Sign In to Follow Application
View All Documents & Correspondence

Pet Feeder Unit

Abstract: A device and method for detecting potential health risks in pets disclosed herein. The device comprises a processor, a connectivity module, a memory including stored data, tables, and executable program instructions, and two or more sensors, wherein each sensor senses a physiological parameter corresponding to a pet. The device includes a pet health monitoring module configured to monitor gait patterns, sudden activities, respiratory activities, and vital signs of the pet based on two or more physiological parameters received from two or more corresponding sensors, and to analyse data corresponding to the two or more physiological parameters to detect and predict potential health issues, including musculoskeletal, neurological, respiratory, or cardiovascular conditions.

Get Free WhatsApp Updates!
Notices, Deadlines & Correspondence

Patent Information

Application #
Filing Date
30 October 2024
Publication Number
10/2025
Publication Type
INA
Invention Field
ELECTRONICS
Status
Email
Parent Application

Applicants

BVUR INNOVATIONS (INDIA) PRIVATE LIMITED
S Office No 503, 504, 5th Floor, Majestique Cityview, Shankar Sheth Road, Seven Loves Chowk, Gultekdi, Pune, Maharashtra, INDIA, 411037

Inventors

1. Beigh, Mirza Mohammad Idrees Ul Haq
78, Old Post Office Lane, Naribal, Amda Kadal, Lal Bazar, Srinagar, Jammu and Kashmir, India, pin code - 190011
2. Rao, Jagdish Balaji
Venkatesh Farm, S. no. 95/1, N. D. A. Road Warje, Pune, Maharashtra, India, pin code - 411023
3. Rao, Banda Balaji
Venkatesh Farm, S. no. 95/1, N. D. A. Road Warje, Pune, Maharashtra, India, pin code - 411023

