Description:FORM 2
THE PATENTS ACT, 1970
(39 of 1970)
&
THE PATENTS RULES, 2003
COMPLETE SPECIFICATION
[See section 10 and rule 13]
1. TITLE OF THE DISCLOSURE: DEVICE AND METHOD FOR MONITORING AND GUIDING A PET

2. APPLICANT:
(a) Name – BVUR INNOVATIONS (INDIA) PRIVATE LIMITED
(b) Nationality – an Indian company
(c) Address - S Office No 503, 504, 5th Floor, Majestique Cityview, Shankar Sheth Road, Seven Loves Chowk, Gultekdi, Pune, Maharashtra, INDIA, 411037

THE FOLLOWING SPECIFICATION PARTICULARLY DESCRIBES THE DISCLOSURE AND THE MANNER IN WHICH IT IS TO BE PERFORMED.

FIELD
[0001] The present disclosure generally relates to a field of the pet management. In particular, the present disclosure relates to a device and a method for monitoring and guiding activities of pets by pet owners.
BACKGROUND
[0002] Pet owners often experience difficulty in ensuring safety and well-being of their pets, particularly when they are not physically present near their respective pets. Pets may stray from designated areas, leading to risks to their safety or loss, such as getting lost, encountering traffic, or encountering any other hazardous situations. Examples of hazardous situations may include exposure to extreme weather, toxic substances, or dangerous wildlife. In absence of the physical presence of an attendant, pets may not receive attention to attend to their health problems, such as untreated injuries or illnesses, which can worsen over time. Further, in absence of an attendant, pets may not receive regular exercise and mental stimulation to maintain their health. Therefore, pet owners need a device that can assist pets to do things in absence of their respective owners and may also assist pet-owners to do tasks remotely which they would have done when they are present close to their respective pets. Current solutions are insufficient for real-time, comprehensive monitoring and guidance, leaving pet owners without effective means to manage and care for their pets.
SUMMARY
[0003] The present invention, as claimed in the claims of the present disclosure, is a pet interface device. The pet interface device comprises a processor, a connectivity module, and a memory including stored data, tables, and executable program instructions. The pet interface device further comprises two or more sensors, wherein each sensor configured for sensing at least one of physiological parameters and environmental parameters associated with a pet. The pet interface device further includes a path guidance module configured to guide the pet along a predefined path based on GPS coordinates, real-time tracking, and deviation detection. The path guidance module is further configured to provide feedback to the pet using a frequency generator and a speaker.
[0004] In one implementation, the two or more sensors include a GPS module, an accelerometer, a pedometer, a camera, and a microphone.
[0005] In one implementation, the path guidance module comprises a predefined path stored in the memory wherein the predefined path is based on GPS coordinates. The path guidance module includes a real-time tracking unit for comparing current location of the pet with the predefined path, a deviation detection unit for computing deviation from the path based on a tolerance threshold and the environmental parameters, and a feedback unit for activating the frequency generator and the speaker to guide the pet using the predefined path.
[0006] In one implementation, the pet interface device further comprises a remote-control interface, being accessible via a mobile application and a web dashboard, for providing real-time updates, live video feed, and location tracking.
[0007] In one implementation, the pet interface device further comprises an activity monitoring module being configured for monitoring movements and activity levels of the pet by using data from the accelerometer and pedometer and analysing patterns for identifying normal and abnormal behaviour.
[0008] In one implementation, the activity monitoring module further utilizes video surveillance information from the camera to record or stream live video feed for monitoring activities of the pet.
[0009] The present invention, as claimed in the claims of the present disclosure, is a method for guiding a pet using a pet interface device. The method comprises sensing physiological and environmental parameters associated with the pet by two or more sensors, wherein each sensor is configured to sense at least one of the physiological parameter and the environmental parameter. The method further comprises guiding the pet along a predefined path based on data associated with GPS coordinates, real-time tracking, and deviation detection using a path guidance module. The method further includes providing feedback to the pet using a frequency generator and a speaker.
[0010] In one implementation, the two or more sensors include a GPS module, an accelerometer, a pedometer, a camera, and a microphone.
[0011] In one implementation, the step of guiding the pet along a predefined path further comprises storing a predefined path based on GPS coordinates, comparing the current location of the pet with the predefined path using a real-time tracking unit, computing deviation from the path based on a tolerance threshold and the environmental parameters using a deviation detection unit, and activating the frequency generator and the speaker to guide the pet along the predefined path using a feedback unit.
