KR20230105224A - Neck smart strap for pat and pat management system using the same - Google Patents

Abstract

A smart leash for pets and a pet management system using the same are disclosed. The present invention is a pet management system using a smart leash worn on a pet, which is worn on the pet and generates information about the pet and receives the information from the smart leash, and the information Based on may include a user terminal for generating state information of the pet.

Description

Smart leash for pets and pet management system using the same {NECK SMART STRAP FOR PAT AND PAT MANAGEMENT SYSTEM USING THE SAME}

The present invention relates to a smart leash for pets and a pet management system using the same. More specifically, it relates to a smart leash for pets capable of automatically grasping the state of the pet and a pet management system using the same.

Interest in pet care is increasing due to the increase in raising companion animals and the spread of the trend of accepting companion animals as family members. In particular, in recent years, the number and types of pets living together with humans are gradually increasing in order to avoid the monotony of daily life according to the nuclear family and Western civilization. These pets raise various pets according to the owner's taste, ranging from various types of dogs, cats, and even pigs.

In addition, the demand for pettech devices combined with advanced ICT technology is increasing among double-income and single-person households, that is, pet failmy, who are worried about going out while leaving their companion animal alone.

Most of these pets grow indoors, so they exercise at regular intervals or accompany their owners on walks and do outdoor activities.

In this way, when the pet is active outside, the pet's behavioral direction and radius are controlled by connecting the pet's leash through a towline such as a separate traction band to control the pet.

That is, the pet leash is worn around the neck of the pet, and the towline is connected to limit the behavior of the pet within the range of the towline and bind it to a certain place, or the animal runs away or threatens others while walking or moving. I'm using it to keep it from happening.

However, conventional pet leashes were simply wrapped around the neck or torso and had a simple function of connecting a towline. Therefore, a smart leash for pets that can check the health status of pets in real time, prevent deterioration into major diseases through immediate action when problems occur, and facilitate pet health management. And the need for a pet management system using the same is increasing.

KR102256838B1 (Title of invention: Pet management system using smart leash)

An object of the present invention is to provide a smart leash for pets and a pet management system using the same, which can automatically determine the state of the pet.

In order to solve the above problems, the present invention is a pet management system using a smart leash worn on a pet, which is worn on the pet and generates information about the pet from a smart leash and the smart leash It may include a user terminal that receives the information and generates state information of the pet based on the information.

In addition, the smart leash generates a necklace part for wearing by the pet and information of the pet, and includes a first body part attached to the collar part, wherein the first body part generates position coordinates of the pet It may include a GPS module and a heart rate measurement module for generating heart rate information of the pet.

In addition, the smart leash further includes a lead line portion one side of which is connected to the collar portion, the first body portion is attached to the necklace portion, and the lead strap portion is a camera for generating image data including peripheral information of the pet. It may include a second body portion including a module.

In addition, the camera module may include a housing including a through hole in a side wall, a lens installed in the through hole, and a driving unit for driving the lens.

In addition, the user terminal receives the image data from the camera module, generates gait pattern information of the pet based on the image data, and determines health abnormalities of the pet based on the gait pattern information. can detect...

In addition, in order to solve the above problems, the present invention is a smart leash worn on a pet and generating information about the pet, a collar part for wearing the pet, a first attached to the collar part A body portion, one side of which is connected to the collar portion, and a second body portion attached to the lead portion, wherein the first body portion includes a GPS module for generating location coordinates of the pet and heart rate of the pet. A heart rate measurement module for generating information; and the second main body may include a camera module for generating image data including peripheral information of the pet.

The present invention has the effect of automatically detecting the state of the pet using a leash worn on the pet.

In addition, the present invention has the effect of automatically detecting the state of the pet by mounting various modules such as GPS, heart rate measurement, etc. on the leash.

In addition, the present invention has the effect of automatically detecting the health condition of the pet by mounting the camera module on the leash.

In addition, the present invention can generate a clearer and clearer image or image data by using a camera module including a lens resistant to external contamination, thereby increasing the recognition rate of the target pet and improving the accuracy of health condition determination. can be significantly improved.