Specification

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: PET FEEDER UNIT

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 the field of pet management. In particular, the present disclosure relates to a pet feeder unit and a method for managing pet feeding, based on physiological parameters of a pet.
BACKGROUND
[0002] It is important for pet owners to ensure proper nutrition and health monitoring for pets. Typically, pet owners resort to manual feeding methods, which may be inconsistent and may fail to address unique dietary and health needs of individual pets. Some pet owners employ use of feeder units for the purpose of feeding pets. However, traditional feeder units dispense food without considering physiological parameters of pets, such as Body Mass Index (BMI), medical history, breed, age, sex, and activity levels. Such unchecked feeding typically leads to potential overfeeding or underfeeding, thereby resulting in various health issues, including obesity, malnutrition, and associated medical conditions. Additionally, pet owners frequently face challenges in maintaining consistent feeding schedules, or monitoring their pets' health, due to their absence from home for work or travel. As such, there is need for a pet feeder unit that can manage feeding of pets by considering individualized physiological data, thereby ensuring optimal nutrition and monitoring of pets, even when an owner is away from the pet.
SUMMARY
[0003] The present invention, as claimed in claims of the present invention, relates to a pet feeder unit for pet management. The pet feeder unit comprises a processor, a connectivity module, and a memory including stored data and look up tables, and executable program instructions. The pet feeder unit further comprises two or more sensors configured on the pet feeder unit, each sensor configured for sensing one or more physiological parameters associated with a pet. In one implementation, the feeder unit is configured to dispense pet food in a feeding bowl in accordance with one or more parameters associated with a pet.
[0004] In one implementation, the pet feeder unit further comprises an identification module configured to identify the pet for retrieving from the memory relevant information corresponding to the identified pet.
[0005] In one implementation, the pet feeder unit further comprises a dispensation module configured to dispense a specified quantity of pet food corresponding to the one or more physiological parameters of the identified pet, wherein the pet food includes solid food and liquid food. . The pet food includes solid food and liquid food.
[0006] In one implementation, the pet feeder unit further comprises a weight sensing module configured on the feeding bowl and coupled to the dispensation module.
[0007] In one implementation, the pet feeder unit further comprises a communication module configured to facilitate audio and video communication between a pet owner and the pet while the pet is eating the pet food.
[0008] In one implementation, the one or more physiological parameters include Body Mass Index, medical history information, breed, age, sex, and activity levels of the pet.
[0009] In one implementation, the two or more sensors include a biometric sensor, a GSM module, a weight sensor, an infrared sensor, a microphone, a speaker, and a flat screen display.
[0010] In one implementation, the pet feeder unit further comprises a GSM module, a speaker, and a display screen to facilitate audio and video communication.
[0011] In one implementation, on detecting no activity of the feeder unit for a pre-defined time period, the processor is configured to the perform the following: a) retrieve from the server real-time information associated with physiological parameters of the pet; and b) send an alert to the pet owner regarding the physiological parameters of the pet. In one implementation, the pre-defined time period is five days.
[0012] The present invention also discloses a method for managing pet feeding using a pet feeder unit, the method comprising: sensing one or more physiological parameters associated with a pet using two or more sensors configured on the pet feeder unit and dispensing pet food in a feeding bowl based on one or more physiological parameters associated with the pet.
[0013] In one implementation, the method further comprises: identifying the pet using an identification module and retrieving from a memory of the pet feeder unit information corresponding to the identified pet.
[0014] In one implementation, the method further comprises dispensing a specified quantity of the pet food using a dispensation module based on the one or more physiological parameters corresponding to the identified pet, wherein the pet food includes solid and liquid food.
[0015] In one implementation, the method further comprises sensing the weight of the feeding bowl using a weight sensing module coupled to the dispensation module.
[0016] In one implementation, the method further comprises facilitating audio and video communication between a pet owner and the pet using a communication module while the pet is eating the pet food.
[0017] In one implementation, the method further comprises retrieving from a server information associated with the one or more physiological parameters, wherein the one or more physiological parameters include Body Mass Index, medical history information, breed, age, sex, and activity levels of the pet.
[0018] In one implementation, the method further comprises retrieving from the server real-time information associated with the physiological parameters of the pet, sending an alert to the pet owner regarding the physiological parameters of the pet and detecting inactivity of the feeder unit for a pre-defined time period.
[0019] In one implementation, the method further comprises detecting inactivity of the feeder unit for a time period of five days.
BRIEF DESCRIPTION OF FIGURES
[0020] 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.
[0021] FIG. 1A illustrates a block diagram of a pet feeder unit, in accordance with an embodiment of the present disclosure.
[0022] FIG. 1B illustrates a block diagram of a pet feeder unit as a part of a pet management system, in accordance with another embodiment of the present disclosure.
[0023] FIG. 2 illustrates a block diagram of a pet feeder unit as a part of a pet management system, in accordance with another embodiment of the present disclosure.
