WO2024038313A1 - Animal care management system and method thereof - Google Patents

Abstract

A system (100) for animal care management system and method thereof is provided. The system includes a processing subsystem (102) and a wearable collar band (120). The processing subsystem is hosted on a server (104) and configured to execute on a network to control bidirectional communications among a plurality of modules. The processing subsystem includes an animal information receiving module (106) configured to receive at least one animal profile pertaining to a domesticated animal from a user via a user device (108), an animal information prediction module (110) operatively coupled to the animal information receiving module, and an animal matching module (116) operatively coupled to the animal information prediction module. The wearable collar band is operatively coupled to the server (104). The wearable collar band includes a location tracking unit (122) and an audio-visual indication unit (124) which sends audio and visual alerts to notify the user.

Description

ANIMAL CARE MANAGEMENT SYSTEM AND METHOD THEREOF

EARLIEST PRIORITY DATE

This Application claims priority from a Complete patent application filed in India having Patent Application No. 202221046651, filed on August 17, 2022, and titled “ANIMAL CARE MANAGEMENT SYSTEM AND METHOD THEREOF”

FIELD OF INVENTION

Embodiments of a present disclosure relate to the field of veterinary and more particularly to an animal care management system and a method thereof.

BACKGROUND

Health is a state of complete mental, physical, and social well-being of living beings. Various living beings in day-to-day life deal with different kinds of health problems. In animals, among various living beings, due to their different anatomy, their food requirement is different thus, health problems are also different. The lifespan of animals is different, depending on the animal types, bad health condition of the animals can lead to a lot of adverse effects on human health. Animal care management is thus important as there are millions of animals around the world suffering from improper care while being used in entertainment, food, medicine, fashion, scientific advancement, and as exotic pets.

Every living being has the right to a good life in all areas. This includes animals’ physical health and mental health. The physical health issues include regular grooming of pets, veterinary treatment on regular basis, and the like. Again, the mental health of the animal is related to the environment where the animal lives. Also, the mental health may be dependent on some hormonal changes which may occur with the growing age of the animal which includes timely mating of animals. In animal mating, especially in the case of pets, animal selection for mating is one of the major problems for pet owners. Many times, it is difficult for the pet owner to find the same or similar breed for breeding, and sometimes they have to compromise on the breed of pet with which their respective pet mates, or they may spay (surgery for removing reproductive organs) the pets which are not good for pet’s biological cycle, physical and mental well-being.

Although traditional methods which exist are capable of solving breeding related issues of the pet animals, these techniques involve manual intervention and are inefficient. The traditional methods of selecting mates for breeding domestic animals are time-consuming and risky as in many cases it is difficult to diagnose health problems persisting with the animals as limited information is available. As a result, for the breeding purpose, finding a suitable, healthy mate for the animal is one of the major problems. Also, finding medical help on regular basis and finding a place for the grooming of animals is a tough task, especially for the people who have moved to new living areas with their pets/animals. Several street animals also need help in accidental conditions as they do not have proper caretakers, pet owners prefer to adopt street dogs or cats, but due to a lack of adequate information about such animals, the pet owners are unable to adopt the street animals.

Hence, there is a need for an improved animal health care and management system and a method thereof that addresses the aforementioned issues.

BRIEF DESCRIPTION

In accordance with one embodiment of the disclosure, an animal care management system is disclosed. The system includes a processing subsystem and a wearable collar band. The processing subsystem is hosted on a server and configured to execute on a network to control bidirectional communications among a plurality of modules. The processing subsystem includes an animal information receiving module, an animal information prediction module, and an animal matching module. The animal information receiving module is configured to receive at least one animal profile pertaining to a domesticated animal from a user via a user device. The animal information prediction module is operatively coupled to the animal information receiving module. The animal information prediction module is configured to compare the at least one animal profile received with a comparative animal profile dataset prestored in an animal information database. Also, the animal information prediction module is configured to predict animal information based on a comparison of the at least one animal profile received with the comparative animal profile dataset. The animal matching module is operatively coupled to the animal information prediction module. The animal matching module is configured to match the predicted animal information with existing animal information of a corresponding breed. The existing animal information is received from a plurality of animal owners. The animal matching module is configured to display a list of matched animal profiles on a graphical user interface based on matching the predicted animal information with the existing animal information. Also, the animal matching module is configured to enable the user to select at least one matched animal profile pertaining to the domesticated animal from the list of matched animal profiles displayed for one or more purposes.