Effects obtainable according to the present invention are not limited to the effects mentioned above, and other effects not mentioned can be clearly understood by those skilled in the art from the description below. will be.

1 shows a pet management system using a smart leash for pets according to the present invention.
2 and 3 show a smart leash for pets according to the present invention.
Figure 4 schematically shows the first body portion according to the present invention.
5 schematically shows a second body part according to the present invention.
6 schematically shows a camera module according to the present invention.
7 schematically shows a user terminal according to the present invention.
8 and 9 show examples of detecting health abnormalities of pets according to the present invention.
10 is a diagram showing an example of an image correction filter according to the present invention.
11 shows a HSV graph according to the present invention.
The accompanying drawings, which are included as part of the detailed description to aid understanding of the present specification, provide examples of the present specification and describe technical features of the present specification together with the detailed description.

Hereinafter, the embodiments disclosed in this specification will be described in detail with reference to the accompanying drawings, but the same or similar elements are given the same reference numerals regardless of reference numerals, and redundant description thereof will be omitted.

In addition, in describing the embodiments disclosed in this specification, if it is determined that a detailed description of a related known technology may obscure the gist of the embodiment disclosed in this specification, the detailed description thereof will be omitted.

In addition, the accompanying drawings are only for easy understanding of the embodiments disclosed in this specification, the technical idea disclosed in this specification is not limited by the accompanying drawings, and all changes included in the spirit and technical scope of the present invention , it should be understood to include equivalents or substitutes.

Terms including ordinal numbers, such as first and second, may be used to describe various components, but the components are not limited by the terms. These terms are only used for the purpose of distinguishing one component from another.

Singular expressions include plural expressions unless the context clearly dictates otherwise.

In this application, terms such as "comprise" or "have" are intended to designate that there is a feature, number, step, operation, component, part, or combination thereof described in the specification, but one or more other features It should be understood that the presence or addition of numbers, steps, operations, components, parts, or combinations thereof is not precluded.

Hereinafter, based on the above description, a smart leash for pets and a pet management system using the same according to a preferred embodiment of the present specification will be described in detail as follows.

1 shows a pet management system using a smart leash for pets according to the present invention, and FIGS. 2 and 3 show a smart leash for pets according to the present invention.

According to FIG. 1, the system according to the present invention may include a smart leash 100 and a user terminal 200.

The smart leash 100 according to the present invention may be configured to be worn on a pet and generate information about the pet. Information about the pet may include location information, heart rate information, surrounding information, and health information of the pet.

The user terminal 200 according to the present invention may be a personal terminal such as a mobile phone, a smart phone, a computer, a tablet, a laptop, or a PDA, and may be a computing device. The user terminal 200 may receive the information from the smart leash 100 and generate pet state information based on the information. The pet's condition information may be a diagnosis of the pet's health.

2 and 3, the smart leash 100 according to the present invention may include a first body portion 110, a necklace portion 120, a lead string portion 130, and a second body portion 140. .

The necklace part 120 may be worn around the neck of the pet. In addition, the first body portion 110 may be attached to the collar portion 120 to collect or generate information around the neck of the pet.

According to FIGS. 2 and 3, the smart leash 100 according to the present invention has a lead string part 130 formed such that one side is connected to the collar part 120 and extended to the other side, and an image including peripheral information of a pet. A second body portion 140 including a camera module for generating data may be further included. The lead line portion 130 may include a handle portion that the owner of the pet can hold by hand.

Figure 4 schematically shows the first body portion according to the present invention.

The first body unit 110 according to the present invention may include a GPS module 111 for generating location coordinates of a pet and a heart rate measurement module 112 for generating heart rate information of the pet. In addition, the first body unit 110 may further include a battery unit 113 for supplying power to other components. In addition, the first body unit 110 may further include a communication module 114 capable of communicating with an external device.

The battery unit 113 may include a lithium ion battery or the like or may include a battery. The battery unit 113 may be provided in both the first body unit 110 and the second body unit (140 in FIG. 2 ), and among the first body unit 110 and the second body unit (140 in FIG. 2 ) It may be provided only in either one.