[0024] FIG. 3 illustrates a block diagram for a method for managing pet feeding using a pet feeder unit, in accordance with another embodiment of the present disclosure.
DETAILED DESCRIPTION
[0025] In the present disclosure, a reference to the term “module” is understood as a set of hardware or software components or combination of both configured to achieve a specific function related to pet feeding or pet management.
[0026] In the present disclosure, a reference to the term “memory” is understood as a hardware or software component or combination of both, configured to store data, look-up tables, program instructions, and relevant information necessary for processing and executing operations related to pet feeding and pet management, including storing physiological parameters of pets and corresponding feeding data.
[0027] In the present disclosure, a reference to the term “connectivity module” is understood as the hardware or software component or combination of both responsible for enabling communication between the pet feeder unit and external devices or systems, including remote servers.
[0028] In the present disclosure, a reference to the term “dispensation module” is understood as the hardware or software component or combination of both configured to control and dispense a specified quantity of pet food based on the physiological parameters of the pet.
[0029] In the present disclosure, a reference to the term “identification module” is understood as a component used to recognize the identity of the pet and to retrieve from the memory corresponding feeding data and parameters.
[0030] In the present disclosure, a reference to the term “sensor” is understood as any device for detecting or measuring or monitoring, as the case be, any physiological parameters associated with the pet, such as biometric data, weight, or activity levels.
[0031] In the present disclosure, a reference to the term “communication module” is understood as the component that facilitates audio and video interaction between the pet owner and the pet through the pet feeder unit, either by wired or wireless technologies.
[0032] In the present disclosure, a reference to the term “server” is understood as a remote computing system that stores and processes data related to the pet’s physiological parameters and feeding behaviour for providing real-time updates to the pet feeder unit.
[0033] In the present disclosure, a reference to the term “weight sensing module” is understood as a sensor configured to measure the weight of food in the feeding bowl to ensure accurate dispensation of the specified quantity of pet food.
[0034] In the present disclosure, a reference to the term “biometric sensor” is understood as a sensor configured to detect and monitor biometric parameters of a pet, such as heart rate, temperature, or activity levels.
[0035] In the present disclosure, a reference to the term “AI/ML algorithms” is understood as artificial intelligence and machine learning algorithms being used to analyse physiological and behavioural data of a pet, detect anomalies, and optimize feeding schedules or health alerts.
[0036] FIG. 1A illustrates a block diagram of a pet feeder unit, in accordance with an embodiment of the present disclosure. The pet feeder unit 104A comprises a processor 106, a connectivity module 106A, and a memory 108 including stored data, look up tables, and executable program instructions. The pet feeder unit 100 further comprises two or more sensors 110 configured on the pet feeder unit 100, each sensor configured for sensing one or more physiological parameters associated with a pet. In one implementation, the feeder unit 104A is configured to dispense pet food in a feeding bowl FB in accordance with one or more parameters associated with a pet.
[0037] FIG. 1B illustrates a block diagram of a pet feeder unit 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 feeder unit 104A is part of a pet management system 100 that includes a server 102. In the system 100, the pet feeder unit 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 feeder unit 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. A user may interact with the server 102 using the user interface device 104B, 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.
[0038] In one implementation, the data associated with the physiological parameters of the pet captured 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 feeder unit 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.
[0039] FIG. 2 illustrates a block diagram of a pet feeder unit 204A as a part of a pet management system 200, in accordance with another embodiment of the present disclosure. As shown in FIG. 2, the pet feeder unit 204A, in accordance with one implementation, includes a processor 206, a connectivity module 206A, and a memory 208. In one implementation, the pet feeder unit 204A is a part of a system 200 that includes a server 202 and a user interface device 204B. The pet feeder unit 204A further includes two or more sensors 210. 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.
[0040] In one implementation, the one or more physiological parameters include Body Mass Index, medical history information, breed, age, sex, and activity levels of the pet. In one implementation, the two or more sensors include a biometric sensor, a GSM module, a weight sensor, an infrared sensor, and a microphone. In one implementation, the pet feeder unit 204A further comprises a GSM module, a speaker, and a display screen to facilitate the audio and video communication between a user interface device owned by the pet owner and the pet feeder unit 204A.
[0041] In one implementation, the pet feeder unit 204A further comprises an identification module 212 configured to identify the pet for retrieving from the memory relevant information corresponding to the identified pet. The identification module 212 may be implemented using various technologies, such as RFID (Radio Frequency Identification), biometric sensors, or other unique identifiers associated with the pet. For example, the identification module 212 may utilize an RFID tag embedded in a pet collar to detect presence of the pet presence near the feeder unit 204A. In response, the identification module 212 retrieves the pet's feeding preferences, physiological parameters, and health data stored in the memory 208 of the pet feeder unit 204A or the remote server 202.
