Virtual Animal Interaction Platform With ML Compatibility Scoring

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Solution Overview

Problem

Existing systems for human-animal interactions, such as traditional pet adoption and animal therapy, are limited by geographical constraints, inconsistent availability, and lack of flexible, accessible alternatives, restricting meaningful engagement and compatibility assessment.

Innovation Solution

A system utilizing a camera unit, interaction module, and machine learning model to facilitate virtual human-animal interactions, enabling real-time video capture, interactive actions, and behavioral analysis to determine compatibility scores, with features like treat dispensers and audio-visual interfaces, and user engagement rewards.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If traditional pet adoption model is used, then in-person interaction and screening can be conducted, but geographical proximity and fixed hours are required, reducing accessibility

Engineering Contradiction:
ImproveAccessibility to animal interactionVSAvoidFlexibility of interaction timing and location
Core Design Contradiction:
Ease of operationVSAdaptability or versatility

Solution Approach 1:

The patent creates a virtual copy of the in-person adoption experience through video streaming, allowing users to interact with animals remotely. The system captures real-time video feeds from shelter locations and transmits them to user devices, replicating the visual and interactive aspects of physical visits without requiring geographical proximity or adherence to fixed hours.

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The patent introduces a digital platform as an intermediary between users and animals. This platform mediates the interaction by transmitting video signals, receiving user inputs, and facilitating remote communication, thereby eliminating the need for direct physical presence while maintaining the essence of the adoption process.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If in-person shelter visits are required, then compatibility assessment can occur, but user time and shelter staff availability are constrained

Engineering Contradiction:
ImproveCompatibility assessment accuracyVSAvoidTime for booking and visiting shelter
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent enables users to conduct compatibility assessments at their convenience by providing on-demand access to animal video feeds. Users can interact with animals, observe behaviors, and make compatibility determinations without needing to schedule appointments or travel to the shelter, thereby eliminating time losses associated with traditional visiting arrangements.

Inventive Principle:
Principle #10Preliminary action

3Adaptability or versatility

If physical presence at shelter is mandatory, then animal interaction can occur, but geographical and scheduling constraints limit participation

Engineering Contradiction:
ImproveRange of user participationVSAvoidSystem infrastructure requirements
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent creates a universal system that can be accessed from any location with internet connectivity using standard devices. The platform serves multiple functions including video streaming, user input reception, behavioral analysis, and compatibility assessment, thereby expanding participation range without requiring specialized infrastructure at each access point.

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

Data Source

PatentUS20250356694A1Virtual Interaction System for Animal Accommodations
Publication Date: 2025.11.20 AUCLAIR BUDDY JAMES
  • US20250356694A1 patent drawing
  • US20250356694A1 patent drawing
  • US20250356694A1 patent drawing

AI summary

A system and method for facilitating virtual human-animal interactions are disclosed in this disclosure. The system may include at least one camera unit configured to capture real-time video of an animal and an interaction module configured to perform an interactive action with the animal based on a user input. Further, an analysis module may receive user input, trigger the interaction module to perform the interactive action based on the user input, receive a real-time video of the animal from the camera unit, and feed all of it to a machine learning ML model. The ML model may be configured to detect behavior of the animal, in response to the interactive action, determine a compatibility score associated with compatibility of the animal with the user based on the behavior, and display the compatibility score on a user device.