KR102344722B1 - Smart weight scale apparatus for measuring obesity of companion animal and method for managing the companion animal using therefor - Google Patents

Abstract

A smart weight device for measuring the degree of obesity of companion animals and a companion animal management method using the same are disclosed. A smart weight apparatus according to an embodiment of the present invention includes a weight measuring unit for measuring the weight of a companion animal; a pressure measuring unit configured to measure pressure generated by each of the legs of the companion animal when the companion animal is weighed; and detecting the position of each of the legs based on the pressure values measured for each of the legs, and based on the measured weight and the position detected for each of the legs, the companion animal's body mass index (BMI) ; body mass index) and comprising a control unit for providing information on the measured body mass index and the measured weight, wherein the control unit is based on the position detected for each of the legs and the measured pressure value. Based on the measurement, the degree of dislocation of the patella of the companion animal may be measured, and the measured degree of dislocation of the patella may be provided.

Description

A smart weight device for measuring the obesity level of companion animals and a companion animal management method using the same {SMART WEIGHT SCALE APPARATUS FOR MEASURING OBESITY OF COMPANION ANIMAL AND METHOD FOR MANAGING THE COMPANION ANIMAL USING THEREFOR}

The present invention relates to a smart weight device and a companion animal management technology using the same, and more particularly, measures not only the weight of the companion animal but also the body mass index (BMI) or obesity and the degree of patellar dislocation, and through this, the companion animal is measured. A smart weight device capable of managing an animal and a companion animal management method using the same.

Since the Rural Development Administration's Livestock Science Institute announced in 2008 that Korea's pet breeding households are raising about 5 million out of 2 million households, the number of pet breeding households has been continuously increasing. Accordingly, as the expression “pet” changes to a companion character like a family and living with people, the expression “companion animal” is sometimes used.

As the number of households raising companion animals increases, cases of injury and death of companion animals, abandonment, and damage to others are increasing due to carelessness and negligence of control in breeding.

Accordingly, in order to eliminate the side effect of the absence of management due to the presence or absence of a breeder with interest and affection for companion animals indoors and at home, a wireless communication function such as a wireless Internet phone, a screen indicator, a camera, a speaker, etc. are built-in. The mobile terminal and the mobile terminal can communicate with each other and have a built-in distance sensor. Through the combination of the mobile terminal mobile dock that can move freely avoiding obstacles, using the basic information entered by the breeder in the mobile terminal, And for companion animals at home, it is possible to manage not only praise and warning according to the predetermined schedule and the companion animal's movement, but also meals and defecation, rest and sleep, and safety.

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Korean Patent Publication No. 10-2006-0000314 (published on Jan. 6, 2006)

Embodiments of the present invention measure not only the weight of the companion animal but also the body mass index (BMI) or the degree of obesity and patellar dislocation, and through this, a smart weight device capable of managing the companion animal and a companion animal using the same management methods are provided.

A smart weight apparatus according to an embodiment of the present invention includes a weight measuring unit for measuring the weight of a companion animal; a pressure measuring unit configured to measure pressure generated by each of the legs of the companion animal when the companion animal is weighed; and detecting the position of each of the legs based on the pressure values measured for each of the legs, and based on the measured weight and the position detected for each of the legs, the companion animal's body mass index (BMI) and a controller for measuring the body mass index) and providing information on the measured body mass index and the measured weight.

The controller may measure the degree of patellar dislocation of the companion animal based on the detected position of each of the legs and the measured pressure value, and may provide the measured degree of patellar dislocation.

The controller may estimate a height length of the companion animal based on the detected positions for each of the legs, and measure the body mass index of the companion animal using the estimated height length and the measured weight. .

The control unit measures a pressure distribution in the hind legs and a stride value of the hind legs of the companion animal based on the detected position and the measured pressure values for each of the legs, and the measured pressure distribution in the hind legs The degree of patellar dislocation can be measured using the stride value of the and hind legs.

Furthermore, the smart weight apparatus according to an embodiment of the present invention further includes a photographing means for photographing an image of the companion animal, and the control unit recognizes the image of the companion animal captured by the photographing means to recognize the companion animal. The height of the animal may be estimated, and the body mass index of the companion animal may be measured by reflecting the estimated height of the companion animal.

