barrel 101. Result information notifying whether to replace the lens create Result information includes lens replacement required (○) or no lens replacement required (×).

Here, the reference level value is a reference value of the saline contamination level, and it is possible to know the lens replacement time based on this value.

When the reference level is higher than the reference level, the turbidity indicating the degree to which the saline solution is cloudy due to dispersion or absorption of light is higher than a certain level, which means that the lens is contaminated, and it can be determined as the lens replacement time.

Therefore, the lens contamination level can be grasped based on the turbidity.

As shown in Table 1 below, the storage unit 122 stores the saline turbidity level matching the digital level value and whether the lens is replaced.

For example, the reference level value is 3, and when the input digital level value is 3 or more, since the lens is contaminated, a signal to replace the lens may be displayed on the display unit 123 .

The control unit 121 transmits the generated result information to the display unit 123 and controls it to be output. Here, the resulting information is

The display unit 123 is installed inside the lid to display the result information of the saline turbidity level and whether the lens is replaced.

In the lens case 100, when the lens is worn for a long time, a lot of foreign substances are attached to the lens.

When receiving the power-on signal of the power switch 124, the control unit 121 controls the battery module 111 in a plug-and-play manner to the Bluetooth communication module 125, the display unit 123, and the infrared light emitting unit 119a. , power is supplied to the infrared light receiving unit 119b.

The control unit 121 transmits and receives an infrared signal by operating the infrared light emitting unit 119a and the infrared light receiving unit 119b, and converts the signal value of the infrared signal received from the infrared light receiving unit 119b into a digital level value, and the converted digital The level value is compared with a preset reference level value, the lens replacement time is determined in consideration of the contamination level of the saline solution, and result information indicating whether the lens replacement is generated is generated.

The control unit 121 transmits the generated result information to the user terminal through the communication network by the Bluetooth communication module 125 .

The user terminal (not shown) includes a desktop computer, a laptop computer, a tablet PC, a smart phone, a wearable device, and the like, and it is assumed that a smartphone is used in the present invention.

The user terminal downloads an application that can check whether the lens is replaced, and when the application is activated, the Bluetooth function is automatically increased.

The user terminal may receive and output result information informing whether or not to replace the lens from the lens case 100 .

The neural network processing unit 130 includes a digital level value storage unit 131 , a deep learning learning unit 132 , a determining unit 133 , and a learning unit 134 .

The control unit 121 is electrically connected to the deep learning learning unit 132 , the determining unit 133 , and the learning unit 134 .

The digital level value storage unit 131 receives and stores the digital level value indicating the turbidity of the saline solution from the control unit 121 .

The neural network processing unit 130 sets the saline turbidity level corresponding to the digital level value, generates a saline turbidity level corresponding to the input digital level value, and generates result information notifying whether to replace the lens corresponding to the saline turbidity level. can be printed out.

The digital level value storage unit 131 learns a plurality of digital level values by a deep learning technique, and stores the saline turbidity level according to each digital level value as a database data value.

The deep learning learning unit 132 may learn through a neural network using the learning data stored in the digital level value storage unit 131 .

The deep learning learning unit 132 may detect a feature value from the learning data, and may adjust the connection weight applied to the neural network based on the digital level value data and the learning result of whether to replace the lens. The deep learning learning unit 132 calculates an error by comparing the output value generated in the output layer of the neural network with a desired expected value for the training data, and may adjust the connection weight applied to the recognition model of the neural network in a direction to reduce the error.

The deep learning learning unit 132 may control the neural network to repeatedly perform learning on all size measurement data included in the training data based on a preset number of repetitions.

The learned neural network can be used to recognize a digital level value and whether to replace a corresponding lens.

The deep learning learning unit 132 is composed of an input layer, a hidden layer, and an output layer, and inputs a digital level value to the input layer, and outputs the result of lens replacement for the input digital level value and the corresponding saline turbidity level to the output layer. A neural network can be trained to output.

The deep learning learning unit 132 may detect a feature value from the digital level value, which is the learning data received from the digital level value storage unit 131 , and train the neural network using the feature value.

In other words, the deep learning learner 132 may detect feature vectors from the digital level value and the saline turbidity level, and train the neural network using the detected feature vectors.

The determination unit 133 receives and stores the recognition model of the neural network from the deep learning learning unit 132 , receives the digital level value from the control unit 121 , and compares it with the digital level value received using the recognition model of the neural network to determine the saline turbidity level.

