Augmented Reality Pet Supply Mapping for Accurate Fit Visualization
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Solution Overview
Problem
Pet owners face challenges in selecting pet supplies that fit their pets accurately due to the lack of direct representation, leading to increased product returns and operational costs, as conventional size guidelines and photos provide only a general impression.
Innovation Solution
A system that generates composite visual representations by creating individual mappings for pets and selected items, predicting pet growth, and combining these mappings to provide a realistic augmented reality view of how the pet will interact with the items.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional size guidelines and photos are used for pet supply selection, then the selection process is simple and quick, but the accuracy of fit representation is insufficient
Solution Approach 1:
The patent creates virtual copies (mappings) of the pet and pet supplies that can be combined and displayed in an augmented reality interface. Instead of using physical trials or complex measurements, the system generates digital representations that can be overlaid and compared, providing accurate fit visualization without physical complexity
Solution Approach 2:
The patent transitions from 2D photos to 3D augmented reality mappings, adding a dimensional layer that enables more accurate spatial representation of how pet supplies fit on pets. This dimensional enhancement provides better fit accuracy while maintaining computational feasibility
2Reliability
If general photos of pets using products are provided, then the information is easy to display, but the confidence level about product suitability remains low
Solution Approach 1:
The patent generates mappings that preserve and highlight local characteristics of both the pet and pet supply, such as specific body regions and product contact areas. This localized detail representation maintains important fit information while providing comprehensive suitability assessment
Solution Approach 2:
The patent divides the pet and pet supply into segmented mappings that can be individually analyzed and combined. This segmentation allows for detailed comparison of specific regions and features, preserving critical fit information that would be lost in general photos
3Productivity
If pet owners purchase supplies based on general guidelines, then the purchasing process is efficient, but product returns increase due to poor fit
Solution Approach 1:
The patent performs preliminary visualization of pet-supply fit combinations before purchase, allowing pet owners to assess suitability in advance. This preliminary assessment action reduces the need for returns while maintaining efficient purchasing, as decisions are made with better information
4Measurement precision
If multiple pet supplies need to be tried on a growing pet, then the best fit can be found, but the time and cost of repeated purchases increase
Solution Approach 1:
The patent enables preliminary assessment of multiple pet supply options against current and future pet sizes through augmented reality mappings. Pet owners can evaluate several products virtually before purchasing, reducing the need for repeated purchases as the pet grows
Solution Approach 2:
The patent creates dynamic mappings that can adapt to pet growth, allowing pet owners to assess how current supplies will fit as the pet develops. This dynamic visualization reduces the frequency of repurchases by enabling better long-term fit assessment
Data Source
AI summary
Methods and techniques for generating a composite visual representation that integrates visual data of a pet with potential purchased items are provided. Visual data of a pet is received. Features of the pet are extracted by analyzing the visual data. A first mapping for the pet is generated based on the extracted features using one or more computer vision algorithms. Measurement data of a pet-related item selected by a user is collected. A second mapping for the pet-related item is generated based on the measurement data. A third mapping that corresponds to one or more dimensional differences between the pet in the first mapping and the pet-related item in the second mapping is generated. A composite mapping is created by combining the first, second and third mappings. The composite mapping is displayed in an augmented reality environment.