The photographing means includes a depth camera, and the control unit recognizes the shape of the companion animal including the belly of the companion animal through image recognition captured by the depth camera, and reflects the shape of the companion animal to determine the shape of the companion animal. You can measure the body mass index of your companion animal.

Furthermore, the smart body weight apparatus according to an embodiment of the present invention further includes an infrared multi-sensor including a light-emitting means array and a light-receiving means array, and the controller is configured to use the infrared multi-touch sensor technology using the infrared multi-sensor. The position of each leg of the companion animal may be detected, the height length may be estimated based on the detected leg position, and the body mass index of the companion animal may be measured by reflecting the estimated height length of the companion animal.

In the companion animal management method according to an embodiment of the present invention, the companion animal management method using a smart weight device having a weight measurement sensor and a pressure measurement sensor measures the weight of the companion animal using the weight measurement sensor, measuring the pressure generated by each of the legs of the companion animal using the pressure sensor when measuring the weight of the companion animal; detecting a position of each of the legs based on a pressure value measured for each of the legs; measuring a body mass index (BMI) of the companion animal based on the measured weight and positions detected with respect to each of the legs; and providing information on the measured body mass index and the measured weight.

Furthermore, the companion animal management method according to an embodiment of the present invention further includes measuring the degree of patellar dislocation of the companion animal based on the detected position of each of the legs and the measured pressure value, The providing may provide the measured degree of patellar dislocation.

The measuring of the body mass index may include estimating the height of the companion animal based on the detected positions for each of the legs, and using the estimated height and the measured weight to determine the body mass of the companion animal. index can be measured.

In the measuring the degree of patellar dislocation, the pressure distribution in the hind leg of the companion animal and the stride value of the hind leg are measured based on the detected position and the measured pressure value for each of the legs, and the measured The degree of patellar dislocation can be measured using the pressure distribution in the hind leg and the stride value of the hind leg.

Furthermore, the companion animal management method according to an embodiment of the present invention further includes the step of photographing an image of the companion animal, and the step of measuring the body mass index is performed through image recognition of the photographed companion animal. The height length of the companion animal may be estimated, and the body mass index of the companion animal may be measured by reflecting the estimated height length of the companion animal.

The measuring of the body mass index may include recognizing the shape of the companion animal including the belly of the companion animal through image recognition captured by a depth camera, and reflecting the shape of the companion animal to determine the body mass of the companion animal index can be measured.

Furthermore, the companion animal management method according to an embodiment of the present invention further includes the step of detecting the position of each leg of the companion animal through infrared multi-touch sensor technology using an infrared multi-sensor including a light-emitting means array and a light-receiving means array. The measuring of the body mass index may include estimating a height length through the detected leg positions and measuring the body mass index of the companion animal by reflecting the estimated height length of the companion animal.

According to embodiments of the present invention, the companion animal can be managed by measuring not only the weight of the companion animal but also the body mass index (BMI) or the degree of obesity and patellar dislocation.

According to embodiments of the present invention, the pressure value of each leg is measured when the weight of the companion animal is measured using a pressure measuring sensor provided in the body weight device or the scale, and the pressure distribution of the hind legs and the pressure distribution of the hind legs using the measured pressure value By estimating the stride value, it is possible to diagnose the degree of patellar dislocation in companion animals.

According to embodiments of the present invention, the weight and the degree of patellar dislocation are measured, the effect of the patellar dislocation on the body weight is analyzed based on the measured information, and the user who raises a companion animal is a companion animal based on the analyzed information. It is possible to facilitate the management of the animal's weight, and it is possible to easily manage the dislocation of the patella.

1 shows an exemplary view of a system including a smart weight device of the present invention.
2 is a diagram showing the configuration of a smart weight device according to an embodiment of the present invention.
3 shows an exemplary view of a method for measuring the degree of obesity of a companion animal.
Figure 4 shows an exemplary view for the degree of dislocation of the patella.
5 is a flowchart illustrating a method for managing a companion animal according to an embodiment of the present invention.
6 is a diagram illustrating an example of a method of measuring a leg position and a height length of a companion animal using an infrared multi-sensor.