[0042] The identification module 212 may be configured to scan for the presence of a pet as the pet approaches the feeder unit 204A. Upon identification of the pet, the feeder unit 204A is configured to retrieve data associated with the identified pet. The retrieved data may include physiological parameters such as Body Mass Index (BMI), activity levels, breed, age, sex, medical history, and any dietary restrictions or preferences. The retrieval and processing of the data allows the feeder unit 204A to dispense a specific type and quantity of food tailored to the pet’s individualized nutritional requirements. In one embodiment, the physiological parameters of the pet may be captured by a pet interface device worn by the pet. The pet interface device may include one or more sensors configured to monitor and detect the physiological parameters, wherein the detected parameters are communicated to the feeder unit 204A for further processing. The pet interface device may be wirelessly connected to the feeder unit 204A via any suitable communication protocol, including but not limited to, Bluetooth, Wi-Fi, or GSM, thereby enabling real-time data transmission.
[0043] In one alternative embodiment, the identification module 212 may utilize facial recognition technology. In this embodiment, a camera or other imaging device would capture the pet's image, and the system would compare the image against stored pet profiles to identify the pet. Facial recognition may be beneficial for households with multiple pets, ensuring that each pet receives the correct amount and type of food without requiring additional identifiers such as RFID tags.
[0044] In another alternative embodiment, the identification module 212 may use biometric data such as the pet's heart rate, temperature, or other physiological markers. A biometric sensor, integrated within the pet feeder unit or attached to the pet's collar, can measure these parameters and match them against the stored records to confirm the pet's identity.
[0045] In one implementation, the pet feeder unit 204A further comprises a dispensation module 214 configured to dispense a specified quantity of pet food corresponding to the one or more physiological parameters of the identified pet, wherein the pet food includes solid food and liquid food. The dispensation module 214 is operatively connected to both the identification module 212 and the memory 208, wherein the memory 208 stores data associated with the pet, which includes physiological parameters such as Body Mass Index (BMI), breed, age, sex, activity levels, medical history, and dietary preferences or restrictions. The dispensation module 214, upon receiving the appropriate data from the identification module 212, calculates the required amount and type of food to be dispensed according to the specific needs of the identified pet.
[0046] In one implementation, the dispensation module 214 is configured for dispensing both solid and liquid food. The dispensation module 214 may include separate containers or compartments for storing solid and liquid food items, each equipped with corresponding dispensing mechanisms. For solid food, the dispensation mechanism may involve a rotary motor, auger, or gravity-fed system that releases a predetermined portion of food into the feeding bowl. For liquid food, the dispensation mechanism may include a pump or valve system designed to release a specified quantity of liquid into the feeding bowl.
[0047] In an alternative implementation, the dispensation module 214 may be further configured to adjust the type of food dispensed based on health data of the pet. For example, if medical history of the pet indicates presence of a medical condition requiring a specialized diet, the dispensation module 214 may be programmed to dispense specific food items tailored to that condition. The pet feeder unit 204A may be connected to the server 202 that stores information about available pet food products, and the dispensation module 214 may retrieve information on nutritional content of various food types, allowing it to make informed decisions about the type of food to dispense.
[0048] In another implementation, the dispensation module 214 may also include an alert system to notify the pet owner if the food supply in the storage compartments is running low. This alert may be communicated through a mobile application, email, or other user interface device.
[0049] In one implementation, the pet feeder unit 204A further comprises a weight sensing module 216 configured on the feeding bowl FB and operatively coupled to the dispensation module 214. The weight sensing module 216 is designed to measure the weight of the food dispensed into the feeding bowl FB to ensure that the correct quantity of pet food is provided based on the physiological parameters of the identified pet. The weight sensing module 216 communicates the measured weight to the dispensation module 214, which controls the amount of food being dispensed.
[0050] The weight sensing module 216 may be implemented using various types of sensors, including but not limited to, load cells, strain gauges, or piezoelectric sensors, which are capable of detecting even small changes in weight. In one implementation, the weight sensing module 216 continuously monitors the weight of the food in the feeding bowl FB during the dispensation process. When the dispensed food reaches the specified quantity, the weight sensing module 216 signals the dispensation module 214 to stop the release of food to avoid overfeeding or underfeeding the pet.
[0051] In another implementation, the weight sensing module 216 may be configured to account for residual food left in the feeding bowl FB from previous feedings. In such cases, the weight sensing module 216 calculates the difference between the current weight of the feeding bowl FB and the specified target weight for the new feeding session. The dispensation module 214 can then adjust the amount of food to be dispensed accordingly, ensuring that the total food provided matches the required quantity based on the pet’s needs.
[0052] In one implementation, the pet feeder unit 204A further comprises a communication module 218 configured to facilitate audio and video communication between a pet owner and the pet while the pet is eating the pet food. The communication module 218 may include a camera, a microphone, and a speaker integrated within the pet feeder unit 204A. The camera allows the pet owner to visually monitor the pet during feeding, while the microphone and speaker enable two-way communication, allowing the pet owner to hear and speak to the pet.
