INTELLIGENT PET FEEDING MONITORING SYSTEM AND DESIGN

Abstract

This invention discloses a sophisticated automated pet feeder system that combines precise portion control, real-time monitoring, data analytics, and user-friendly mobile app control. The system utilizes integrated sensors, machine learning algorithms, and smart home integration to provide pet owners with actionable insights and proactive management capabilities, thereby significantly enhancing pet health, preventing obesity, and promoting responsible pet ownership.

Specification

Description:FIELD OF THE INVENTION
This invention relates to the field of pet care technology, specifically automated pet feeders, and more particularly to a system that combines automated feeding with real-time monitoring, advanced data analytics, and a user-friendly mobile interface, designed to improve pet health, prevent obesity and related health issues, and facilitate responsible pet ownership. The invention focuses on addressing the limitations of existing automated feeders by providing a more sophisticated, connected, and user-centric approach to pet feeding management.
BACKGROUND OF THE INVENTION
Maintaining a pet's health and well-being often requires diligent attention to their dietary needs, including consistent feeding schedules, appropriate portion sizes, and nutritional balance. However, the realities of modern life frequently present challenges for pet owners in achieving optimal dietary management. Busy lifestyles often lead to inconsistent feeding times, resulting in digestive issues and behavioral problems such as anxiety or food aggression in pets. The lack of precise control over portion sizes contributes to a significant prevalence of pet obesity and related health issues such as diabetes, heart disease, and joint problems. Traditional methods of feeding, relying heavily on manual monitoring and record-keeping, are prone to human error and lack the data-driven insights necessary for effective dietary management. While automated pet feeders exist, many offer only basic functionalities, such as pre-programmed feeding schedules, without advanced features such as real-time monitoring, data analysis, and user-friendly interfaces that leverage smart technology. These shortcomings often lead to inadequate monitoring, preventing early detection of potential health concerns and hindering proactive intervention. Furthermore, remote access and control capabilities are frequently lacking, making it difficult for pet owners to manage their pets' diets effectively when away from home. The lack of integration with smart home ecosystems further limits the convenience and overall user experience. This invention aims to comprehensively address these limitations and shortcomings of existing solutions by integrating advanced technology, intuitive design, and data-driven insights to improve pet health management.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
The Intelligent Pet Feeding Monitoring System (IPFMS) is an innovative solution designed to enhance pet care through a combination of automated feeding, real-time monitoring, data analytics, and convenient mobile app control. The system consists of a sophisticated automated feeder unit, a user-friendly mobile application, and advanced data analytics algorithms. The automated feeder unit utilizes a precise dispensing mechanism to deliver pre-programmed amounts of pet food at specified times. The mobile application serves as the central control interface, enabling users to effortlessly customize feeding schedules, adjust portion sizes, and monitor food levels in real-time. Integrated sensors within the feeder provide continuous monitoring, immediately alerting users to low food levels or irregular feeding patterns. The advanced data analytics engine employs machine learning algorithms to analyze the collected data, offering invaluable insights into pet feeding behavior, nutritional intake, and potential health issues. The IPFMS seamlessly integrates with various smart home ecosystems via Wi-Fi and Bluetooth connectivity, providing remote access and control capabilities for maximum convenience.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
FIGURE 3.1: HARDWARE INTRODUCTION DIAGRAM
FIGURE 3.8: RAINDROP SENSOR
FIGURE 4.1: MAIN PROGRAM FLOW CHART
FIGURE 5.2: INITIAL SCREEN DISPLAY
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms "a"," "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises," "comprising," "includes" and/or "including," when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", "third", and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The IPFMS comprises three main components: a robust and sophisticated automated feeder unit, a user-friendly mobile application, and advanced data analytics functionality. The automated feeder unit is constructed from durable, pet-safe materials and designed for easy cleaning and maintenance. The core of the unit is a precise dispensing mechanism, capable of accurately delivering pre-determined portion sizes of dry or semi-dry pet food. This mechanism is controlled by the system's internal microcontroller, which receives instructions from the mobile application. A suite of integrated sensors continually monitors the food level within the feeder, accurately measuring the remaining food quantity. These sensors communicate wirelessly with the system's microcontroller, which transmits data wirelessly to the mobile application. The mobile application provides a user-friendly, intuitive interface for controlling the feeding process. Users can easily program custom feeding schedules, adjust portion sizes, and view feeding history and nutritional data. The app delivers real-time alerts for low food levels, allowing pet owners to promptly replenish supplies and prevent feeding disruptions. The application generates comprehensive reports and insights into the pet's dietary habits and nutritional intake, facilitating informed decision-making. These reports, combined with the real-time data and alerts, empower pet owners to take proactive steps towards ensuring optimal pet health. Central to the IPFMS is a sophisticated data analytics engine that employs advanced machine learning algorithms. This engine continuously analyzes the data collected from the sensors, providing users with insights into feeding patterns and nutritional intake. By identifying trends, anomalies, and potential risks, the system assists pet owners in adjusting feeding schedules and dietary plans to prevent overfeeding, obesity, and other health complications. This advanced analytical capability sets the IPFMS apart from simpler automated feeders and provides users with a powerful tool for proactive and informed pet care. The system integrates seamlessly with various smart home devices via Wi-Fi and Bluetooth connectivity. This integration allows for remote access and control, empowering pet owners to manage their pet's diet from anywhere in the world. Moreover, voice control compatibility with virtual assistants further enhances usability and convenience.
, Claims:1. An intelligent pet feeding monitoring system, comprising an automated pet feeder unit having a precise dispensing mechanism controlled by a mobile application, said dispensing mechanism capable of handling various types of dry and semi-dry pet food.
2. The system, as claimed in Claim 1, further comprising a plurality of sensors for monitoring food levels and the amount of food dispensed, said sensors providing real-time data to a mobile application.
3. The system, as claimed in Claim 2, wherein said mobile application provides a user-friendly interface for programming feeding schedules, adjusting portion sizes, viewing feeding history, and receiving real-time alerts.
4. The system, as claimed in Claim 3, further comprising a data analytics engine employing machine learning algorithms to analyze feeding patterns and suggest dietary adjustments.
5. The system, as claimed in Claim 4, wherein said data analytics engine generates reports and insights into pet dietary habits and potential health issues.
6. The system, as claimed in Claim 5, wherein said system includes connectivity for remote access and control via Wi-Fi and Bluetooth.
7. The system, as claimed in Claim 6, further comprising integration with at least one smart home device for voice-controlled operation.
8. The system, as claimed in Claim 7, wherein said automated pet feeder unit is constructed

from durable, pet-safe materials and designed for easy cleaning and maintenance.

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