Advantages and features of the present invention and methods of achieving them will become apparent with reference to the embodiments described below in detail in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but will be embodied in various different forms, and only these embodiments allow the disclosure of the present invention to be complete, and common knowledge in the art to which the present invention pertains It is provided to fully inform those who have the scope of the invention, and the present invention is only defined by the scope of the claims.

The terminology used herein is for the purpose of describing the embodiments, and is not intended to limit the present invention. In this specification, the singular also includes the plural unless specifically stated otherwise in the phrase. As used herein, "comprises" and/or "comprising" refers to the presence of one or more other components, steps, operations and/or elements mentioned. or addition is not excluded.

Unless otherwise defined, all terms (including technical and scientific terms) used herein may be used with the meaning commonly understood by those of ordinary skill in the art to which the present invention belongs. In addition, terms defined in a commonly used dictionary are not to be interpreted ideally or excessively unless specifically defined explicitly.

Hereinafter, preferred embodiments of the present invention will be described in more detail with reference to the accompanying drawings. The same reference numerals are used for the same components in the drawings, and repeated descriptions of the same components are omitted.

Embodiments of the present invention measure the weight (or body weight) of companion animals as well as body mass index (BMI) or obesity and the degree of patellar dislocation using a smart weight device, thereby facilitating the companion animal's weight and patellar dislocation. Its gist is to manage it properly.

At this time, the present invention measures the pressure value of each leg when measuring the weight of the companion animal using a pressure measuring sensor provided in the body weight device or scale, and calculates the pressure distribution and stride value of the hind leg using the measured pressure value. By estimating, the degree of patellar dislocation of companion animals can be diagnosed.

At this time, the present invention measures the leg position of the companion animal using an infrared (IR) multi-sensor provided in the body weight device to detect the stride length, position, and height length of the hind leg, and reflects the detected information. Therefore, it is also possible to measure the degree of body mass index (BMI) or obesity and patellar dislocation of companion animals.

Companion animals in the present invention may include all kinds of companion animals related to patellar dislocation as well as cats and dogs.

Furthermore, the present invention measures the weight and the degree of patellar dislocation, and analyzes the effect of the patellar dislocation on the body weight based on the measured information, and based on the analyzed information, a user raising a companion animal manages the weight of the companion animal. can be facilitated, and patellar dislocation can be easily managed. Of course, the present invention can manage such information or history through the application of the present invention installed in the user terminal, and the application can store information about the companion animal including the type, age, gender, etc. of the companion animal, The weight, BMI, and degree of dislocation of the patella measured by the device of the present invention can be managed as a history according to time or date, and information on history analysis can also be managed.

The present invention will be described with reference to FIGS. 1 to 6 as follows.

1 shows an exemplary view of a system including a smart weight device of the present invention.

Referring to FIG. 1 , a system, for example, a companion animal management system, includes a smart weight device 100 , a smart tableware device 200 , and a user terminal 300 .

The smart weight device 100 , the smart tableware device 200 , and the user terminal 300 may be connected and communicate through the network 400 using a wireless or wired communication method. At this time, the communication method is not limited, and short-distance wireless communication between devices as well as a communication method using a communication network (eg, mobile communication network, wired Internet, wireless Internet, broadcasting network) that the network 400 may include may also be included. can For example, the network 400 may include a personal area network (PAN), a local area network (LAN), a campus area network (CAN), a metropolitan area network (MAN), a wide area network (WAN), a broadband network (BBN), may include any one or more of networks such as the Internet. In addition, the network 400 may include any one or more of a network topology including a bus network, a star network, a ring network, a mesh network, a star-bus network, a tree or a hierarchical network, etc. not limited

The smart tableware device 200 is a tableware containing feed for the companion animal 110, and a means for measuring the amount of feed, for example, a weight sensor, etc., is provided to measure the amount of feed contained in the tableware. and whether the measured amount of feed is small, large, or appropriate compared to a preset reference amount of feed, it is possible to inform the user through a display.

Here, the smart tableware device 200 may inform the user of the amount of feed put into the tableware through the display color of a display means such as an LED.

The smart tableware device 200 receives and stores data on an appropriate amount of feed for the companion animal 110 received from the user terminal 300 through communication with the user terminal 300 , and stores the appropriate amount of feed and It is possible to compare the calculated feed amount measured by the sensor.

