Infrared 3D Body Scanning for Personalized Item Recommendations
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Solution Overview
Problem
Current online shopping lacks the ability for users to physically interact with items before purchase, leading to potential mismatches in fit and personal taste, resulting in wasted time and money.
Innovation Solution
An infrared-driven item recommendation system that uses 3D imaging and depth mapping to capture user dimensions, allowing for personalized item recommendations based on compatibility, such as gloves or watches, by scanning body parts or objects with infrared devices and providing compatible items for purchase.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If online shopping is used to purchase items, then convenience and accessibility are improved, but the ability to physically interact with items before purchase is lost, leading to potential fit and taste mismatches
Solution Approach 1:
The system performs preliminary scanning of the user's body parts (hands, feet, etc.) to capture dimensional data before the shopping process begins. This preliminary action enables the system to pre-filter and recommend items that are likely to fit the user, eliminating the need for physical trial and reducing returns.
Solution Approach 2:
The system creates a digital copy of the user's body parts through infrared scanning, generating 3D models and depth maps. This digital copy serves as a virtual surrogate for physical interaction, allowing the system to accurately determine dimensions and match them with appropriate item sizes without requiring the user to physically handle items.
2Productivity
If traditional online shopping without physical interaction is used, then shopping speed is improved, but item compatibility and personalization are reduced
Solution Approach 1:
The system performs preliminary scanning of the user's body parts (hands, feet, etc.) to capture dimensional data before the shopping process begins. This preliminary action enables the system to pre-filter and recommend items that are likely to fit the user, eliminating the need for physical trial and reducing returns.
Solution Approach 2:
The system uses the scanned dimensional data to provide feedback in the form of personalized item recommendations. The feedback mechanism ensures that recommended items match the user's physical characteristics, thereby maintaining personalization while preserving shopping speed through automated matching algorithms.
3Measurement precision
If infrared scanning technology is implemented to capture user dimensions, then item recommendation accuracy is improved, but system complexity increases
Solution Approach 1:
The infrared device is designed to perform multiple functions: capturing images, generating 3D models, creating depth maps, and determining dimensions of various body parts. This multi-functionality reduces the need for separate specialized devices, thereby managing system complexity while maintaining measurement precision.
Solution Approach 2:
The system uses an intermediary processing layer that converts raw infrared scan data into meaningful dimensional information. This intermediary layer includes algorithms for generating 3D models and depth maps, which simplify the complex task of directly interpreting infrared data and matching it with item specifications.
4Measurement precision
If detailed 3D imaging and depth mapping are used to determine user dimensions, then personalization accuracy is improved, but data processing time and computational resources increase
Solution Approach 1:
The system performs preliminary scanning of the user's body parts (hands, feet, etc.) to capture dimensional data before the shopping process begins. This preliminary action enables the system to pre-filter and recommend items that are likely to fit the user, eliminating the need for physical trial and reducing returns.
Solution Approach 2:
The system creates a digital copy of the user's body parts through infrared scanning, generating 3D models and depth maps. This digital copy serves as a virtual surrogate for physical interaction, allowing the system to accurately determine dimensions and match them with appropriate item sizes without requiring the user to physically handle items.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances the online shopping experience by ensuring items are physically compatible and personalized to the user, reducing the need for returns and improving the efficiency of finding suitable products.
Implementation Method 1
an infrared device(s) may scan or capture a portion of a user, such as a hand of the user. The scanned or captured data can used to generate a three dimensional (3D) image of the portion and depth map information for the image
Data Source
AI summary
Techniques for detecting dimensions of an object from a three dimensional (3D) image may be provided. Dimensions of an object may be determined based upon a received 3D image and calibration information for calibrating a dimension related to the 3D image. The calibration information may be utilized for calibrating aspect ratios of the 3D image. In an example, a recommended item may be identified and presented to the user based on the determined dimensions of the object.