The communication module 114 may be a component for communicating with a user terminal by utilizing short-range communication technology. As a short range communication technology used in the communication module 114 of the first body unit 110, Bluetooth, BLE (Bluetooth Low Energy), Beacon, RFID (Radio Frequency Identification), NFC (Near Field Communication), Infrared Data Association (IrDA), Ultra Wideband (UWB), ZigBee, and the like may be used.

Figure 5 schematically shows the second body portion according to the present invention, Figure 6 schematically shows the camera module according to the present invention.

According to FIG. 5 , the second body unit 140 according to the present invention may include a camera module, a battery unit 142 and a communication module 143 .

The second body unit 140 may generate image data (or image data) including a pet through a camera module. The generated image data (or image data) may be transmitted to the user terminal (200 in FIG. 1).

The battery unit 142 may provide power for operating components of the second body unit 140 . The battery unit 142 may include a lithium ion battery or the like or may include a battery. The battery unit 142 may be provided in both the first body unit ( 110 in FIG. 2 ) and the second body unit 140 , and among the first body unit ( 110 in FIG. 2 ) and the second body unit 140 It may be provided only in either one.

The communication module 143 may be a component for communicating with a user terminal (200 in FIG. 1) using a short-range communication technology, and the communication module 143 of the first body unit (110 in FIG. 2) may be used instead. there is.

Image data (or image data) generated by the camera module may be transmitted to and learned from the user terminal (200 in FIG. 1). The user terminal (200 in FIG. 1 ) through the learning module (1) recognizes whether a pet exists in the image data (or image data), and (2) if the pet exists in the image data (or image data) , can recognize certain behavioral patterns of pets.

For example, the user terminal ( 200 in FIG. 1 ) may recognize a gait pattern of a pet (dog). The learning module may learn image data of a gait of a dog with patella dislocation and image data of a normal dog as input values. The learning module may classify the dog's image data into a case where patella dislocation occurred and a case where the patellar dislocation occurred, based on the learning result, through a classification algorithm. At this time, the learning module may use a CNN learning algorithm, and may perform image processing using an image filter to be described later on image data (or image data) generated by the camera module.

According to FIG. 6 , the camera module 141 according to the present invention may generate image data from an optical image. The camera module 141 may include a housing including a through hole on a side wall, a lens 1321 installed in the through hole, and a driving unit 1323 that drives the lens 1321 . The through hole may have a size corresponding to the diameter of the lens 1321 . The lens 1321 may be inserted into the through hole.

The driving unit 1323 may be configured to control the lens 1321 to move forward or backward. The lens 1321 and the driving unit 1323 are connected in a conventionally known manner, and the lens 1321 may be controlled by the driving unit 1323 in a conventionally known manner.

In order to obtain various video images, the lens 1321 needs to be exposed to the outside of the camera module 141 or housing.

In particular, the camera module 141 according to the present invention requires a lens with strong contamination resistance because it is necessary to take pictures directly in an outdoor environment where pets are active. Accordingly, the present invention proposes a coating layer for coating a lens to solve this problem.

Preferably, the surface of the lens 1321 may be coated with a coating composition including a compound represented by Chemical Formula 1 below, an organic solvent, inorganic particles, and a dispersant.

[Formula 1]

here,

L ₁ is a single bond, a substituted or unsubstituted arylene group having 6 to 30 carbon atoms, a substituted or unsubstituted alkylene group having 1 to 20 carbon atoms, a substituted or unsubstituted cycloalkylene group having 3 to 20 carbon atoms, substituted or unsubstituted is selected from the group consisting of an alkenylene group having 2 to 20 carbon atoms, a substituted or unsubstituted cycloalkenylene group having 3 to 20 carbon atoms, and a substituted or unsubstituted alkynylene group having 2 to 20 carbon atoms,

When the L ₁ is substituted, hydrogen, a nitro group, a halogen group, a hydroxy group, an alkyl group having 1 to 30 carbon atoms, a cycloalkyl group having 1 to 20 carbon atoms, an alkenyl group having 2 to 30 carbon atoms, an alkynyl group having 2 to 24 carbon atoms, and a carbon number It is substituted with one or more substituents selected from the group consisting of an aralkyl group having 7 to 30 carbon atoms, an aryl group having 6 to 30 carbon atoms, and an alkoxy group having 1 to 30 carbon atoms, and when substituted with a plurality of substituents, they are the same as or different from each other.