The wearable collar band is operatively coupled to the server. The wearable collar band includes a location tracking unit and an audio-visual indication unit. The location tracking unit is configured to track location of the domesticated animal within a predefined location range in real-time. The audio-visual indication unit is operatively coupled with the location tracking unit. The audio-visual indication unit is configured to emit light upon tracking the location of the domesticated animal thereby enabling the user in identifying the domesticated animal. The audio-visual indication unit is configured to send a recorded voice alert to notify the user for rescuing the domesticated animal upon identification of the location of the domesticated animal.

In accordance with another embodiment, a method for animal care management is provided. The method includes receiving, by an animal information receiving module of a processing subsystem, at least one animal profile pertaining to a domesticated animal from a user via a user device. The method also includes comparing, by an animal information prediction module of the processing subsystem, the at least one of the animal profiles received with a comparative animal profile dataset prestored in an animal information database.

Further the method includes, predicting, by the animal information prediction module of the processing subsystem, the animal information based on a comparison of the at least one of the animal profile received with the comparative animal profile dataset. The method also includes matching, by an animal matching module of the processing subsystem, the predicted animal information with existing animal information of a corresponding breed, wherein the existing animal information is received from a plurality of animal owners. Furthermore, the method also includes displaying, by the animal matching module of the processing subsystem, a list of matched animal profiles on a graphical user interface based on a matching of predicted animal information with the existing animal information. Furthermore, the method also includes, enabling, by the animal matching module of the processing subsystem, the user to select at least one matched animal profile pertaining to the domesticated animal from the list of the matched animal profiles displayed for one or more purposes. Furthermore, the method also includes, locating, by a locating tracking unit of a wearable collar band, the domesticated animal within a predefined location range in real-time. Furthermore, the method also includes, emitting, by an audio-visual indication unit of the wearable collar band, light upon tracking the location of the domesticated animal thereby enabling the user in identifying the domesticated animal. Furthermore, the method also includes, sending, by the audio-visual indication unit of the wearable collar band, a recorded voice alert to notify the user in rescuing the domesticated animal upon identification of the location of the domesticated animal.

To further clarify the advantages and features of the present disclosure, a more particular description of the disclosure will follow by reference to specific embodiments thereof, which are illustrated in the appended figures. It is to be appreciated that these figures depict only typical embodiments of the disclosure and are therefore not to be considered limiting in scope. The disclosure will be described and explained with additional specificity and detail with the appended figures. BRIEF DESCRIPTION OF THE DRAWINGS

The disclosure will be described and explained with additional specificity and detail with the accompanying figures in which:

FIG. 1 is a block diagram representing an animal care management system in accordance with an embodiment of the present disclosure;

FIG. 2 is a block diagram representing another embodiment of the animal care management system of FIG. 1 in accordance with an embodiment of the present disclosure;

FIG. 3 is a block diagram representing an exemplary embodiment of the animal care management system of FIG. 1 in accordance with an embodiment of the present disclosure;

FIG. 4 is a block diagram of a computer or a server for the animal care management system in accordance with an embodiment of the present disclosure; and

FIG. 5 (a) and FIG. 5 (b) are flow charts representing steps involved in a method for the operation of the animal care management system.

Further, those skilled in the art will appreciate that elements in the figures are illustrated for simplicity and may not have necessarily been drawn to scale. Furthermore, in terms of the construction of the device, one or more components of the device may have been represented in the figures by conventional symbols, and the figures may show only those specific details that are pertinent to understanding the embodiments of the present disclosure so as not to obscure the figures with details that will be readily apparent to those skilled in the art having the benefit of the description herein.

DETAIEED DESCRIPTION

For the purpose of promoting an understanding of the principles of the disclosure, reference will now be made to the embodiment illustrated in the figures and specific language will be used to describe them. It will nevertheless be understood that no limitation of the scope of the disclosure is thereby intended. Such alterations and further modifications in the illustrated system, and such further applications of the principles of the disclosure as would normally occur to those skilled in the art are to be construed as being within the scope of the present disclosure.

The terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process or method that comprises a list of steps does not include only those steps but may include other steps not expressly listed or inherent to such a process or method. Similarly, one or more devices or sub-systems or elements or structures or components preceded by "comprises... a" does not, without more constraints, preclude the existence of other devices, sub-systems, elements, structures, components, additional devices, additional sub-systems, additional elements, additional structures, or additional components. Appearances of the phrase "in an embodiment", "in another embodiment" and similar language throughout this specification may, but not necessarily do, all refer to the same embodiment.

Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this disclosure belongs. The system, methods, and examples provided herein are only illustrative and not intended to be limiting.

In the following specification and the claims, reference will be made to a number of terms, which shall be defined to have the following meanings. The singular forms “a”, “an”, and “the” include plural references unless the context clearly dictates otherwise.