[0012] In one implementation, the method further comprises providing a remote-control interface accessible via a mobile application and a web dashboard for real-time updates, live video feed, and location tracking.
[0013] In one implementation, the method further comprises monitoring movements and activity levels of the pet using data from the accelerometer and pedometer, and analysing patterns for identifying normal and abnormal behaviour.
[0014] In one implementation, the method further comprises utilizing video surveillance information from the camera to record or stream live video feed for monitoring activities of the pet.
BRIEF DESCRIPTION OF FIGURES
[0015] The aspects and other features of the subject matter will be better understood with regard to the following description, appended claims, and accompanying figures. The use of the same reference number in different figures indicates similar or identical items.
[0016] FIG. 1A illustrates a block diagram of a pet interface device 104A, in accordance with an embodiment of the present disclosure.
[0017] FIG. 1B illustrates a block diagram of a pet interface device as a part of a pet management system, in accordance with another embodiment of the present disclosure.
[0018] FIG. 2 illustrates a block diagram of a pet interface device as a part of a pet management system, in accordance with another embodiment of the present disclosure.
[0019] FIG. 3 illustrates a block diagram for a method for guiding a pet using a pet interface device, in accordance with another embodiment of the present disclosure.
DETAILED DESCRIPTION
[0020] In the present disclosure, a reference to a term “module” is understood as a set of instructions stored in the memory of the device to achieve a specific purpose.
[0021] In the present disclosure, a reference to a term “connectivity module” is understood as the hardware component of the device responsible for enabling communication between the device and other devices or systems.
[0022] In the present disclosure, a reference to a term “path guidance module” is understood as a module configured to guide the pet along a predefined path using GPS coordinates, real-time tracking, and deviation detection.
[0023] In the present disclosure, a reference to a term “feedback unit” is understood as a component that provides auditory or haptic feedback to the pet using a frequency generator, a speaker, or a vibration mechanism.
[0024] In the present disclosure, a reference to a term “activity monitoring module” is understood as a module configured to monitor movements and activity levels of the pet using data from sensors and analyse patterns to identify normal and abnormal behaviour.
[0025] In the present disclosure, a reference to a term “user interface device” is understood as a smart device used by the pet owner to interact with the server, which may include a smartphone, tablet, laptop, or any other smart device.
[0026] In the present disclosure, a reference to a term “accelerometer” is understood as a sensor within the sensors used to measure acceleration and movement patterns of the pet.
[0027] In the present disclosure, a reference to a term “gyroscope” is understood as a sensor within the sensors used to measure the orientation and rotational movements of the pet.
[0028] In the present disclosure, a reference to a term “GPS module” is understood as a sensor within the sensors used to track the geographical location and travel distances of the pet.
[0029] In the present disclosure, a reference to a term “camera” is understood as a sensor within the sensors used to capture visual data of the activities and interactions of the pets.
[0030] In the present disclosure, a reference to a term “microphone” is understood as a sensor within the sensors used to capture audio data such as barking, whining, or environmental sounds.
[0031] In the present disclosure, a reference to a term “AI/ML algorithms” is understood as artificial intelligence and machine learning algorithms used within the activity monitoring module to analyze data, detect normal and abnormal behaviour of pet, and perform predictive analytics.
[0032] In the present disclosure, a reference to a term “predefined path” is understood as a specific route defined by a series of GPS coordinates that the pet is expected to follow, stored in the memory of the pet interface device.
[0033] In the present disclosure, a reference to a term “deviation detection unit” is understood as a component that computes any deviation from the predefined path based on a tolerance threshold and environmental parameters, including GPS coordinates.
[0034] FIG. 1A illustrates a block diagram of a pet interface device 104A, in accordance with an embodiment of the present disclosure. The device 104A includes a processor 106 and a connectivity module 106A. The device 104A further includes a memory 108 for storing data, tables, and executable program instructions. The device 104A further includes two or more sensors 110, wherein each sensor being configured for sensing at least one of the physiological parameters and the environmental parameters associated with the pet. The pet interface device 104A further includes a path guidance module 112 configured to guide the pet along a predefined path based on GPS coordinates, real-time tracking, and deviation detection. The path guidance module is further configured to provide feedback to the pet using a frequency generator and a speaker.