Furthermore, the smart tableware device 200 checks the change in the amount of feed over time based on the time when the feed is put in the tableware and the companion animal 110 starts to eat the feed, and the feed converted over time. Based on the information on the amount, information on whether the meal time of the companion animal 110 is fast or slow, or whether or not the food is left over, may be transmitted to the user terminal 300 in real time.

For example, the smart tableware device 200 may detect a point in time when there is no change in the amount of feed from the point in time when the companion animal 110 eats the feed, for example, when all the feed in the tableware is eaten or after the companion animal eats a certain feed. By transmitting information on the change in the amount of feed according to the time until the time of stopping eating to the user terminal 300 , the user terminal 300 may analyze and manage the meal speed, calories, etc. of the companion animal based on this information. Of course, the user terminal 300 provides information on the feed, for example, information on ingredients and calories of the feed, and information on the companion animal 110, for example, the type of companion animal (cat, dog, etc.), gender, and age. , information on whether or not to be neutered can be stored in advance, and information such as an increase or decrease in the amount of food according to the change in the weight of the companion animal 110 can be provided to the user based on the stored information, and a method of adjusting the speed of a meal and the like may be provided to the user.

The smart dish device 200 may include a communication module, for example, a Bluetooth communication module, for transmitting and receiving data to and from the user terminal 300, and a water dispenser for providing moisture such as water to companion animals according to circumstances. may further include.

The smart weight device 100 is a device to be provided by the present invention, and measures information on the weight (or weight) of the companion animal 110 as well as the BMI (or obesity level) of the companion animal and the degree of patellar dislocation, and thus measures transmitted information to the user terminal.

Here, the smart weight device 100 measures the weight or body weight of the companion animal 110 using a weight sensor, and at the same time, the legs of the companion animal 110 using a pressure sensor configured in an array structure or grid form. After measuring the pressure for each, the BMI and the degree of patellar dislocation can be measured using the measured weight and the pressure value of each leg.

Specifically, the smart body weight device 100 detects the position of each of the legs on the device based on the measured pressure value of each of the legs, estimates the height of the companion animal through the detected position, and thus estimated The BMI of the companion animal 110 can be measured by using the height and weight, and the pressure distribution of the hind legs and the stride value of the hind legs are measured based on the pressure value, and the companion animal 110 using the pressure distribution and the stride value measured in this way The degree of patellar dislocation of the animal 110 may be measured or estimated.

Here, the smart weight device 100 may store information on the companion animal 110 in advance, and reflect the stored information on the companion animal in measuring the BMI and the degree of patellar dislocation, and the pressure distribution of the hind legs and The degree of patellar dislocation estimated according to the stride value may also be estimated based on a preset equation or data to determine the degree of patellar dislocation. Of course, the degree of dislocation of the patella may vary depending on the type of companion animal, height, age, sex, pregnancy, etc., and by reflecting this information, the degree of dislocation of the patella of a companion animal can be estimated.

If necessary, the smart weight apparatus 100 may include a photographing means for photographing a shape such as a height length or a belly sagging of the companion animal 110 mounted on the apparatus to measure the weight. After the captured image is image-processed in real time, it is possible to estimate the shape of the length of the kidney and the degree of sagging of the stomach through the analysis of the image recognition result. Here, the smart weight device 100 may include a depth camera to measure the shape of the stomach sagging degree, and includes two cameras, a camera for measuring the height of the body and a depth camera for measuring the degree of belly sagging. You may. Of course, the photographing means may not be provided, and such a configuration means may be determined by a business operator or an individual providing the technology of the present invention.

As described above, when a camera is provided, the smart weight device 100 estimates the final height of the companion animal 110 by using the height estimated by the camera and the height measured by the pressure measurement value, Using the estimated height and measured weight, the companion animal's BMI and obesity can be measured. Here, the smart weight device 100 may estimate the final height length through the average after multiplying the height length measured by the pressure measurement value and the height length estimated through image recognition by a preset weight, and increase the recognition accuracy. For this purpose, each weight may be set differently.

The analyzed image may be used to calculate the degree of obesity of the companion animal 110 , which will be described with reference to FIG. 3 .