Embodiments of the present disclosure relate to an animal care management system and method thereof. As used herein, the term “animal care management” denotes the management of animal health, animal welfare, and animal nursing. Further, the system described hereafter in FIG. 1 is an animal care management system and method thereof.

FIG. 1 is a block diagram representing a system (100) for animal care and management in accordance with an embodiment of the present disclosure. The system (100) includes a processing subsystem (102) and a wearable collar band (120).

The processing subsystem (102) is hosted on a server (104) and configured to execute on a network to control bidirectional communications among a plurality of modules. The processing subsystem (102) includes an animal information receiving module (106), an animal information prediction module (110), and an animal matching module (116). In one embodiment, the server (104) may include a cloud server. In another embodiment, the server (104) may include a local server. The processing subsystem (102) is configured to execute on a network (not shown in FIG. 1) to control bidirectional communications among a plurality of modules. In one embodiment, the network may include a wired network such as local area network (LAN). In another embodiment, the network may include a wireless network such as Wi-Fi, Bluetooth, Zigbee, near field communication (NFC), infrared communication (RFID), or the like.

The animal information receiving module (106) is configured to receive at least one animal profile pertaining to a domesticated animal from a user via a user device (108). In one embodiment, the received animal profile has a feature of the animal. The feature is obtained by an image or a video of the animal. In such an embodiment, the user is able to manually enter the details of the animal profile. Further in another embodiment, the details of the animal profile are detected automatically. The animal information prediction module (110) is operatively coupled to the animal information receiving module (106). The animal information prediction module (110) is configured to compare the at least one animal profile received with a comparative animal profile dataset (112) which is prestored in an animal information database (114). As used herein, the term ‘comparative dataset (112)’ is defined as, a dataset that does a comparative analysis of data by evaluating the consistency of datasets and by comparing values stored in the dataset with new values. Also, the animal information prediction module (110) is configured to predict animal information based on a comparison of the at least one animal profile received with the comparative animal profile dataset (112). In one embodiment, the animal information prediction module (110) predicts the age, breed, and other parameters of the animal related to the mating of the animal.

The animal matching module (116) is operatively coupled to the animal information prediction module (110). The animal matching module (116) is configured to match the predicted animal information with existing animal information of a corresponding breed. The existing animal information is received from a plurality of animal owners. Also, the animal matching module (116) is configured to display a list of matched animal profiles on a graphical user interface (118) based on matching of the predicted animal information with the existing animal information. The animal matching module (116) is further configured to enable the user to select at least one matched animal profile pertaining to the domesticated animal from the list of matched animal profiles displayed for one or more purposes. The user may apply a filter to the animal profiles on the basis of gender, hair colour, breed, vaccination status, and deworming status among other animals provided. In case of a match. The system (100) allows the users to exchange messages and connect for the next steps of mating.

The wearable collar band (120) is operatively coupled with the server (104). The wearable collar band (120) includes a location tracking unit (122) and an audiovisual indication unit (124). The location tracking unit (122) is configured to track location of the domesticated animal within a predefined location range in real-time. The audio-visual indication unit (124) is operatively coupled with the location tracking unit (122). The audio- visual indication unit (124) is configured to emit light upon tracking the location of the domesticated animal thereby enabling the user in identifying the domesticated animal. Also, the audio-visual indication unit (124) is configured to send a recorded voice alert to notify the user for rescuing the domesticated animal upon identification of the location of the domesticated animal. In one embodiment, the wearable collar band (120) is skin-friendly and adjustable in size. In one embodiment, the location tracking module (122) tracks the location of the domesticated animal within a predefined range which is set by the user. In such an embodiment, the location tracking module (122) uses a global positioning system for tracking the location of lost domesticated animals. The range defined by the user may be a particular distance from the user or a particular distance from the house of the user. In one embodiment, when the domesticated animal is lost within a predefined distance, the location tracking module (122) tracks the location of the animal and enables the user to activate the audio-visual indication unit (124). The audio-visual indication unit (124) then enables the wearable collar band (120) to emit light and send a recorded voice alert through the wearable collar band (120). In one embodiment, the recorded voice alert may be a recorded voice message which may contain the name of the animal, name, address, and contact number of the owner of the animal. The voice message when heard by a helper, may help the animal to be found by the animal’s owner. In one embodiment, the technologies used in the wearable collar band (120) may be but are not limited to a Python-based free and open-source web framework for the backend, an open-source UI software development kit for the front end, an open-source, cross-platform, back-end JavaScript runtime environment that runs on the V8 engine and executes JavaScript code outside a web browser for chat backend and for chat database, a source- available cross-platform document-oriented database program may be used. In such an embodiment, the wearable collar band (120) comprises a network chip.