When the lens 1321 is coated with the coating composition, it can exhibit excellent water repellency and stain resistance, so even if the lens 1321 exposed to an outdoor environment is exposed to a polluted environment for a long time, clearer images or videos can be collected.

The inorganic particles may be selected from the group consisting of silica, alumina, and mixtures thereof. The average diameter of the inorganic particles is 70 to 100 μm, but is not limited to the above examples. After forming the coating layer 1322 on the surface of the lens 1321, the inorganic particles may improve physical strength and maintain viscosity within a certain range to increase moldability.

The organic solvent is selected from the group consisting of methyl ethyl ketone (MEK), toluene, and mixtures thereof, and preferably methyl ethyl ketone may be used, but is not limited to the above examples.

As the dispersing agent, a polyester-based dispersing agent may be used, and specifically, TEGO-Disperse 670 (manufacturer : EVONIK) can be used, but it is not limited to the above examples, and all dispersants obvious to those skilled in the art can be used without limitation.

The coating composition may further include a stabilizer as other additives, and the stabilizer may include a UV absorber, an antioxidant, and the like, but is not limited to the above examples and may be used without limitation.

A coating composition for forming the coating layer 1322 may include, more specifically, the compound represented by Chemical Formula 1, an organic solvent, inorganic particles, and a dispersant.

The coating composition may include 40 to 60 parts by weight of the compound represented by Chemical Formula 1, 20 to 40 parts by weight of inorganic particles, and 5 to 15 parts by weight of a dispersant, based on 100 parts by weight of the organic solvent. In the case of the above range, a synergistic effect is expressed to the extent that the water repellency effect due to the interaction of each component is of critical significance, and when it is out of the above range, the synergistic effect is rapidly reduced or almost nonexistent.

More preferably, the viscosity of the coating composition is 1500 to 1800 cP, and when the viscosity is less than 1500 cP, when applied to the surface of the lens 1321, there is a problem that it is not easy to form the coating layer 1322 because it flows down, and the coating composition exceeds 1800 cP. In this case, there is a problem in that it is not easy to form a uniform coating layer 1322.

[Preparation Example 1: Preparation of coating layer]

1. Preparation of coating composition

A coating composition was prepared by mixing a compound represented by Formula 1, inorganic particles, and a dispersant in methyl ethyl ketone:

[Formula 1]

here,

L ₁ is an unsubstituted alkylene group having 5 carbon atoms.

A more specific composition of the antistatic composition is shown in Table 1 below.

TX1 TX2 TX3 TX4 TX5 organic solvent 100 100 100 100 100 Compound represented by Formula 1 30 40 50 60 70 inorganic particles 10 20 30 40 50 dispersant One 5 10 15 20

(unit weight parts)

2. Preparation of coating layer

A coating layer 1322 was formed by applying the coating composition of DX1 to DX5 on one surface of the lens 1321 and then curing the coating composition.

[Experimental example]

1. Evaluation of surface appearance

Due to the difference in viscosity of the coating composition, after the coating layer 1322 was prepared, a sensory evaluation was performed on whether a uniform surface was formed. Evaluation was conducted on whether or not a uniform coating layer 1322 was formed, and the evaluation was conducted according to the following criteria.

○: uniform coating layer formation

×: Formation of non-uniform coating layer

TX1 TX2 TX3 TX4 TX5 sensory evaluation Х ○ ○ ○ Х

When forming the coating layer 1322, if the viscosity is less than a certain amount, flow occurs on the surface of the lens 1321, and it is difficult to form a uniform coating layer 1322 after the curing process in many cases. Accordingly, a problem of lowering the production yield may occur. In addition, even when the viscosity is too high, it is difficult to uniformly apply the composition and it is impossible to form a uniform coating layer 1322 .