In addition, the smart weight device 100 measures the leg position of the companion animal through IR multi-touch sensor technology using the light-emitting means array and the light-receiving means array constituting the IR multi-sensor when the IR multi-sensor is provided. The stride length, position, and height can be detected, and the detected information can be additionally reflected to measure the companion animal's body mass index (BMI) or degree of obesity and patellar dislocation. For example, as shown in FIG. 6 , light is transmitted from the light-emitting means array of the IR multi-sensor provided in the smart body weight device 100 , and light is received from the light-receiving device array, and is positioned on the smart body weight device 100 . By detecting the animal's leg position, it is possible to measure the companion animal's height and hind leg stride length and position, and by additionally reflecting the measured information, the companion animal's BMI, obesity degree and degree of patellar dislocation can be measured more accurately. can be measured

In addition, the smart weight apparatus 100 may include a communication module for transmitting and receiving data to and from the user terminal 300 .

The user terminal 300 is a terminal on which the software or application of the present invention is installed, and may include a mobile terminal including a touch screen for a user's touch input. For example, the user terminal may include any terminal capable of performing a smart mobility providing service, such as a smart phone, a mobile phone, a computer, a VR device, an AR device, and the like.

The user terminal 300 may transmit and receive data through communication with the smart tableware device 200 and the smart weight device 100 , and manage the companion animal 1100 through analysis of the received data.

For example, the user terminal 300 transmits information on the appropriate amount of feed for the companion animal 110 to the smart dish device 200 , and provides information on changes in the amount of feed measured over time from the smart dish device 200 . By receiving information and analyzing the change in the amount of feed over time, it is possible to analyze the meal speed of the companion animal 110, the amount of calories consumed, and the like, and by managing this history according to the date, it is easy to change the companion animal can be confirmed Here, the user terminal 300 may provide the user with the data analysis result according to the companion animal's feed intake, and may provide the user with information about this only when it deviates from a preset standard.

As another example, the user terminal 300 may transmit information about the companion animal, information for measuring BMI or obesity to the smart weight device 100 , and the weight and legs of the companion animal from the smart weight device 100 . It is also possible to receive information on each of the pressure measurement values, the degree of patellar dislocation, the length of the kidney, and a photographed image, and estimate the BMI or obesity degree of the companion animal after receiving only the weight and pressure measurement values and images measured according to the situation. The degree of patellar dislocation can also be estimated. That is, the present invention may estimate or measure the degree of BMI or obesity and patellar dislocation in the smart weight device 100, but is not limited thereto, and data for estimating or measuring BMI or obesity and further degree of patellar dislocation, After receiving the weight data, pressure measurement data, etc. from the user terminal 300 , the user terminal 300 may estimate the BMI, obesity degree, and degree of dislocation of the patella of the companion animal.

The above-described method of estimating the obesity degree of a companion animal is described with reference to FIG. 3 , in the case of a companion animal, for example, a dog, through the image recognition result according to the need for the pressure value of each of the legs measured by the smart weight device 100 . Estimate the length from the sternum to the ischial process (L1), the length from the top of the scapula to the tail (L2), and the length from the top of the scapula to the top of the ilium (L3), and the estimated L1 to L3 Using the weight, you can estimate the degree of obesity of your companion animal. Here, the method of estimating the degree of obesity using L1 to L3 and weight can be estimated through the correlation between each of L1 to L3 and weight. is omitted.

In addition, although not shown in FIG. 1, depending on circumstances, the companion animal may attach a sensor for collecting information related to the movement of the companion animal, and the type of sensor attached to the companion animal may vary depending on the information to be collected. , one or more sensors may be attached. Of course, such a sensor may transmit collected or sensed data to at least one of a smart tableware device, a smart weight device, and a user terminal.

2 is a diagram showing the configuration of a smart weight device according to an embodiment of the present invention.

Referring to FIG. 2 , the smart weight device 100 according to an embodiment of the present invention includes a weight measurement unit 210 , a pressure measurement unit 220 , an image capture unit 230 , a control unit 2410 , and a communication module 250 . ) and a database (DB) 260 .

The DB 260 stores algorithms and data related to the present invention, for example, information on companion animals (eg, gender, pregnancy status, age, type information of cats or dogs, etc.), according to time History information such as the companion animal's weight, BMI, and obesity degree, the degree of patellar dislocation, and analysis information on the degree of patellar dislocation according to the weight or obesity degree, etc. may be stored. Of course, the DB is not limited to the above-mentioned information, and the amount of meals, meal speed, amount of calories consumed, feed information (eg, ingredients, calorie level, etc.) according to the time of the companion animal, and further, diet mode information to provide to the user , mode information related to meal speed control, and the like may be stored.