The determining unit 213 quantizes the received pressure value to extract feature values, and compares the extracted feature values with feature vectors of the learning data learned by the deep learning learning unit 132 to determine digital level values and corresponding values. The saline turbidity level is transmitted to the control unit 121 .

When the digital level value is not determined according to the control of the controller 121 , the learning unit 134 may control the learning unit 134 to learn using the recognition model of the neural network as new digital level value data.

When receiving the converted digital level value, the control unit 121 transmits the received digital level value to the neural network processing unit 130 , and receives the saline turbidity level as an output value from the neural network processing unit 130 .

4 is a diagram schematically illustrating an internal configuration of a control module according to another embodiment of the present invention.

The control module 120 includes a control unit 121 , a storage unit 122 , a display unit 123 , a power switch 124 , a Bluetooth communication module 125 , an image capturing unit 126 , and a neural network processing unit 130 . do.

The neural network processing unit 130 includes a deep learning learning unit 132 , a determining unit 133 , a learning unit 134 , and an image data storage unit 135 .

The image capturing unit 126 is formed close to the installed lens barrel 101 to photograph the saline solution contained in the lens barrel 10 , and stores the saline solution image data in the storage unit 122 .

The storage unit 122 stores the saline solution image data including the degree of turbidity (turbidity) of the saline solution.

The control unit 121 embeds software for image analysis, and the pattern similarity is obtained through pattern comparison analysis between the first saline image data captured by the image capturing unit 126 and the second saline image data stored in the storage unit 122 . , and when the second saline image data having a pattern similarity greater than or equal to a predetermined reference value (eg, 80%) exists in the storage unit 122 , the second saline image data is determined as the first saline image data .

The storage unit 122 stores the saline turbidity level matching the second saline image data and whether the lens is replaced.

The control unit 121 works in conjunction with the storage unit 122 to generate result information informing whether or not to replace the lens based on the saline turbidity level matching the second saline image data and whether to replace the lens.

The control unit 121 transmits the generated result information to the user terminal through the communication network by the Bluetooth communication module 125 .

The image data storage unit 135 receives and stores saline image data from the control unit 121 .

The neural network processing unit 130 sets a saline turbidity level corresponding to the saline image data, generates a saline turbidity level corresponding to the input saline image data, and generates result information notifying whether to replace a lens corresponding to the saline turbidity level. can be printed out.

The image data storage unit 135 learns a plurality of saline image data by a deep learning technique, and stores the saline turbidity level according to each saline image data into a database as a data value.

The deep learning learner 132 may learn through a neural network using the learning data stored in the image data storage 135 .

The deep learning learning unit 132 may detect a feature value from the learning data, and may adjust the connection weight applied to the neural network based on the digital level value data and the learning result of whether to replace the lens. The deep learning learning unit 132 calculates an error by comparing the output value generated in the output layer of the neural network with a desired expected value for the training data, and may adjust the connection weight applied to the recognition model of the neural network in a direction to reduce the error.

The deep learning learning unit 132 may control the neural network to repeatedly perform learning on all size measurement data included in the training data based on a preset number of repetitions.

The learned neural network can be used to recognize saline image data and whether to replace a corresponding lens.

The deep learning learning unit 132 is composed of an input layer, a hidden layer, and an output layer, and inputs saline image data to the input layer, and outputs the result of lens replacement for the input saline image data and the corresponding saline turbidity level to the output layer. A neural network can be trained to output.

The deep learning learning unit 132 may detect a feature value from a digital level value, which is the learning data received from the image data storage unit 135 , and train the neural network using the feature value.

In other words, the deep learning learner 132 may detect feature vectors from the saline image data and the saline turbidity level, and train the neural network using the detected feature vectors.

The determining unit 133 receives and stores the recognition model of the neural network from the deep learning learning unit 132, receives the saline image data from the control unit 121, and compares it with the received saline image data using the recognition model of the neural network to determine the saline turbidity level.

The determination unit 213 quantizes the received pressure value to extract feature values, and compares the extracted feature values with feature vectors of the learning data learned in the deep learning learning unit 132 to match the saline image data and corresponding values. The saline turbidity level is transmitted to the control unit 121 .

When the saline image data is not discriminated according to the control of the controller 121 , the learning unit 134 may control the saline image data to learn using the recognition model of the neural network as the new saline image data.

