AR E-commerce Product Visualization for Home Improvement
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Solution Overview
Problem
Current augmented reality e-commerce platforms face challenges in providing immersive and effective product visualization and purchase experiences, particularly in home improvement settings, where customers struggle to accurately assess product fit and compatibility with physical environments, leading to inefficiencies in design and purchase decisions.
Innovation Solution
An augmented reality e-commerce system that enables users to visualize 3D products within their actual environment using captured environment data, allowing for real-time rendering and interaction, with features like object prioritization, haptic feedback, and constraint detection to ensure accurate product placement and compatibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional e-commerce platforms are used for home improvement products, then the purchasing process is simple, but customers cannot accurately assess product fit and compatibility with physical environments
Solution Approach 1:
The patent creates virtual copies of physical products that can be overlaid onto captured images of the customer's actual environment. This allows customers to visualize exactly how a product will look and fit in their space before purchasing, eliminating the need to imagine placement and providing accurate fit assessment without losing environmental context information.
Solution Approach 2:
The augmented reality system acts as an intermediary between the customer, the product, and the physical environment. It mediates the assessment process by overlaying virtual product representations onto real environment images, enabling accurate fit and compatibility evaluation that neither traditional e-commerce nor pure virtual reality could achieve alone.
2Measurement precision
If augmented reality visualization is implemented, then product fit assessment improves, but system complexity increases
Solution Approach 1:
The patent implements a universal augmented reality platform that can handle multiple product types (furniture, appliances, decor) and multiple assessment functions (fit, scale, style, compatibility) through a single system. This multi-functional approach reduces overall complexity compared to having separate specialized systems for each product category or assessment type.
Solution Approach 2:
The system automatically captures environment images, processes them, and generates appropriate virtual product placements without requiring complex manual configuration. The automated image processing and virtual overlay placement reduce the complexity burden on the customer while maintaining high measurement precision for product fit assessment.
3Measurement precision
If virtual product overlay is used, then customer decision-making improves, but processing time increases
Solution Approach 1:
The system performs preliminary actions by pre-processing environment images and pre-positioning virtual products based on detected surfaces and spatial features before the customer even selects a product. This preliminary environment analysis and virtual object preparation significantly reduces the time required when the customer is ready to make a compatibility assessment.
Solution Approach 2:
The patent replaces manual measurement and assessment mechanics with automated computer vision and image processing systems. The system automatically detects surfaces, calculates dimensions, positions virtual objects, and assesses compatibility without requiring manual measurement tools or iterative trial-and-error placement, dramatically reducing processing time while maintaining high accuracy.
Data Source
AI summary
Augmented reality e-commerce may be useful for home improvement store chains that offer products and services. Initially, environmental data that includes spatial data or image data may be received from scanning sensors. The environmental data may be analyzed to detect recognizable patterns that represent environmental features. The environmental features may include surfaces or objects. Subsequently, a user selection of a surface or an object as a feature that is related to a desired product may be received. The feature is then compared to existing data to determine a specific product that fits the environment, in which the existing data includes at least one of virtual image data or product data. Further, an augmented reality environment that corresponds to the environment may be generated for presentation via an augmented reality device, in which the augmented reality environment may present a three-dimensional (3D) virtual representation of the specific product.