[0035] FIG. 1B illustrates a block diagram of a pet interface device 104A as a part of a pet management system 100, in accordance with another embodiment of the present disclosure. As shown in FIG. 1B, the pet interface device 104A is part of a pet management system 100 that includes a server 102. In the system 100, the pet interface device 104A, the server 102, and a user interface device 104B may be communicatively coupled by the connectivity module 106A to facilitate data transmission among the pet interface device 104A, the server 102, and the user interface device 104B. In one implementation, the connectivity module 106A facilitates the communication through any communication system, including but not limited to, technologies such as Internet, GPS, GSM, or LTE. The pet interface device being configured to interact with the user interface device 104B via server 102, where such user interface device 104B may be a smart device of a pet owner of the pet. The user interface device may be a smartphone, a tablet, a laptop, or any other smart device.
[0036] In one implementation, the data associated with the physiological parameters and the environmental parameters of the pet recorded by the two or more sensors 110 may be remotely processed and stored on the server 102. In another implementation, the data may be processed on-board the pet interface device 104A and can be transferred to the server 102 for remote storage. Any data that is stored at the server 102 may be accessible to the user by the user interface device 104B, where the user may use an application or a website to interface with said data.
[0037] FIG. 2 illustrates a block diagram of a pet interface device as a part of a pet management system, in accordance with another embodiment of the present disclosure. As shown in FIG. 2, the pet interface device 204A, in accordance with one implementation, includes a processor 206, a connectivity module 206A, and a memory 208. In one implementation, the pet interface device 204A is a part of a system 200 that includes a server 202 and a user interface device 204B. The pet interface device 204A further includes two or more sensors 210 and a path guidance module 212. The present embodiment is similar to the pet interface device 104A of system 100. To avoid repetition, the description of similar elements is omitted here for brevity.
[0038] The path guidance module 212 is configured to guide the pet along a predefined path. In the one embodiment, the path guidance module 212 includes a real-time tracking unit 212A, a deviation detection unit 212B, and a feedback unit 212C. The real-time tracking unit 212A is configured for comparing current location of the pet with the predefined path using GPS coordinates. The deviation detection unit 212B is configured for computing any deviation from the predefined path based on a tolerance threshold and the environmental parameters. The feedback unit 212C is configured for providing feedback to the pet using a frequency generator and a speaker to guide the pet back to the predefined path.
[0039] In one implementation, the real-time tracking unit 212A compares current location of the pet with the predefined path using GPS coordinates. In one implementation, the predefined path is a specific route defined by a series of GPS coordinates that the pet is expected to follow. The pre-defined path is defined by the pet owner and stored in the memory 208 of the pet interface device. The pre-defined path serves as a reference against which real-time location of the pet is continuously compared. In one implementation, the real-time tracking unit 212A continuously receives GPS data to determine precise location of the pet. The location data is then compared to the predefined path stored in the memory 208.
[0040] In one implementation, the deviation detection unit 212B computes any deviation from the predefined path based on a tolerance threshold and the environmental parameters, which include GPS coordinates and other relevant data. The tolerance threshold is a predefined value that determines the acceptable range of deviation from the path. In one implementation, environmental parameters may include factors such as terrain, weather conditions, obstacles, and other GPS-based data related to the movement of the pet. The deviation detection unit 212B uses this information to determine whether the pet has strayed from the path beyond the threshold. If a deviation is detected, the deviation detection unit 212B calculates the degree and direction of the deviation.
[0041] In one implementation, the feedback unit 212C provides feedback to the pet using a frequency generator and a speaker to guide the pet back to the predefined path. The frequency generator produces sound waves at specific frequencies that are audible to the pet. The speaker emits these sound waves as auditory signals. In one implementation, the feedback provided can be in the form of tones, beeps, or voice commands, which are designed to attract attention of the pet and guide the pet back to the predefined path. In one implementation, the feedback unit 212C can be programmed with different types of sounds to suit different pets, taking into account factors such as hearing sensitivity and training history of the pet.
[0042] In one alternative embodiment, the feedback unit 212C may include a vibration mechanism in addition to the speaker. The vibration mechanism can provide haptic feedback to the pet through a wearable device such as a collar. The vibrations can be used to guide the pet back to the path without relying solely on auditory signals.