FIG. 2 is a block diagram representing another embodiment of the system (100) for animal care and management of FIG. 1 in accordance with an embodiment of the present disclosure. The system (100) includes a processing subsystem (102) and a wearable collar band (120). The processing subsystem (102) includes an animal information receiving module (106), an animal information prediction module (110), and an animal matching module (116). In one embodiment, the processing subsystem (102) also includes a veterinary service module (128), a grooming service recommendation module (132), and an animal adoption module (134). The veterinary service module (128) enables the user to search for one or more veterinary doctors in proximity to the location of the domesticated animal for getting medical assistance. In one embodiment, the veterinary service module (128) provides a list of nearby veterinary doctors who are registered in the system (100). In such an embodiment, the user is able to contact the veterinary doctors via call, message, or any other means of communication. The veterinary service module (128) provides options for people, to schedule veterinary treatments and plan for the same. In such an embodiment, the processing subsystem (102) includes a symptom search module (130). The symptom search module (130) is configured to collect symptoms of the disease of the animal and suggest remedies for each disease depending upon the breed of the animal. The user may also select a particular breed and search for remedies for the symptoms of the disease. In another embodiment, the symptom search module (130) suggests a list of nearby veterinary doctors that are specialized for the treatment of the symptoms collected.

In one embodiment, the grooming service recommendation module (132) is configured to recommend one or more animal salons to the user for acquiring grooming services for the domesticated animal based on the predicted animal information. In such an embodiment, the grooming service recommendation module (132) provides a list of nearby animal grooming salons which are registered in the system (100). Further in one embodiment, the grooming service may include hair cutting, teeth brushing, bathing, and the like. Also in one embodiment, the grooming service recommendation provides a day-care centre for pets. In one embodiment, the animal adoption module (134) is configured to enable a plurality of users to adopt the domesticated animal available at a nearby location corresponding to the plurality of users. The domesticated animals include street dogs, cats, and the like. The user may click a photo of the domesticated animal and send the photo to the contacts or send the photo on the system (100). The registered user may contact the user who has sent the photo for the adoption of the domesticated animal. The animal adoption module (134) provides options for people who are looking to adopt pets, rescue street pets, and manage inventories. In such an embodiment, after adoption, the user may give feedback by a feedback form. In one embodiment, the technologies used in the animal adoption module (134) may be but are not limited to a Python-based free and open-source web framework for the backend, an open- source UI software development kit for the front end, an open-source, cross -platform, back-end JavaScript runtime environment that runs on the V8 engine and executes JavaScript code outside a web browser for chat backend and for chat database, a source-available cross-platform document-oriented database program may be used.

In one embodiment, the animal information receiving module (106), receives the at least one animal profile which is captured by a feature capturing module (126) installed on the user device (108) associated with the user. The animal profile may include images, videos, age, gender, hair color, breed, vaccination status, deworming status, height, and weight of the animal along with the medical history of the animal. The animal profile is created by the user to other pet owners in the vicinity of the user’s choice. In one embodiment, the feature capturing module (126) includes a camera installed on the user device (108). In another embodiment, the user device may be configured with a suitable operating system, such as, but not limited to, Metaverse, Augmented Reality and Virtual Reality (AR-VR), Virtual Reality (VR) platform or a stand-alone operating system. In such an embodiment, the feature capturing module (126) uses an artificial intelligence (Al) -enabled lenses to capture the features of the domesticated animal. The artificial lenses are installed in the cameras called an Al-powered cameras. The Al-powered cameras are the cameras which use an Al program to intelligently deal with the images and videos. Computational photography is the core of the Al-powered camera. The subject of computational photography is generally split into subsets of technology trying to predict, such as feature recognition, computer vision, and machine learning. The Al-powered cameras are used to recognize the animal’s features and predict the animal information relating to the age, breed, and other information of the animal. The Al-powered camera also enables the user to predict the mating period of the animal. In one embodiment, the user can interact with the other animal owners, the veterinary doctors, and other service owners. In one embodiment, the procedure of prediction using an Al-powered lens is: at first, a machine learning model is used to detect the breed of the domesticated animal in the image or video captured by the feature capturing module (126), in the second step scrapping of breed data with multiple images is done, in the third step the Al model is trained to detect breeds of the animal from images in the respective animal profile and generates the animal information displayed as an encyclopedia.