[0053] The communication module 218 may be operatively connected to a user interface device 204B. In one example, the user interface device 204B may be a smartphone, tablet, or computer, through which the pet owner can initiate and manage communication with the pet. The communication module 218 may use various wireless communication protocols, including but not limited to Wi-Fi, Bluetooth, or cellular networks, to transmit audio and video data between the pet feeder unit 204A and the user interface device 204B. The pet owner may access a dedicated mobile application or web-based platform to interact with the communication module 218 using the user interface device 204B.
[0054] In one implementation, the communication module 218 may provide live streaming of video from the pet feeder unit 204A to the user interface device 204B. The video stream may be displayed in real-time, allowing the pet owner to observe the behavior of the pet. In some embodiments, the pet owner may facilitate recording of video or capturing of images through the communication module 218 for later review or sharing.
[0055] In an alternative implementation, the communication module 218 may include motion detection capabilities. The camera may be configured to detect the movement of the pet near the feeder unit 204A, and once motion is detected, the communication module 218 may send a notification to the user interface device 204B, prompting the pet owner to initiate communication. This feature ensures that the pet owner can monitor the pet's feeding activity even if they are not actively observing the live video feed.
[0056] In certain implementations, the communication module 218 may allow the pet owner to remotely control certain functions of the pet feeder unit 204A, such as initiating or pausing food dispensation or adjusting the quantity of food to be dispensed. In another implementation, the communication module 218 may be integrated with voice recognition software, enabling the pet owner to give verbal commands to the pet feeder unit 204A using the microphone of the user interface device 204B or the feeder unit 204A itself. Such commands may include adjusting the feeding schedule or interacting with the pet.
[0057] In another implementation, the communication module 218 may be used to provide the pet with pre-recorded messages from the pet owner. The pet owner may record and store audio or video messages in the pet feeder unit 204A, which can be played back to the pet during feeding times or when the pet approaches the feeder unit 204. This feature may help alleviate separation anxiety in pets and provide comfort to the pets through familiar sounds and voices.
[0058] In one implementation, upon detecting no activity of the feeder unit 204A for a pre-defined time period, the processor 206 is configured to retrieve real-time information from the server 202 regarding the physiological parameters of the pet. The physiological parameters may include, but are not limited to, Body Mass Index (BMI), activity levels, medical history, breed, age, and sex. The absence of activity refers to instances where the pet has not interacted with the feeder unit 204A, such as not approaching or consuming food from the feeder unit 204A.
[0059] In one implementation, the pre-defined time period may be set to five days. In alternative implementations, the pre-defined time period may be customized by the pet owner based on the specific needs and feeding habits of the pet. For example, in some cases, the pre-defined time period may be set to a shorter duration, such as one or two days, for pets with specific dietary or medical requirements. Conversely, the time period may be extended for pets that naturally consume food less frequently.
[0060] When the pre-defined time period elapses without any feeding activity, the processor 206 of the feeder unit 204A initiates a process to retrieve real-time information from the server 202. The server 202 stores updated physiological data related to the pet, which may have been collected by other devices, such as a wearable pet monitoring device. The real-time data allows the feeder unit 204A to analyze the current health and activity status of the pet and make appropriate adjustments to the feeding process if necessary.
[0061] In addition to retrieving real-time information from the server 202, the processor 206 is configured to send an alert to the pet owner regarding the physiological parameters of the pet. The alert may be delivered through a variety of communication channels, including a mobile application, email, or text message, depending on the configuration of the communication module 218. The alert provides the pet owner with an overview of the pet's physiological status, informing them of any potential issues, such as significant weight loss, inactivity, or deviation from normal feeding patterns.
[0062] In an alternative implementation, the processor 206 may be configured to automatically adjust the feeding schedule or quantity of food dispensed by the dispensation module 214 based on the real-time physiological parameters retrieved from the server 202. For example, if the retrieved data indicates that the pet has experienced a decrease in activity levels, the dispensation module 214 may reduce the amount of food dispensed to avoid overfeeding. Alternatively, if the data indicates an increase in the pet's activity or a decrease in weight, the processor 206 may instruct the dispensation module 214 to increase the amount of food dispensed accordingly.
[0063] FIG. 3 illustrates a block diagram for a method 300 for managing pet feeding using a pet feeder unit, in accordance with another embodiment of the present disclosure. At block 302, the method 300 includes sensing one or more physiological parameters associated with a pet using two or more sensors 210 configured on the pet feeder unit 204A. In one implementation, the sensors 210 may include biometric sensors, infrared sensors, and weight sensors, which monitor various parameters such as Body Mass Index (BMI), heart rate, and activity levels.
[0064] At block 304, the method 300 includes dispensing pet food in a feeding bowl FB based on the one or more physiological parameters associated with the pet.