[0043] In one implementation, the path guidance module 212 may include a customizable path feature for allowing the pet owner to define different paths based on various conditions or requirements. For example, the owner may define paths for different times of the day, different weather conditions, or different exercise routines. Multiple predefined paths may be stored in the memory 208, which can be switched by the pet owner as needed.
[0044] In one implementation, the activity monitoring module 214 monitors the movements and activity levels of the pet using data from the accelerometer and pedometer. The activity monitoring module 214 analyses patterns to identify normal and abnormal behaviour of the pet. In one implementation, normal behaviour patterns may include regular walking, running, and resting periods. Abnormal behaviour patterns may include excessive inactivity, sudden bursts of activity, or irregular movement patterns that could indicate potential health issues or environmental stressors.
[0045] In one implementation, the activity monitoring module 214 utilizes video surveillance information from the camera to record or stream live video feed for monitoring the activities of the pet. The camera provides visual data that complements the data from the accelerometer and pedometer. The live video feed allows pet owners to visually monitor the behaviour of the pet in real-time. The video data can also be recorded and stored for later analysis, thereby enabling a comprehensive review of the activities of the pet over time.
[0046] In one implementation, the feedback unit 212C can cooperate with the activity monitoring module 214 to allow the pet owner to visually monitor and command pet behaviour. Through the user interface device 204B, the pet owner can view the live video feed and issue commands to the pet using the feedback unit 212C. The feedback unit 212C, which includes a frequency generator and a speaker, can emit specific sounds or voice commands to guide or correct the behaviour of the pet based on inputs from the pet owner.
[0047] In one alternative embodiment, the activity monitoring module 214 may also include a microphone to capture audio data. Audio cues such as barking, whining, or other vocalizations can provide additional context to the behaviour of the pet and help identify potential issues that may not be apparent from movement data alone.
[0048] In one implementation, the activity monitoring module 214 may employ artificial intelligence (AI) and machine learning (ML) algorithms to enhance analysis capabilities. AI and ML can help identify subtle patterns and correlations in the data that may not be immediately obvious. These algorithms can learn from historical data to improve the accuracy of behaviour predictions and anomaly detections over time.
[0049] In one implementation, the pet management system 200 allows for remote processing and storage of the data on the server 202. The stored data can be accessed by the user through the user interface device 204B. The system 200 facilitates real-time tracking, monitoring, and guidance of the pet, thereby improving safety and well-being of the pet when the owner is not physically present.
[0050] Fig. 3 illustrates a block diagram of a method 300 for guiding a pet using a pet interface device. At block 302, the method 300 includes the step of sensing physiological and environmental parameters associated with the pet by two or more sensors 210, wherein each sensor is configured for sensing at least one the physiological parameters and the environmental parameter. At block 304, the method 300 includes the step of guiding the pet along a predefined path based on data associated with GPS coordinates, real-time tracking, and deviation detection using a path guidance module 212. At block 306, the method 300 includes the step of providing feedback to the pet using a frequency generator and a speaker.
[0051] In one implementation, the step of guiding the pet along a predefined path further comprises the steps of storing a predefined path based on GPS coordinates. The step of guiding the pet further includes comparing the current location of the pet with the predefined path using a real-time tracking unit. Based on the comparison, the step of guiding the pet further includes computing deviation from the path based on a tolerance threshold and the environmental parameters using a deviation detection unit. The step of guiding the pet further includes activating the frequency generator and the speaker to guide the pet along the predefined path using a feedback unit.
[0052] In one implementation, the real-time tracking unit 212A continuously compares current location of the pet with the predefined path. The deviation detection unit 212B computes any deviation from the path based on a tolerance threshold and environmental parameters, including GPS coordinates and other relevant data. The feedback unit 212C activates the frequency generator and the speaker to guide the pet along the predefined path. If the pet strays from the path, the feedback unit 212C emits specific sounds or commands to attract attention of the pet and guide the pet back to the path.
[0053] In one implementation, the method further comprises providing a remote-control interface accessible via a mobile application and a web dashboard for real-time updates, live video feed, and location tracking.
[0054] In one implementation, the method 300 further comprises providing a remote-control interface accessible via a mobile application and a web dashboard for real-time updates, live video feed, and location tracking. The pet owner can interact with the pet interface device and monitor the pet remotely. The mobile application and web dashboard allow the owner to receive real-time updates on location of the pet, view live video feed from the camera, and track the movements and activities of the pet. The remote-control interface enables the owner to issue commands to the pet through the feedback unit 212C, enhancing the ability to manage and guide the pet remotely.