2. Measurement of water repellency angle

After forming the coating layer 1322 on the surface of the lens 1321, the results of measuring the water repellency angle are shown in Table 3 below.

)advancing contact angle (

) static contact angle (

) receding contact angle (

) TX1 117.1±2.9 112.1±4.1 < 10 TX2 132.4±1.5 131.5±2.7 141.7±3.4 TX3 138.9±3.0 138.9±2.7 139.8±3.7 TX4 136.9±2.0 135.6±2.6 140.4±3.4 TX5 116.9±0.7 115.4±3.0 < 10

As shown in Table 3, after the coating layer 1322 was formed using the coating compositions of TX1 to TX5, the result of measuring the contact angle was confirmed. TX1 and TX5 measured receding contact angles less than 10 degrees. That is, it was confirmed that a phenomenon in which water droplets are pinned occurs when the coating composition is out of the optimal range for preparing the coating composition. On the other hand, it was confirmed that the pinning phenomenon did not occur in TX2 to 4, indicating that excellent waterproofing effect could be exhibited.

3. Fouling resistance evaluation

A lens 1321 having a coating layer 1322 according to the above embodiment formed outside the facility was attached to a model camera and exposed to an outdoor environment for 4 days. As the comparative example (Con), the same lens 1321 without the coating layer 1322 was used, and the model camera in each example was installed in the same outdoor environment.

After that, the degree of contamination of the lens 1321 before and after the experiment was evaluated, and for objective comparison, the result was compared with the comparative example in which the coating layer 1322 was not formed, and the result was evaluated by an index of 1 to 10, and Table 4 below shown in In the index below, the lower the number, the better the stain resistance.

Con TX1 TX2 TX3 TX4 TX5 stain resistance 10 7 3 3 3 8

(Unit: Index)

Referring to Table 4, in the case of forming the coating layer 1322 on the lens 1321, even if the lens 1321 is exposed to the outside while installing the camera in the external environment, high fouling resistance can be easily analyzed for a long period of time. It can be seen that image data can be collected. In particular, in the case of TX2 to TX4, it can be confirmed that the contamination resistance by the coating layer 1322 is very excellent.

7 schematically shows a user terminal according to the present invention.

According to FIG. 7 , the user terminal 200 according to the present invention may include a processor 210, a memory 220 and a communication module 230.

The processor 210 may execute commands stored in the memory 220 to control other components. The processor 210 may execute instructions stored in the memory 220 .

The processor 210 is a component capable of performing calculations and controlling other devices. Mainly, it may mean a central processing unit (CPU), an application processor (AP), a graphics processing unit (GPU), and the like. Also, the CPU, AP, or GPU may include one or more cores therein, and the CPU, AP, or GPU may operate using an operating voltage and a clock signal. However, while a CPU or AP consists of a few cores optimized for serial processing, a GPU may consist of thousands of smaller and more efficient cores designed for parallel processing.

The processor 210 may provide or process appropriate information or functions to a user by processing signals, data, information, etc. input or output through the components described above or by running an application program stored in the memory 220.

The memory 220 stores data supporting various functions of the user terminal 200 . The memory 220 may store a plurality of application programs (application programs or applications) running in the user terminal 200 , data for operation of the user terminal 200 , and commands. At least some of these application programs may be downloaded from an external server through wireless communication. Also, the application program may be stored in the memory 220, installed in the user terminal 200, and driven by the processor 210 to perform an operation (or function) of the user terminal 200.

The memory 220 may be a flash memory type, a hard disk type, a solid state disk type, a silicon disk drive type, or a multimedia card micro type. ), card-type memory (eg SD or XD memory, etc.), RAM (random access memory; RAM), SRAM (static random access memory), ROM (read-only memory; ROM), EEPROM (electrically erasable programmable read -only memory), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, and an optical disk. Also, the memory 220 may include a web storage performing a storage function on the Internet.