The weight measurement unit 210 measures the weight or weight of the companion animal using a weight measurement means, for example, a weight measurement sensor.

The pressure measuring unit 220 measures the pressure values of the legs of the companion animal, that is, the front legs and the hind legs, by using a pressure sensor provided in a panel on which the companion animal is placed to measure the weight of the companion animal.

Here, the pressure measuring unit 220 may measure the pressure value for each of the legs of the companion animal by using a pressure measuring sensor having a grid shape or an array structure, and set the position of the pressure measuring sensor in the device in advance. Therefore, the position of each leg can be known through the measured pressure value. For example, the pressure measuring unit may measure the pressure value of each leg of the companion animal by measuring the variable resistance value of each of the variable resistors.

The image capturing unit 230 captures an image of a companion animal mounted on the device, and the image capturing unit 230 may not be provided depending on circumstances.

Here, the image capturing unit 230 may include a general camera or a depth camera, and the position of the camera may vary depending on a region to be photographed. For example, the depth camera may be disposed at a position for capturing a depth image of the belly portion of the companion animal, and the general camera may be disposed at a position for capturing an image for estimating the height of the companion animal.

Although not shown, when the smart weight device 100 is equipped with an IR multi-sensor, the leg position of the companion animal is measured through the IR multi-touch sensor technology using the light-emitting means array and the light-receiving means array constituting the IR multi-sensor. By doing so, it is possible to detect the stride length, position and elongation length of the hind leg.

The controller 240 detects the position of each of the legs based on the pressure value measured for each of the legs, measures the BMI of the companion animal based on the measured weight and the position detected for each of the legs, and measures Information on the measured BMI and measured weight is provided to the user terminal through the communication module.

In this case, the controller 240 may estimate the height of the companion animal based on the detected positions of each of the legs, and measure the BMI of the companion animal using the estimated height and the measured weight.

In measuring the BMI, the controller 240 may reflect the image recognition result or the measurement result by the IR multi-sensor, for example, through image recognition of the companion animal photographed by the image capturing unit 230 . You can estimate the height of the companion animal or estimate the height of the companion animal by using the IR multi-touch sensor technology using the IR multi-sensor, and measure the companion animal's BMI by reflecting the estimated height of the companion animal. Depending on the situation, if the image capturing unit 230 is equipped with a depth camera, the control unit 240 determines the shape of the companion animal including the belly of the companion animal, for example, the degree of belly sagging through image recognition captured by the depth camera. It can recognize the companion animal and measure the companion animal's BMI by reflecting the companion animal's shape. Of course, even at this time, information on the companion animal may be additionally reflected.

Furthermore, the controller 240 may measure the degree of patellar dislocation of the companion animal based on the detected position and the measured pressure value for each of the legs, and may provide the measured degree of patellar dislocation to the user terminal.

At this time, the controller 240 measures the pressure distribution in the hind legs and the stride length of the hind legs of the companion animal based on the detected positions and the measured pressure values for each of the legs, and the measured pressure in the hind legs Using the distribution and the stride value of the hind leg, the degree of patellar dislocation can be measured, for example, the degree of patellar dislocation of ① to ⑤ shown in FIG. 4 . Of course, the degree of patellar dislocation shown in FIG. 4 is only an example, and the degree of patellar dislocation according to the pressure distribution and stride value may vary depending on the situation, and the pressure distribution of the front leg may be referred to, and the type and age of the companion animal , gender, pregnancy status, neutering status, etc., the degree may vary.

The communication module 250 is a communication means for transmitting and receiving data with at least one sensor attached to the companion animal, at least one of a smart dish device, and a user terminal.

As such, the smart weight device according to an embodiment of the present invention measures the weight (or weight) of the companion animal as well as the BMI or obesity degree and the degree of patellar dislocation, and through this, the companion animal's weight and patellar dislocation can be easily managed. have.

