Intelligent Pet Feeding With Adaptive Dietary Feedback

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing automatic pet feeders struggle to meet the specific dietary needs of individual pets, potentially leading to health risks due to fixed feeding programs that do not account for varying food preferences and eating habits.

Innovation Solution

An intelligent feeding method and device that utilizes a processor to obtain a current feeding scheme, dispense food based on this scheme, gather feeding information, and determine a target feeding scheme based on historical data and current information to provide personalized feeding.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Extent of automation

If automatic feeders follow fixed programs for dispensing food and water, then feeding operations are automated and convenient, but they cannot meet the specific dietary needs of individual pets

Engineering Contradiction:
Improvefeeding automationVSAvoiddietary adaptability
Core Design Contradiction:
Extent of automationVSAdaptability or versatility

Solution Approach 1:

The system collects feeding information including video data of pets eating, weight changes, and consumption patterns. This feedback is processed to dynamically adjust feeding schemes, enabling the automated feeder to adapt to individual pet needs while maintaining automation convenience

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The feeding scheme transitions from static fixed programs to dynamic adjustable parameters. The system continuously updates feeding amounts, frequencies, and types based on real-time pet condition data, allowing the automated feeder to adapt its behavior to each pet's specific dietary requirements

Inventive Principle:
Principle #15Dynamics

2Ease of operation

If fixed feeding programs are used, then device operation is simple, but health risks may occur due to inability to meet individual dietary needs

Engineering Contradiction:
Improveoperation simplicityVSAvoidhealth safety
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The system automatically monitors pet weight, analyzes video feeding behavior, and adjusts feeding schemes without requiring manual intervention. This self-service capability maintains operational simplicity while improving health safety through continuous adaptation to individual pet needs

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

Real-time feedback from weight sensors and video analysis enables the system to detect health-related changes in pet eating patterns and automatically adjust feeding parameters, ensuring health safety without complicating user operation

Inventive Principle:
Principle #23Feedback

3Adaptability or versatility

If personalized feeding schemes are implemented, then dietary needs are met, but device complexity increases

Engineering Contradiction:
Improvefeeding personalizationVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system integrates multiple functions including weight monitoring, video recording, AI analysis, and automated feeding adjustment into a single platform. This multi-functionality enables personalized feeding without requiring separate complex devices for each monitoring and control task

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS20250248365A1Intelligent feeding methods and devices
Publication Date: 2025.08.07 TAN XUAN
  • US20250248365A1 patent drawing
  • US20250248365A1 patent drawing
  • US20250248365A1 patent drawing

AI summary

Embodiments of the present disclosure provide an intelligent feeding method and device. The intelligent feeding method comprises obtaining a current feeding scheme of a target object, dispensing food to the target object based on the current feeding scheme, and obtaining current feeding information of the target object when dispensing food to the target object based on the current feeding scheme, determining a target feeding scheme for the target object based on the current feeding information, historical feeding data, and the current feeding scheme, and dispensing food to the target object based on the target feeding scheme.