[0065] In one implementation, the method 300 further comprises identifying the pet using the identification module 212. The identification module 212 may be configured to utilize technologies such as RFID or biometric recognition to identify the specific pet approaching the feeder unit 204A. Upon identification, the identification module 212 retrieves corresponding data from the memory 208 of the pet feeder unit 204A. The memory 208 stores pet-specific information such as dietary preferences, medical history, and prior feeding patterns, which are used by the dispensation module 214 to tailor the feeding process.
[0066] In one implementation, the method 300 further comprises dispensing a specified quantity of pet food using the dispensation module 214 based on the one or more physiological parameters corresponding to the identified pet. The dispensation module 214 may be configured to dispense both solid and liquid food. The processor 206 calculates the appropriate quantity based on the retrieved physiological parameters, which is then dispensed by the dispensation module 214.
[0067] In one implementation, the method 300 further comprises sensing the weight of the feeding bowl FB using a weight sensing module 216, which is coupled to the dispensation module 214. The weight sensing module 216 measures the weight of the food in the feeding bowl FB to ensure the dispensed quantity matches the specified amount determined by the physiological data of the pet. If the weight sensing module 216 detects that the dispensed amount is incorrect, it communicates this information to the dispensation module 214, which adjusts the food output accordingly.
[0068] In one implementation, the method 300 further comprises facilitating audio and video communication between a pet owner and the pet using a communication module 218 while the pet is eating the pet food. The communication module 218 includes a camera, microphone, and speaker for allowing the pet owner to interact with the pet remotely through a user interface device 204B.
[0069] In one implementation, the method 300 further comprises detecting inactivity of the feeder unit 204A for a pre-defined time period. If no activity is detected for a time period of five days, the processor 206 is configured to retrieve real-time information from the server 202 regarding the physiological parameters of the pet. Based on this data, the processor 206 may send an alert to the pet owner through the communication module 218, informing the owner of the pet's current health status and feeding behavior. The alert may indicate potential health concerns or suggest adjustments to the pet's feeding schedule. , Claims:We claim:
1. A pet feeder unit comprising:
a processor;
a connectivity module;
a memory including stored data, look up tables, and executable program instructions;
two or more sensors, each sensor being configured for sensing one or more physiological parameters associated with a pet;
wherein the feeder unit being configured to dispense pet food in a feeding bowl in accordance with the one or more parameters associated with a pet.
2. The pet feeder unit as claimed in claim 1, further comprising an identification module configured to identify the pet for retrieving from the memory relevant information corresponding to the identified pet.
3. The pet feeder unit as claimed in claim 1, further comprising a dispensation module configured to dispense a specified quantity of pet food corresponding to the one or more physiological parameters of the identified pet, wherein the pet food includes solid food and liquid food.
4. The pet feeder unit as claimed in claim 1, further comprising a weight sensing module configured on the feeding bowl and coupled to the dispensation module.
5. The pet feeder unit as claimed in claim 1, further comprising a communication module configured to facilitate audio and video communication between a pet owner and the pet while the pet is eating the pet food.
6. The pet feeder unit as claimed in claim 1, wherein the one or more physiological parameters include Body Mass Index, medical history information, breed, age, sex, and activity levels of the pet.
7. The pet feeder unit as claimed in claim 1, wherein the two or more sensors include a biometric sensor, a GSM module, a weight sensor, an infrared sensor, a microphone, a speaker, and a flat screen display.
8. The pet feeder unit as claimed in claim 5, further comprising a GSM module, a speaker, and a display screen to facilitate audio and video communication.
9. The pet feeder unit as claimed in claim 6, wherein, on detecting no activity of the feeder unit for a pre-defined time period, the processor is configured to the perform the following:
retrieve from the server real-time information associated with physiological parameters of the pet; and
send an alert to the pet owner regarding the physiological parameters of the pet.
10. A method for managing pet feeding using a pet feeder unit, the method comprising:
sensing one or more physiological parameters associated with a pet using two or more sensors configured on the pet feeder unit; and
dispensing pet food in a feeding bowl based on one or more physiological parameters associated with the pet.
11. The method as claimed in claim 10, further comprising:
identifying the pet using an identification module; and
retrieving from a memory of the pet feeder unit information corresponding to the identified pet.
12. The method as claimed in claim 10, further comprising dispensing a specified quantity of the pet food using a dispensation module based on the one or more physiological parameters corresponding to the identified pet, wherein the pet food includes solid and liquid food.
13. The method as claimed in claim 10, further comprising sensing the weight of the feeding bowl using a weight sensing module coupled to the dispensation module.
14. The method as claimed in claim 10, further comprising facilitating audio and video communication between a pet owner and the pet by using a communication module while the pet is eating the pet food.
15. The method as claimed in claim 10, further comprising retrieving from a server information associated with the one or more physiological parameters, wherein the one or more physiological parameters include Body Mass Index, medical history information, breed, age, sex, and activity levels of the pet.
16. The method as claimed in claim 15, further comprising:
retrieving from the server real-time information associated with the physiological parameters of the pet; and
sending an alert to the pet owner regarding the physiological parameters of the pet; and
detecting inactivity of the feeder unit during a pre-defined time period.
Dated this