In addition, the smart weight device according to an embodiment of the present invention uses a pressure sensor to measure the pressure value of each leg when measuring the weight of a companion animal, and calculates the pressure distribution and stride value of the hind leg using the measured pressure value. By estimating, the degree of patellar dislocation of companion animals can be diagnosed.

In addition, the smart weight device according to an embodiment of the present invention measures the body weight and the degree of dislocation of the patellar pole, and analyzes the effect of dislocation of the patella on the body weight based on the measured information, and based on the analyzed information, the companion animal The owner can easily manage the weight of the companion animal, and can easily manage the dislocation of the patella. Of course, the present invention can manage such information or history through the application of the present invention installed in the user terminal, and the application can store information about the companion animal including the type, age, gender, etc. of the companion animal, The weight, BMI, and degree of dislocation of the patella measured by the device of the present invention can be managed as a history according to time or date, and information on history analysis can also be managed.

5 is a flowchart illustrating an operation of a companion animal management method according to an embodiment of the present invention, and is a flowchart illustrating an operation in the apparatus of FIGS. 1 to 4 .

Referring to FIG. 5 , in the method according to an embodiment of the present invention, the weight of the companion animal is measured using a weight sensor, and when the weight of the companion animal is measured, the weight of the companion animal is generated by each of the legs of the companion animal using the pressure sensor. to measure the pressure (S510).

When the pressure value of each of the legs is measured by step S510, the position of each of the legs is detected based on the pressure value measured for each of the legs, and the measured weight, the position detected for each of the legs, and the legs Based on each pressure value, the BMI and the degree of patellar dislocation of the companion animal are measured (S520, S530).

Here, in step S530, the height of the companion animal may be estimated based on the detected positions for each of the legs, and the BMI of the companion animal may be measured using the estimated height and the measured weight. Based on the detected position and the measured pressure value, the pressure distribution on the hind leg of the companion animal and the stride value of the hind leg are measured, and the patellar dislocation is performed using the measured pressure distribution on the hind leg and the stride value of the hind leg. degree can be measured.

Furthermore, in step S530, when the image of the companion animal is captured by the image capturing means, the height length of the companion animal is estimated through image recognition of the companion animal, and the BMI of the companion animal is calculated by reflecting the estimated height length of the companion animal. If a depth camera is provided, the shape of the companion animal including the belly of the companion animal is recognized through image recognition taken by the depth camera, for example, the degree of sagging of the stomach is recognized, and the shape of the companion animal is reflected. You can also measure your pet's BMI.

When the BMI and degree of dislocation of the patella of the companion animal are measured by step S530, the weight, BMI, and degree of dislocation of the patella measured in step S510 are provided to the user, for example, the user terminal (S540).

Although the description of the method of FIG. 5 is omitted, the method of FIG. 5 may include all the contents described in the apparatus or system of FIGS. 1 to 4 and 6 , which would be appreciated by those skilled in the art self-evident

The device described above may be implemented as a hardware component, a software component, and/or a combination of the hardware component and the software component. For example, the apparatus and components described in the embodiments may include a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA), and a programmable logic unit (PLU). It may be implemented using one or more general purpose or special purpose computers, such as a logic unit, microprocessor, or any other device capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications executed on the operating system. A processing device may also access, store, manipulate, process, and generate data in response to execution of the software. For convenience of understanding, although one processing device is sometimes described as being used, one of ordinary skill in the art will recognize that the processing device includes a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that can include For example, the processing device may include a plurality of processors or one processor and one controller. Other processing configurations are also possible, such as parallel processors.

Software may comprise a computer program, code, instructions, or a combination of one or more thereof, which configures a processing device to operate as desired or is independently or collectively processed You can command the device. The software and/or data may be any kind of machine, component, physical device, virtual equipment, computer storage medium or apparatus, to be interpreted by or to provide instructions or data to the processing device. can be embodied in The software may be distributed over networked computer systems and stored or executed in a distributed manner. Software and data may be stored in one or more computer-readable recording media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. In this case, the medium may be to continuously store a program executable by a computer, or to temporarily store it for execution or download. In addition, the medium may be various recording means or storage means in the form of a single or several hardware combined, it is not limited to a medium directly connected to any computer system, and may exist distributedly on a network. Examples of the medium include a hard disk, a magnetic medium such as a floppy disk and a magnetic tape, an optical recording medium such as CD-ROM and DVD, a magneto-optical medium such as a floppy disk, and those configured to store program instructions, including ROM, RAM, flash memory, and the like. In addition, examples of other media may include recording media or storage media managed by an app store for distributing applications, sites supplying or distributing other various software, and servers.