In one embodiment, the wearable collar band (120) is coupled with the processing subsystem (102). In another embodiment, the wearable collar band (120) is operatively coupled with a subsystem (not shown), wherein the subsystem is installed in the server (104). In one embodiment the wearable collar band (120) is mounted over the neck of the domesticated animal. The wearable collar band (120) acts as a guard of the animal. In such an embodiment, the wearable collar band (120) is lightweight. Further, in one embodiment, the material used for the wearable collar band (120) is skin-friendly to the animal. In one embodiment, the recorded voice alerts sent by the audio-visual indication unit (124) may be customizable. In one embodiment, the wearable collar band (120) is configured to have a chip inside the wearable collar band (120) to track the location of the domesticated animal. In such an embodiment, the wearable collar band (120) also includes a sound sensor and other sensors. Further in one embodiment, the wearable collar band (120) includes a microcontroller, a geographical positioning system (GPS), and a network chip. Also, in one embodiment, the wearable collar band (120) includes a python-based opensource web framework that follows the model-template- views architectural patterns, an open-source relational database management system emphasizing extensibility and SQL compliance, and the like. Furthermore, in one embodiment the wearable collar band (120), monitors pet health including step counting, sleep cycle, monitoring of heart rate, and pulse rate and the like. In one embodiment, the system (100) may provide a virtual pet service module (136). The virtual pet service module (136) is configured to enable the user to see a virtual three-dimensional (3D) model and two-dimensional model (2D) compatible with AR-VR operating systems such as Metaverse and the like. This service may be used when the user wants to socialize the pet dog in an AR-VR or VR platform like Metaverse. In another embodiment, the virtual pet service module (136) provides a virtual replica to mimic (for example, mannerism, training, and the like) and is compatible with AR-VR or VR OS like Metaverse. In another scenario, the user doesn’t have a pet, but he may want a feel of having a pet at home. The virtual pet service may use augmented reality (AR)- virtual reality (VR) to create a virtual replica of the pet that mimics mannerisms, sounds, etc. of the user’s pet so that they can interact with the pet. Augmented reality is an interactive experience of a real-world environment where the animals that are in the real world are enhanced by computer-generated perceptual information. The virtual pet service module (136) may also be useful especially when the pet of the user passes away, so that the user may feel the existence of the pet. In one embodiment, the user may have ownership of the virtual pet(s) model. In one embodiment, the virtual pet service module (136) includes technologies like CAD software, a python-based opensource web framework model-template-views architectural pattern, an open- source relational database management system emphasizing extensibility and SQL compliance, and the like. In such other embodiment, the system includes accepting multiple animal profile from one user. The user may be able to create profile for each pet and the first animal may be complimentary, further the user may have to pay for each animal profile. Further in one embodiment, the, the processing subsystem (102) includes a symptom search module (130). The symptom search module (130) is configured to collect symptoms of the disease of the animal and suggest remedies for each disease depending upon the breed of the animal. The user may also select a particular breed and search for remedies for the symptoms of the disease. The module also displays a list of available veterinary doctors nearby who may specialize in treatments of diseases for the particular symptoms or with high reviews of treating the diseases with the symptoms. FIG. 3 is a block diagram representing an exemplary embodiment of the system (100) for animal care and management of FIG. 1 in accordance with an embodiment of the present disclosure. Considering a non-limiting example, wherein a user X is unaware of information related to the user’s pet dog. A user device (108) is associated with the user X. The user X captures the features of a pet dog, by using a camera. The Al lens installed in the user device (108) captures and predicts information about the pet dog. The pet dog’s information is predicted by using the animal information prediction module (110). The pet dog’s information includes the breed, age, and mating time of the pet dog according to the age and gender of the pet dog. The animal information prediction module (110) compares the received pet dog’s profile with the comparative dataset (112) prestored in the animal information database (114). Based on the comparison and the comparative animal profile dataset (112) the pet dog’s information is predicted. According to the pet dog’s information predicted, the animal matching module (116) matches the predicted information with the existing dog’s information of the corresponding breed. The existing animal information is received from other dog owners. The list of the matched pet dog’ s information is then displayed to the user X on the graphical user interface (118). The user X may select a dog from the list of matching dog’s profiles for breeding. The user X may interact with the selected dog’s owner. The mode of interaction may be chatting, calling, and the like.

Considering a scenario, when the pet dog is lost, and user X is not able to find the pet dog. In such a scenario, the wearable collar band (120) of the system (100) acts as the saviour. The wearable collar band (120) is mounted over the pet dog’s neck. The user may set the range from the user or from the house of the user. The range is the distance set by the user X. If the pet dog is lost within the range, the user may be able to find the pet dog. To find the lost pet dog, the user X uses the location tracking unit (122) to track the real-time location of the pet dog. When the user X uses the location tracking module (122), the audio-visual indication unit (124) get activated. After activation of the audio-visual indication unit (124), the wearable caller band (120) emits light which is useful in darkness to spot the pet dog. The wearable collar band (120) also sends a recorded voice alert which includes the name of the pet dog, the name, address, and phone number of the owner of the pet dog. For example, the voice alert may be as follows: “Hello, my name is Z, I am lost! I live on “Address” with my family “family name” and it would be great if you could contact them on “phone number” and tell my whereabouts!”. The activation of the audio-visual unit may happen if the pet and pet owners are a certain distance apart (for example 5 km) automatically or when the pet owner chooses to do so through the system (100) at any time. A person who is near the pet dog, when sees the emitting light or hears the recorded voice alert, the person may help the pet dog to be found either by taking the pet dog to the owner’s address or by calling the owner of the pet dog.