The communication module 230 transmits and receives information with a base station or a camera having a communication function through an antenna. The communication module 230 may include a modulation unit, a demodulation unit, a signal processing unit, and the like. Also, the communication module 230 may perform a wired communication function.

Wireless communication may refer to communication using a wireless communication network using a communication facility previously installed by telecommunication companies and a frequency of the communication facility. At this time, the communication module 230 is CDMA (code division multiple access), FDMA (frequency division multiple access), TDMA (time division multiple access), OFDMA (orthogonal frequency division multiple access), SC-FDMA (single carrier frequency division multiple access), and the like, as well as the communication module 230 can also be used for 3rd generation partnership project (3GPP) long term evolution (LTE). In addition, not only 5G communication, which is currently being commercialized, but also 6G, which is scheduled to be commercialized later, can be used. However, the present specification may utilize a pre-installed communication network without being bound by such a wireless communication method.

In addition, as a short range communication technology, Bluetooth, BLE (Bluetooth Low Energy), Beacon, RFID (Radio Frequency Identification), NFC (Near Field Communication), infrared communication (Infrared Data Association; IrDA) ), UWB (Ultra Wideband), ZigBee, etc. may be used.

8 and 9 show examples of detecting health abnormalities of pets according to the present invention.

According to FIG. 8 , the movement pattern of the pet may include the movement frequency of the animal recorded for one day and the frequency of movement of the corresponding frequency. In addition, the intensity of the high-frequency motion according to the time of one day (eg, an average value per 10 minutes) may be included.

The motion pattern of the animal shown in FIG. 8 is exemplary, and the present invention is not limited thereto. In the present invention, the motion pattern of an animal may include pattern information about various other types of motions that can be obtained based on a signal that can be detected by, for example, an acceleration sensor or a gyro sensor.

According to FIG. 8, it is exemplified that the animal wearing the smart leash 100 has a high frequency of an operation having a frequency of about 100 Hz and an operation having a frequency of 160 Hz. For example, a motion having a frequency of 100 Hz may correspond to a movement of a body including a head of an animal while eating. In addition, the motion with a frequency of 160 Hz may correspond to the operating frequency when scratching the animal's body. That is, the motion pattern of the animal may appear as a pattern with a relatively high frequency of movement when eating food and when scratching the skin. Therefore, it can be determined that the animal has a relatively high possibility of having a skin disease based on the frequency of the animal's high-frequency movement and the duration of the movement.

According to FIG. 9 , the location movement pattern of the pet may include an average speed over time and a movement distance for each speed of the animal recorded for one day.

According to FIG. 9 , it is exemplified that the corresponding pet has movement with a large average speed at breakfast, lunch, and dinner. This can be interpreted as the fact that the animal shows active movement before and after eating, but the animal's movement is reduced during times other than eating.

In addition, when looking at the moving distance for each speed of the animal, it may appear that the moving distance of the animal decreases as the moving speed increases. From this, it can be interpreted that the animal moves at a very slow speed throughout the day and hardly moves at a high speed.

Accordingly, it can be determined that the corresponding pet moves mainly at a low speed, and its movements other than meal time are slowed down. Based on this, it can be diagnosed that the pet has a high possibility of lack of exercise and obesity.

10 is a diagram showing an example of an image correction filter according to the present invention, and FIG. 11 shows a HSV graph according to the present invention.

According to FIG. 10, types and functions of filters are shown. That is, the CNN algorithm may be a learning algorithm using a plurality of layers. In addition, the CNN algorithm can automatically learn a filter that maximizes image classification accuracy, and by adding a new layer called a convolutional layer and a polling layer before the fully connected layer, after applying the filtering technique to the original image, the filtered image A classification operation can be performed on . The CNN algorithm is configured to apply a filtering technique to the original image by adding a new layer, called a convolutional layer and a pooling layer, before the fully-connected layer, and then perform a classification operation on the filtered image. can

At this time, the operation expression for the image filter using the CNN algorithm is as shown in Equation 1 below.