[0055] In one implementation, the method 300 further comprises monitoring movements and activity levels of the pet using data from the accelerometer and pedometer. The activity monitoring module 214 analyses the data to identify patterns of normal and abnormal behaviour. Normal behaviour patterns may include regular walking, running, and resting periods, while abnormal patterns may indicate potential health issues or environmental stressors. The analysis helps in identifying deviations from the usual behaviour of the pet, which can be indicative of health or environmental issues.
[0056] In one implementation, the method 300 further comprises utilizing video surveillance information from the camera to record or stream live video feed for monitoring the activities of the pet. The live video feed allows pet owners to visually monitor the behaviour of the pet in real-time. The video surveillance information can be recorded and stored for later analysis, thereby providing a comprehensive review of the activities of the pet over time. The camera records visual data that complements the data from the accelerometer and pedometer for providing a fuller picture of behaviour and activities of the pet.
, Claims:We claim:
1. A pet interface device comprising:
a processor;
a connectivity module;
a memory including stored data, tables, and executable program instructions;
two or more sensors, wherein each sensor configured for sensing at least one of physiological parameters and environmental parameters associated with a pet;
a path guidance module configured to:
guide the pet along a predefined path based on GPS coordinates, real-time tracking, and deviation detection; and
provide feedback to the pet using a frequency generator and a speaker.
2. The pet interface device as claimed in claim 1, wherein the two or more sensors include a GPS module, an accelerometer, a pedometer, a camera, and a microphone.

3. The pet interface device as claimed in claim 1, wherein the path guidance module comprises:
a predefined path stored in the memory wherein the predefined path being based on GPS coordinates;
a real-time tracking unit for comparing current location of the pet with the predefined path;
a deviation detection unit for computing deviation from the path based on a tolerance threshold and the environmental parameters; and
a feedback unit for activating the frequency generator and the speaker to guide the pet for using the predefined path.
4. The pet interface device as claimed in claim 1, the pet interface device further comprising a remote-control interface, being accessible via a mobile application and a web dashboard, for providing real-time updates, live video feed, and location tracking.
5. The pet interface device as claimed in claim 2, the pet interface device further comprising an activity monitoring module being configured for:
monitoring movements and activity levels of the pet by using data from the accelerometer and pedometer, and
analysing patterns for identifying normal and abnormal behaviour.
6. The pet interface device as claimed in claim 5, wherein the activity monitoring module further utilizes video surveillance information from the camera to record or stream live video feed for monitoring activities of the pet.
7. A method for guiding a pet using a pet interface device, the method comprising:
sensing physiological and environmental parameters associated with the pet by two or more sensors, wherein each sensor is configured for sensing at least one of the physiological parameter and the environmental parameter;
guiding the pet along a predefined path based on data associated with GPS coordinates, real-time tracking, and deviation detection using a path guidance module; and
providing feedback to the pet using a frequency generator and a speaker.
8. The method as claimed in claim 7, wherein the two or more sensors include a GPS module, an accelerometer, a pedometer, a camera, and a microphone.
9. The method for guiding a pet as claimed in claim 7, wherein the step of guiding the pet along a predefined path further comprises:
storing a predefined path based on GPS coordinates;
comparing current location of the pet with the predefined path using a real-time tracking unit;
computing deviation from the predefined path based on a tolerance threshold and the environmental parameters using a deviation detection unit; and
activating the frequency generator and the speaker to guide the pet along the predefined path using a feedback unit.
10. The method for guiding a pet as claimed in claim 7, further comprising providing a remote-control interface accessible via a mobile application and a web dashboard for real-time updates, live video feed, and location tracking.
11. The method for guiding a pet as claimed in claim 8, further comprising:
monitoring movements and activity levels of the pet using data from the accelerometer and pedometer; and
analysing patterns for identifying normal and abnormal behaviour.
12. The method for guiding a pet as claimed in claim 11, further comprising utilizing video surveillance information from the camera to record or stream live video feed for monitoring activities of the pet.

Dated this

Saad Jawed Shaikh (IN/PA 3775)
Agent for the Applicant
To,
The Controller of Patents,
The Patent Office, Mumbai