Considering another scenario, when the user X wants a veterinary assistant for the pet dog or any other street dog. The user, who wants to help an injured street dog may use the veterinary service module (128). The veterinary service module (128) provides, list of registered veterinary doctors in the vicinity of the user X. The list may include the name, contact number, address, and opening hours of the hospital. The veterinary service module (128) also helps in the vaccination or deworming process of the pet dog or street dog. In case of accidents of dog’s, the veterinary service module (128) is useful as people are generally unaware of the location of veterinary doctors. The user X may also search the veterinary doctors based on symptoms input by the user X and provide a guideline about the possible causes and treatments with a link to veterinary services. Also, in another scenario where the user X wants to avail a salon or grooming facility for the pet dog. The grooming service recommendation module (132) of the system (100) recommends one or more animal salons to the user for acquiring grooming services for the pet dog based on the predicted animal information. The user X may select the grooming service which gives good service, which is nearby, and affordable.

Considering another scenario, where the dog is behaving abnormally. Before opting for veterinary help, user X wants to check if the reason for the abnormal behavior of the dog is any disease. The user X may find a disease corresponding to symptoms. The symptom search module (130) collects symptoms of the disease of the animal and suggests remedies for each disease depending upon the breed of the animal. The user may also select a particular breed and search for remedies for the symptoms of the disease. Accordingly, user X can find an easy solution instead of going to the veterinary doctor or use the suggested veterinary doctor recommended for treatments based on the symptoms.

Considering another scenario, where the user X wants to adopt one of a dogs instead of buying the dog, the user may use the animal adoption module (134). The animal adoption module (134) enables a user Y to adopt the dog available at a nearby location corresponding to the user Y. The user Y may also use animal information prediction module (110) at the time of adopting a dog, to find the age, and breed of the dog to be adopted. Also, the system (100) is useful for the people or group who supplies animals for adoption by using the animal adoption module (134).

FIG. 4 is a block diagram of a computer or a server (300) for the system (100) for animal care and management in accordance with an embodiment of the present disclosure. The server (300) includes a processor(s) (302), and memory (306) operatively coupled to the bus (304).

The processor(s) (302), as used herein, means any type of computational circuit, such as, but not limited to, a microprocessor, a microcontroller, a complex instruction set computing microprocessor, a reduced instruction set computing microprocessor, a very long instruction word microprocessor, an explicitly parallel instruction computing microprocessor, a digital signal processor, or any other type of processing circuit, or a combination thereof.

The bus (304) as used herein refers to be internal memory channels or computer network that is used to connect computer components and transfer data between them. The bus (304) includes a serial bus or a parallel bus, wherein the serial bus transmits data in a bit-serial format and the parallel bus transmits data across multiple wires. The bus (304) as used herein, may include but not limited to, a system bus, an internal bus, an external bus, an expansion bus, a frontside bus, a backside bus, and the like.

The memory (306) includes a plurality of subsystems and a plurality of modules stored in the form of an executable program which instructs the processor (302) to perform the method steps illustrated in FIG. 1. The memory (306) is substantially similar to the system (100) of FIG.1. The memory (306) has submodules: an animal information receiving module (106), an animal information prediction module (110), and an animal matching module (116).

The animal information receiving module (106) is configured to receive at least one animal profile pertaining to a domesticated animal from a user via a user device (108). The animal information prediction module (110) is operatively coupled to the animal information receiving module (106). The animal information prediction module (110) is configured to compare the at least one animal profile received with a comparative animal profile dataset (112) prestored in an animal information database (114). Also, the animal information prediction module (110) is configured to predict animal information based on a comparison of the at least one animal profile received with the comparative animal profile dataset (112).

The animal matching module (116) is operatively coupled to the animal information prediction module (110). The animal matching module (116) is configured to match the predicted animal information with existing animal information of a corresponding breed. The existing animal information is received from a plurality of animal owners. Also, the animal matching module (116) is configured to display a list of matched animal profiles on a graphical user interface (118) based on the matching of the predicted animal information with the existing animal information. The animal matching module (116) is further configured to enable the user to select at least one matched animal profile pertaining to the domesticated animal from the list of matched animal profiles displayed for one or more purposes.