[Equation 1]

(step,

: 행렬로 표현된 필터링된 이미지의 i번째 행, j번째 열의 픽셀,

: pixels in the i-th row and j-th column of the filtered image expressed as a matrix,

: 필터,

: filter,

: 이미지,

: image,

: 필터의 높이 (행의 수),

: height of the filter (number of rows),

: 필터의 너비 (열의 수)이다. )

: The width of the filter (number of columns). )

Preferably, the operation expression for the image filter using the CNN algorithm is as shown in Equation 2 below.

[Equation 2]

(step,

: 행렬로 표현된 필터링된 이미지의 i번째 행, j번째 열의 픽셀,

: pixels in the i-th row and j-th column of the filtered image expressed as a matrix,

: 응용 필터

: Application filter

: 이미지,

: image,

: 응용 필터의 높이 (행의 수),

: height of application filter (number of rows),

: 응용 필터의 너비 (열의 수)이다.)

: The width (number of columns) of the application filter.)

는 응용 필터로서 애완동물(특히, 강아지)가 포함된 이미지 데이터를 학습하고, 이미지 데이터에 포함된 애완동물(특히, 강아지)의 동작을 인식하기 위하여, 상기 이미지 데이터에 적용되는 필터일 수 있다. 특히, 애완동물(특히, 강아지) 또는 애완동물의 동작에 대한 인식의 경우 형태 및 색감의 차이를 기초로 분류될 수 있으므로, 형태 및 색감 등을 효과적으로 인지하기 위한 응용 필터가 필요할 수 있다. 이러한 필요성을 충족하기 위하여 응용 필터

는 아래의 수학식 3에 의하여 연산될 수 있다. Preferably,

may be applied to the image data in order to learn image data including a pet (particularly, puppy) as an application filter and to recognize motions of the pet (particularly, puppy) included in the image data. In particular, since recognition of a pet (particularly, a puppy) or motion of a pet can be classified based on differences in shape and color, an application filter for effectively recognizing shape and color may be required. Application filters to meet these needs

Can be calculated by Equation 3 below.

[Equation 3]

: 필터,

: 계수,

: 응용 필터)(step,

: filter,

: Coefficient,

: application filter)

에 따른 필터는 도 10에 따른 엣지 인식 필터(Edge detection), 샤픈 필터(sharpen) 및 박스 블러 필터(Box blur) 중 어느 하나의 행렬일 수 있다. At this time, each

The filter according to may be any one matrix of an edge detection filter according to FIG. 10, a sharpen filter, and a box blur filter.

를 구하는 연산식은 아래의 수학식 4와 같다. 이때,

는 필터의 효율을 높이기 위하여 사용되는 하나의 변수로서 해석될 수 있으며, 그 단위는 무시될 수 있다. Preferably,

The operation expression for obtaining is as shown in Equation 4 below. At this time,

can be interpreted as a variable used to increase the efficiency of the filter, and its unit can be ignored.

[Equation 4]

However, the diameter (diameter) of the lens of the camera device (141 in FIG. 5) used for image capture is in mm, the f value of the lens is the aperture value (F number) of the lens, and the HSV average value is the color coordinate according to the image HSV Yes, the diameter (diameter) of the lens of the camera device (141 in FIG. 5) used for image capture is in mm, the f-value of the lens is the aperture value (F number) of the lens, and the HSV average value according to the image It may mean a value obtained by averaging values obtained by converting color coordinates into size values through the HSV graph. Details of the HSV value are as follows.

According to FIG. 11, the HSV graph according to the present invention may mean a color space in which perceptual characteristics are reflected. H (Hue, 0 to 360°) may mean hue, S (Saturation, 0 to 100%) may mean saturation, and V (Value, 0 to 100%) may mean lightness. . Hue, saturation, and lightness values can be referred to as HSV values, which can be easily extracted using graphic tools such as Adobe illustrator cc 2019.