As described above, although the embodiments have been described with reference to the limited embodiments and drawings, various modifications and variations are possible from the above description by those skilled in the art. For example, the described techniques are performed in an order different from the described method, and/or the described components of the system, structure, apparatus, circuit, etc. are combined or combined in a different form than the described method, or other components Or substituted or substituted by equivalents may achieve an appropriate result.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

Claims (14)

A smart weight device having a weight sensor and a pressure sensor, the smart weight device comprising:
Weighing unit for measuring the weight of the companion animal;
a pressure measuring unit configured to measure pressure generated by each of the legs of the companion animal when the companion animal is weighed; and
the position of each of the legs is detected based on the pressure values measured for each of the legs, and the body mass index (BMI) of the companion animal based on the measured weight and the position detected for each of the legs; body mass index), comprising a control unit for providing information on the measured body mass index and the measured weight,
The smart weight device
a photographing means for photographing the image of the companion animal; and
Further comprising an infrared multi-sensor including a light-emitting means array and a light-receiving means array,
the control unit
The height is estimated due to image recognition of the companion animal photographed by the photographing means and the position of each leg of the companion animal detected through the infrared multi-sensor, and the estimated height length and the measured weight are used to measure the body mass index or obesity degree of the companion animal,
The photographing means includes a depth camera,
the control unit
Recognizing the shape of the companion animal including the belly of the companion animal through image recognition captured by the depth camera, and measuring the body mass index of the companion animal by reflecting the shape of the companion animal , smart weight device.
According to claim 1,
the control unit
The smart weight device according to claim 1, wherein the degree of patellar dislocation of the companion animal is measured based on the detected position of each of the legs and the measured pressure value, and the measured degree of patellar dislocation is provided.
delete 3. The method of claim 2,
the control unit
Based on the detected position and the measured pressure value for each of the legs, the pressure distribution in the hind legs and the stride value of the hind legs of the companion animal are measured, and the measured pressure distribution in the hind legs and the hind legs are measured. A smart weight device, characterized in that the degree of patellar dislocation is measured using the stride value of
delete delete delete A method for managing companion animals using a smart weight device having a weight sensor and a pressure sensor, the method comprising:
The weight measurement unit and pressure measurement unit of the smart weight device measure the weight of the companion animal using the weight measurement sensor, and when the companion animal is weighed, the legs of the companion animal are measured using the pressure measurement sensor. measuring the pressure generated by each;
detecting, by the controller of the smart weight device, the position of each of the legs based on the pressure values measured for each of the legs;
measuring, by the controller, a body mass index (BMI) of the companion animal based on the measured weight and positions detected for each of the legs; and
Comprising the step of providing, by the control unit, information on the measured body mass index and the measured weight,
The smart weight device
a photographing means for photographing the image of the companion animal; and
Further comprising an infrared multi-sensor including a light-emitting means array and a light-receiving means array,
The step of measuring the body mass index
The height is estimated due to image recognition of the companion animal photographed by the photographing means and the position of each leg of the companion animal detected through the infrared multi-sensor, and the estimated height length and the measured weight are used to measure the body mass index or obesity of the companion animal,
The photographing means includes a depth camera,
The step of measuring the body mass index
Recognizing the shape of the companion animal including the belly of the companion animal through image recognition captured by the depth camera, and measuring the body mass index of the companion animal by reflecting the shape of the companion animal , how to care for pets.
9. The method of claim 8,
Measuring the degree of patellar dislocation of the companion animal based on the detected position for each of the legs and the measured pressure value
further comprising,
The step of providing
Companion animal management method, characterized in that providing the measured degree of patellar dislocation.
delete 10. The method of claim 9,
The step of measuring the degree of dislocation of the patellar
Based on the detected position and the measured pressure value for each of the legs, the pressure distribution in the hind legs and the stride value of the hind legs of the companion animal are measured, and the measured pressure distribution in the hind legs and the hind legs are measured. A companion animal management method, characterized in that the degree of patellar dislocation is measured using the stride value of .
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