Computer memory elements may include any suitable memory device(s) for storing data and executable program, such as read-only memory, random access memory, erasable programmable read-only memory, electrically erasable programmable read-only memory, hard drive, removable media drive for handling memory cards and the like. Embodiments of the present subject matter may be implemented in conjunction with program modules, including functions, procedures, data structures, and application programs, for performing tasks, or defining abstract data types or low-level hardware contexts. An executable program stored on any of the above-mentioned storage media may be executable by the processor(s) (302).

FIG. 5 (a) and FIG. 5(b) is a flow chart representing steps involved in a method (200) of animal care and management (100) in accordance with an embodiment of the present disclosure. The method (200) includes receiving, by an animal information receiving module of a processing subsystem, at least one animal profile pertaining to a domesticated animal from a user via a user device in step (202). Also, the method (200) includes capturing, at least one animal profile by a feature capturing module installed on the user device associated with the user.

The method (200) also includes comparing, by an animal information prediction module of the processing subsystem, at least one of the animal profiles received with a comparative animal profile dataset prestored in an animal information database in step (204). The method (200) also includes using, an artificial intelligence-enabled lens to predict animal information of the captured features of the domesticated animal.

The method also includes predicting, by the animal information prediction module of the processing subsystem, the animal information based on a comparison of the at least one of the animal profile received with the comparative animal profile dataset in step (206). In one embodiment, predicting the animal information may include predicting, the age, breed, and other parameters of the animal related to mating of the animal.

Furthermore, the method (200) includes matching, by an animal matching module of the processing subsystem, the predicted animal information with existing animal information of a corresponding breed, wherein the existing animal information is received from a plurality of animal owners in step (208). The method also includes applying, a filter to the animal profiles on the basis of gender, hair colour, breed, vaccination status, and deworming status among other animals provided.

Furthermore, the method (200) includes displaying, by the animal matching module of the processing subsystem, a list of matched animal profiles on a graphical user interface based on a matching of predicted animal information with the existing animal information in step (210). The method also includes allowing, the users to exchange messages and connect for the next steps of matching.

Furthermore, the method (200) includes enabling, by the animal matching module of the processing subsystem, the user to select at least one matched animal profile pertaining to the domesticated animal from the list of the matched animal profiles displayed for one or more purposes in step (212).

Furthermore, the method (200) includes locating, by a locating tracking unit of a wearable collar band, the domesticated animal within a predefined location range in real-time in step (214). In some embodiment, locating the domesticated animal may include locating the domesticated animal by the wearable collar band mounted over the neck of the domesticated animal. In such embodiment tracking the location of the domesticated animal by the wearable collar band may include tracking the location within a predefined range set by the user.

Furthermore, the method (200) includes emitting, by an audio-visual indication unit of the wearable collar band, light upon tracking the location of the domesticated animal thereby enabling the user in identifying the domesticated animal in step (216). The method also includes alerting, by a recorded voice message which may include the name of the animal, name, address, and contact number of the owner of the animal.

Furthermore, the method (200) includes sending, by the audio-visual indication unit of the wearable collar band, a recorded voice alert to notify the user in rescuing the domesticated animal upon identification of the location of the domesticated animal in step (218). The method (218) includes alerting, by voice messages spoken by a speaker announcing at least one of a name of the animal, a name, contact number, and address of the owner of the animal or a combination thereof. The method (200) also includes enabling, by virtual pet service module, the user to see a virtual three- dimensional (3D) model, two-dimensional model (2D) model compatible with AR- VR operating systems such as Metaverse and the like. The metaverse is defined as an embodied virtual-reality experience.

Various embodiments of the present disclosure enable health monitoring and prediction of health problems in relation to heart, lung, and the like. The device in the present disclosure may be operated without any help from a medical expert. The device enables a user, to operate without going to the hospital physically. Thus, heart and cardiac health may be monitored at home. The device predicts future problems in relation to the heart and lungs so that the user may seek medical help in early-stage and avoid serious health situations.

While specific language has been used to describe the disclosure, any limitations arising on account of the same are not intended. As would be apparent to a person skilled in the art, various working modifications may be made to the method in order to implement the inventive concept as taught herein.

The figures and the foregoing description give examples of embodiments. Those skilled in the art will appreciate that one or more of the described elements may well be combined into a single functional element. Alternatively, certain elements may be split into multiple functional elements. Elements from one embodiment may be added to another embodiment. For example, order of processes described herein may be changed and are not limited to the manner described herein. Moreover, the actions of any flow diagram need not be implemented in the order shown; nor do all of the acts need to be necessarily performed. Also, those acts that are not dependent on other acts may be performed in parallel with the other acts. The scope of embodiments is by no means limited by these specific examples.