The HSV average value according to the present invention can be obtained through the HSV three-dimensional coordinates of FIG. 11 . That is, the average HSV value according to the present invention may be calculated based on the HSV value obtained through a graphic tool. The distance value of the HSV coordinates measured with the origin coordinates on the HSV 3-dimensional coordinates as a reference point may constitute the above-described HSV average value. That is, the image according to the present invention includes an image of a pet (particularly, a puppy), and the HSV color coordinates of the image may be distributed in a certain area among HSV 3D coordinates. Therefore, the HSV average value according to the present invention may mean a distance value from the origin coordinates calculated based on average coordinates using the average of HSV coordinates for colors of a certain region.

[Experimental example]

Regarding the image data according to the present invention, when the application filter F' of the present invention is applied, the recognition accuracy of whether or not the dog has patella dislocation is as follows. The table below shows the accuracy of the recognition result as a numerical value, depending on whether a filter is applied or not, commissioned by 10 experts in the relevant technical field.

no filter applied

적용filter

apply filter

apply Average Accuracy (Score) 75 90 97

Table 5 shows the scores for accuracy evaluated by experts for each case. In this experimental example, the accuracy of the learning module pre-learned through big data was investigated according to whether or not a filter was applied.

In addition, this experimental example was experimented with image data including 120 different puppies, and 10 experts surveyed the accuracy of dog recognition included in the image data with respect to the recognition result value.

As can be seen in Table 5, when the filter is not applied, there is a probability of error in image recognition, and the evaluation is relatively low accuracy. In contrast, the accuracy was slightly higher when the general CNN filter F was applied, but it was confirmed that the accuracy was remarkably improved when the applied filter F' was applied.

The above-described present invention can be modeled as a computer readable code on a medium on which a program is recorded. The computer-readable medium includes all types of recording devices in which data readable by a computer system is stored. Examples of computer-readable media include Hard Disk Drive (HDD), Solid State Disk (SSD), Silicon Disk Drive (SDD), ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage device, etc. , and also includes those modeled in the form of carrier waves (eg, transmission over the Internet). Accordingly, the above detailed description should not be construed as limiting in all respects and should be considered illustrative. The scope of this specification should be determined by reasonable interpretation of the appended claims, and all changes within the equivalent scope of this specification are included in the scope of this specification.

Any or other embodiments of the present invention described above are not mutually exclusive or distinct. Certain or other embodiments of the present invention described above may be used in combination or combination of respective configurations or functions.

The above detailed description should not be construed as limiting in all respects and should be considered illustrative. The scope of the present invention should be determined by reasonable interpretation of the appended claims, and all changes within the equivalent scope of the present invention are included in the scope of the present invention.

100: smart leash
200: user terminal

Claims (6)

In the pet management system using a smart leash worn on a pet,
a smart leash worn on the pet and generating information about the pet; and
A user terminal for receiving the information from the smart leash and generating status information of the pet based on the information;
A pet management system using a smart leash.
According to claim 1,
The smart leash,
a necklace part for wearing the pet; and
A first body part generating information of the pet and attached to the collar part; including,
The first body part,
a GPS module for generating location coordinates of the pet; and
A heart rate measurement module for generating heart rate information of the pet;
A pet management system using a smart leash.
According to claim 2,
The smart leash,
A lead line portion having one side connected to the necklace portion; further comprising,
The first body part is attached to the necklace part,
The lead line part,
To include a second body portion including a camera module for generating image data including peripheral information of the pet,
A pet management system using a smart leash.
According to claim 3,
The camera module,
A housing including a through hole in a side wall;
a lens installed in the through hole; and
To include; a driving unit for driving the lens;
A pet management system using a smart leash.
According to claim 3,
The user terminal,
Receiving the image data from the camera module, generating gait pattern information of the pet based on the image data, and detecting health abnormalities of the pet based on the gait pattern information,
A pet management system using a smart leash.
In a smart leash worn on a pet and generating information about the pet,
a necklace part for wearing the pet;
a first body part attached to the necklace part;
A lead line portion having one side connected to the necklace portion;
Including; a second body portion attached to the lead line portion,
The first body part,
a GPS module for generating location coordinates of the pet; and
A heart rate measurement module for generating heart rate information of the pet; includes;
The second body part,
To include a camera module for generating image data including peripheral information of the pet,
A smart leash for pet care.

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