The controller 121 receives the saline image data and transmits it to the neural network processing unit 130 , and receives the saline turbidity level as an output value from the neural network processing unit 130 .

Although the embodiments of the present invention have been described in detail above, the scope of the present invention is not limited thereto. is within the scope of the right.

100: lens case 101: lens barrel
102: coupling bar 103: protrusion
110: case body 111: battery module
112: first lens coupling portion 113: first lens barrel coupling groove
114: first concave groove 115: second lens coupling part
116: second lens barrel coupling groove 117: second concave groove
119: turbidity detection sensor 119a: infrared light emitting unit
119b: infrared light receiving unit 120: control module
121: control unit 122: storage unit
123: display unit 124: power switch
125: Bluetooth communication module 126: video recording unit
130: neural network processing unit 131: digital level value storage unit
132: deep learning learning unit 133: determining unit
134: learning unit 135: image data storage unit

Claims (8)

a case body having a lid that forms a constant inner space and closes or opens the inner space;
a battery module seated in the internal space to electrically couple the battery;
a first lens coupling part and a second lens coupling part coupling the lens barrel to the bottom surface; and
A signal value for detecting the turbidity of the saline solution contained in the lens barrel is converted into a digital level value, the converted digital level value is compared with a preset reference level value, and the converted digital level value is the preset reference level value In case of exceeding, the lens case capable of managing pollution degree including a control module for generating result information informing whether or not to replace the lens in consideration of the turbidity of the saline solution contained in the lens barrel. a case body having a lid that forms a constant inner space and closes or opens the inner space;
a battery module seated in the internal space to electrically couple the battery;
a first lens coupling part and a second lens coupling part coupling the lens barrel to the bottom surface; and
A signal value for detecting the turbidity of the saline solution contained in the lens barrel is converted into a digital level value, the converted digital level value is compared with a preset reference level value, and the converted digital level value is the preset reference level value A control module having a controller for generating result information informing whether to replace the lens in consideration of the turbidity of the saline solution contained in the lens barrel, and transmitting the generated result information to a display unit installed inside the lid including,
The control unit is electrically connected to a power switch coupled to one side of the outer circumferential surface of the case body, and when receiving a power-on signal of the power switch, a process of detecting the turbidity of the saline solution in a plug-and-play manner and displaying it on the display unit A lens case that can control the level of contamination. The method according to claim 1 or 2,
It is formed close to the lens barrel and further comprises an infrared light emitting part and an infrared light receiving part positioned to face each other from the outside of the lens barrel,
The infrared light emitting unit generates an infrared signal, passes through the lens barrel and radiates toward the infrared light receiving unit, and the infrared light receiving unit absorbs or scatters a portion of the light emitted from the infrared light emitting unit. A lens case that can control the level of pollution that creates The method according to claim 1,
The control module controls to transmit and output the generated result information to the display unit installed in the inside of the lid, and the result information is a lens case capable of contamination management including a saline turbidity level and whether to replace the lens. 4. The method according to claim 3,
Further comprising a storage unit that matches and stores the saline turbidity level matching the digital level value and whether to replace the lens,
The control module converts the signal value of the infrared signal received from the infrared light receiver into a digital level value, compares the converted digital level value with a preset reference level value, and sets the converted digital level value to a preset reference level When the value is exceeded, the lens case can manage the pollution level by interlocking with the storage unit to generate result information indicating whether to replace the lens in consideration of the turbidity of the saline solution contained in the lens barrel. The method according to claim 1 or 2,
The lens barrel is a tube containing saline and a lens, forming a coupling rod of a certain length from one side of the lower surface, and protruding a protrusion on the circumferential surface of the coupling rod,
The first and second lens coupling portions form first and second lens barrel coupling grooves in which the coupling rods of the lens barrel are seated, and first digged to a predetermined depth along the inner surface of the first and second lens barrel coupling grooves; 2 concave grooves are formed, and the contamination level can be managed in which the protrusions are coupled to the first and second concave grooves by force fitting. The method according to claim 1 or 2,
The control module is a lens case capable of managing the degree of pollution by transmitting the generated result information to the user terminal by the Bluetooth communication module. The method according to claim 1 or 2,
A saline turbidity level corresponding to the digital level value is set, a saline turbidity level corresponding to the input digital level value is generated, and a neural network processing unit for generating and outputting result information informing whether to replace a lens corresponding to the saline turbidity level A lens case that can control pollution levels further comprising a.

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