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

Documents

Application Documents

# Name Date
1 202421083515-STATEMENT OF UNDERTAKING (FORM 3) [30-10-2024(online)].pdf 2024-10-30
2 202421083515-PROOF OF RIGHT [30-10-2024(online)].pdf 2024-10-30
3 202421083515-POWER OF AUTHORITY [30-10-2024(online)].pdf 2024-10-30
4 202421083515-FORM 1 [30-10-2024(online)].pdf 2024-10-30
5 202421083515-FIGURE OF ABSTRACT [30-10-2024(online)].pdf 2024-10-30
6 202421083515-DRAWINGS [30-10-2024(online)].pdf 2024-10-30
7 202421083515-DECLARATION OF INVENTORSHIP (FORM 5) [30-10-2024(online)].pdf 2024-10-30
8 202421083515-COMPLETE SPECIFICATION [30-10-2024(online)].pdf 2024-10-30
9 Abstract1.jpg 2024-12-07
10 202421083515-FORM FOR SMALL ENTITY [24-01-2025(online)].pdf 2025-01-24
11 202421083515-EVIDENCE FOR REGISTRATION UNDER SSI [24-01-2025(online)].pdf 2025-01-24
12 202421083515-MSME CERTIFICATE [06-03-2025(online)].pdf 2025-03-06
13 202421083515-FORM28 [06-03-2025(online)].pdf 2025-03-06
14 202421083515-FORM-9 [06-03-2025(online)].pdf 2025-03-06
15 202421083515-FORM 18A [06-03-2025(online)].pdf 2025-03-06
16 202421083515-FER.pdf 2025-04-24
17 202421083515-FORM 4 [23-10-2025(online)].pdf 2025-10-23
18 202421083515-OTHERS [24-11-2025(online)].pdf 2025-11-24
19 202421083515-FER_SER_REPLY [24-11-2025(online)].pdf 2025-11-24
20 202421083515-CORRESPONDENCE [24-11-2025(online)].pdf 2025-11-24
21 202421083515-CLAIMS [24-11-2025(online)].pdf 2025-11-24

Search Strategy

1 202421083515_SearchStrategyNew_E_SearchHistoryE_24-04-2025.pdf