Claims

WE CLAIM:

1. An animal care management system (100) comprising: a processing subsystem (102), hosted on a server (104), and configured to execute on a network to control bidirectional communications among a plurality of modules comprising: an animal information receiving module (106) configured to receive at least one animal profile pertaining to a domesticated animal from a user via a user device (108); an animal information prediction module (110) operatively coupled to the animal information receiving module (106), wherein the animal information prediction module (110) is configured to: compare the at least one animal profile received with a comparative animal profile dataset (112) prestored in an animal information database (114); and predict animal information based on a comparison of the at least one animal profile received with the comparative animal profile dataset (112); an animal matching module (116) operatively coupled to the animal information prediction module (110), wherein the animal matching module (116) is configured to: match the predicted animal information with existing animal information of a corresponding breed, wherein the existing animal information is received from a plurality of animal owners; display a list of matched animal profiles on a graphical user interface (118) based on matching of the predicted animal information with the existing animal information; and enable the user to select at least one matched animal profile pertaining to the domesticated animal from the list of matched animal profiles displayed for one or more purposes; and a wearable collar band (120) operatively coupled to the server (104), wherein the wearable collar band (120) comprises: a location tracking unit (122) configured to track a location of the domesticated animal within a predefined location range in real-time; and an audio-visual indication unit (124) operatively coupled with the location tracking unit (122) configured to: emit light upon tracking the location of the domesticated animal thereby enabling the user in identifying the domesticated animal; and send a recorded voice alert to notify the user for rescuing the domesticated animal upon identification of the location of the domesticated animal.

2. The system (100) as claimed in claim 1, wherein the at least one animal profile is captured by a feature capturing module (126) installed on the user device (108) associated with the user.

3. The system (100) as claimed in claim 2, wherein the feature capturing module (126) uses artificial intelligence-enabled lenses to capture the features of the domesticated animal, wherein the captured features are displayed as an encyclopaedia of the breed identified and possible adoption options in nearby vicinity.

4. The system (100) as claimed in claim 1, wherein the processing subsystem (102) comprises a veterinary service module (128) which enables the user to search for one or more veterinary doctors in proximity to the location of the domesticated animal for getting medical assistance.

5. The system (100) as claimed in claim 4, wherein the veterinary service module (128) comprises a symptom search module (130) is configured to collect symptom input from user to display treatment guidelines by collaborating with veterinary services.

6. The system (100) as claimed in claim 1, wherein the processing subsystem (102) comprises a grooming service recommendation module (132) configured to recommend one or more animal salons to the user for acquiring grooming services for the domesticated animal based on the predicted animal information.

7. The system (100) as claimed in claim 1, wherein the processing subsystem (102) comprises an animal adoption module (134) configured to enable a plurality of users to adopt the domesticated animal available at a nearby location corresponding to the plurality of users.

8. The system (100) as claimed in claim 1, wherein the voice alert comprises a voice message spoken by a speaker announcing at least one of a name of the animal, a name, contact number, and address of the owner of the animal or a combination thereof.

9. The system (100) as claimed in claim 1, comprises a virtual pet service module (136) configured to enable the user to see a virtual three-dimensional model or two-dimensional model, wherein the virtual pet service module (136) provides a virtual replica to mimic and is compatible with one of augmented reality, virtual reality and virtual reality operating system.

10. A method (200) comprising: receiving, by an animal information receiving module of a processing subsystem, at least one animal profile pertaining to a domesticated animal from a user via a user device; (202) comparing, by an animal information prediction module of the processing subsystem, the at least one of the animal profile received with a comparative animal profile dataset prestored in an animal information database; (204) predicting, by the animal information prediction module of the processing subsystem, the animal information based on a comparison of the at least one of the animal profile received with the comparative animal profile dataset; (206) matching, by an animal matching module of the processing subsystem, the predicted animal information with existing animal information of a corresponding breed, wherein the existing animal information is received from a plurality of animal owners; (208) displaying, by the animal matching module of the processing subsystem, a list of matched animal profiles on a graphical user interface based on a matching of predicted animal information with the existing animal information; (210) enabling, by the animal matching module of the processing subsystem, the user to select at least one matched animal profile pertaining to the domesticated animal from the list of the matched animal profiles displayed for one or more purposes; (212) locating, by a locating tracking unit of a wearable collar band, the domesticated animal within a predefined location range in real-time; (214) emitting, by an audio-visual indication unit of the wearable collar band, light upon tracking the location of the domesticated animal thereby enabling the user in identifying the domesticated animal; (216) and sending, by the audio-visual indication unit of the wearable collar band, a voice alert to notify the user in rescuing the domesticated animal upon identification of the location of the domesticated animal. (218)