Topological Model Generation Using Radio Waveform Reflections
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Solution Overview
Problem
Existing millimeter wave body scanners have limitations in scanning size and shape due to their fixed design, making it difficult to generate flexible topological models of objects.
Innovation Solution
A method and device that use pose data and distance data obtained from radio waveforms reflected from an object to generate a topological model, allowing for flexible representation of object geometry, including surface and volume models, suitable for various applications such as augmented reality, security, and fitness tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed millimeter wave body scanner is used, then the scanning process is stable and reliable, but the scanning size and shape are limited
Solution Approach 1:
The patent replaces the fixed mechanical millimeter wave scanner with a portable device using radio waveforms and pose data. Instead of a complex fixed scanner structure, the system uses a mobile device with cameras and sensors that can freely move around the object, substituting mechanical scanning infrastructure with flexible computational imaging
Solution Approach 2:
The portable device serves multiple functions: it captures images, tracks pose, receives radio waveforms for distance measurement, and generates topological models. This multi-functional approach eliminates the need for dedicated fixed scanner infrastructure while achieving versatile scanning capabilities for various object sizes and shapes
2Adaptability or versatility
If a portable device with radio waveforms is used, then scanning flexibility is improved, but measurement precision must be maintained
Solution Approach 1:
The patent uses radio waveforms as an intermediary to measure distance between the portable device and the object. The radio waveform reflects off the object and returns to the device, providing precise distance measurements without requiring direct physical contact or complex mechanical positioning, thus maintaining accuracy while enabling portability
Solution Approach 2:
The system continuously receives feedback from radio waveform reflections and adjusts measurements in real-time. By processing the reflected waveforms and comparing them with pose data from cameras and sensors, the system maintains measurement precision despite the portable device's movement, ensuring accurate topological model generation
3Manufacturing precision
If pose data and distance data are processed together, then topological model accuracy is improved, but data processing complexity increases
Solution Approach 1:
The patent merges pose data from cameras and sensors with distance data from radio waveforms into a unified processing framework. By combining these data streams and processing them together through coordinate transformation and point cloud generation, the system achieves high topological model accuracy while consolidating processing operations into an integrated system
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
Enables the creation of accurate and flexible topological models of objects, including humans, allowing for applications like virtual fitting, security screening, and fitness tracking, while overcoming the size and shape limitations of traditional scanners.
Implementation Method 1
distance data representative of a distance between the object and a receiver during the observation of the environment, using at least one radio waveform reflected from the object and received by the receiver
Data Source
AI summary
A method comprising: obtaining pose data representative of a pose of a portable device during observation of an environment comprising an object; obtaining distance data representative of a distance between the object and a receiver during the observation of the environment, using at least one radio waveform reflected from the object and received by the receiver; and processing the pose data and the distance data to generate a topological model of the object.