Interactive Pet Feeder with Activity Tracking and Food Dispensing
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Solution Overview
Problem
Domesticated animals, especially dogs and cats, suffer from boredom, inactivity, and obesity due to lack of cognitive stimulation and proper exercise opportunities while their owners are away, and existing technologies fail to effectively manage their food intake and activity levels without manual intervention.
Innovation Solution
The CLEVERPET Hub, a device that integrates weight measurement, activity tracking, and food dispensing, uses reflectivity measurement, image recognition, and genetic engineering to monitor and manage animal fitness, behavior, and food intake, providing interactive games and training to encourage physical activity and healthy eating habits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual mechanisms are used to manage pet food intake (such as food logs), then pet owners can monitor food consumption, but humans have difficulty utilizing them due to time constraints and emotional reasons
Solution Approach 1:
The system enables self-service by having the pet interact with the device autonomously. The pet must perform specific actions (touching buttons, following visual cues) to receive food rewards, eliminating the need for manual food logging by owners. The device automatically tracks and records all food dispensing events without human intervention.
Solution Approach 2:
The patent replaces manual mechanical tracking (food logs, manual recording) with an automated electronic system that uses visual displays, touch interfaces, and automated dispensing mechanisms. The system substitutes human effort with machine-based monitoring and control.
2Adaptability or versatility
If devices are designed to interact with people (entertainment devices in most homes), then they provide cognitive stimulation for humans, but they cannot easily be controlled or accessed by a domestic pet
Solution Approach 1:
The device features localized interaction zones with distinct visual and tactile properties designed specifically for pet perception. Different areas of the display show different visual cues (colors, moving images) that appeal to animal senses, and buttons are positioned and styled for paw or nose interaction rather than human finger use.
Solution Approach 2:
Instead of adapting human devices for pets, the system inverts the approach by designing a completely new interface paradigm where pets are the primary users. The control mechanism is reversed: rather than pets manipulating complex controls, the system uses visual displays and simple touch zones that respond to natural pet behaviors like pawing or nose-touching.
3Productivity
If animals are left home alone for hours, then owners can work, but animals suffer from boredom, inactivity, and cognitive underuse
Solution Approach 1:
The system prepares and queues multiple training sessions and games in advance before the owner leaves. The device automatically initiates these pre-programmed activities at scheduled times, ensuring continuous engagement without requiring real-time owner intervention. Food rewards are pre-loaded and the system autonomously manages the entire interaction sequence.
Solution Approach 2:
The device provides immediate visual and tactile feedback to the pet during each interaction, reinforcing desired behaviors and maintaining engagement. The system monitors pet responses and adjusts subsequent activities based on performance, creating a dynamic feedback loop that keeps the animal mentally stimulated throughout the owner's absence.
4Measurement precision
If the CLEVERPET Hub uses reflectivity measurement and image recognition to monitor animal fitness, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system uses a single camera or sensor array that serves multiple functions: capturing images for food intake analysis, tracking movement for activity monitoring, and detecting posture changes for fitness assessment. This multi-functional approach eliminates the need for separate specialized sensors for each measurement type, reducing overall system complexity.
Solution Approach 2:
The patent combines reflectivity measurement and image recognition capabilities into an integrated monitoring system. Rather than using separate devices for each function, the system merges these capabilities into a unified platform that processes multiple types of data simultaneously from the same hardware components.
Data Source
AI summary
Devices, systems and methods for animal training, animal feeding, animal management, animal fitness, monitoring and managing animal food intake, remote animal engagement, behavioral training and animal entertainment are disclosed. Embodiments of the present invention provide devices, systems and methods for measuring a dog’s energy expenditures and/or movements, and providing signals to the dog to engage in activities or games to earn food. In one aspect, one or more of the dog’s activity level, age, weight, body mass, and/or other health information is utilized to determine an appropriate food intake level for the dog. By measuring the dog’s activity, the amount of calories the dog needs and/or has utilized may be determined. By encouraging activity by the dog, the dog’s health may improve, even if the dog’s weight remains unchanged. Among other embodiments disclosed herein, various mechanisms capable of moderating animal noise and/or behavior are disclosed.