Handheld 3D Scanner With Rotatable Module
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Solution Overview
Problem
Current 3D scanning techniques face challenges with relative motion between the scanner and object, non-Lambertian materials, and varying lighting conditions, particularly requiring precise control and multiple images for accurate data capture, which limits their effectiveness in capturing high-resolution data efficiently.
Innovation Solution
A handheld data acquisition system with a rotatable scanner module and dual sensors, one with a wider field of view, allows for real-time feedback and automatic adjustment of scanning modes to ensure comprehensive data capture, including areas difficult to reach, while projecting structured light patterns to enhance data accuracy and reduce the need for multiple images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple images are captured per data set to improve accuracy, then measurement precision is improved, but loss of time increases due to slower scanning speed
Solution Approach 1:
The system captures images continuously at high frame rates (e.g., 60 fps or higher) without interruption, allowing multiple images to be captured per data set while maintaining fast scanning speed. The continuous capture enables robust 3D reconstruction even with relative motion between scanner and object.
2Productivity
If high frame rate capture is used to reduce scanning time, then productivity is improved, but measurement precision deteriorates due to motion artifacts
Solution Approach 1:
The system dynamically adapts to relative motion between the scanner and object by using high frame rate capture and algorithms that can handle motion. The high temporal resolution allows the system to track and compensate for motion, maintaining measurement precision even during handheld scanning with natural hand movements.
3Ease of operation
If discrete patterns are used to simplify calibration, then ease of operation is improved, but manufacturing precision deteriorates due to lower resolution
Solution Approach 1:
The system uses discrete binary patterns that serve multiple functions: they are simple to project and capture, require minimal calibration, and can achieve sub-pixel measurement precision through phase-shifting algorithms. The same discrete patterns enable both easy operation and high precision by combining simplicity with sophisticated processing.
4Manufacturing precision
If continuous patterns are used to achieve sub-pixel measurements, then manufacturing precision is improved, but device complexity increases due to calibration requirements
Solution Approach 1:
The system uses discrete binary patterns that are simple copies of standard image patterns, avoiding the need for complex continuous grayscale pattern generation. These discrete patterns can be directly projected using standard digital projectors without requiring precise color and intensity calibration, yet still enable sub-pixel precision through algorithmic processing of the captured images.
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 high-accuracy, low-cost 3D scanning with improved data quality and reduced user intervention, allowing for precise capture of hard-to-reach areas and automatic removal of unwanted data, such as the user's hand, resulting in more accurate and efficient 3D models.
Implementation Method 1
Structured Light (SL) techniques are the best current methods for accurate capture of three-dimensional (3D) shapes. These are active techniques that illuminate objects or environments of interest with specially designed patterns of visible or invisible light.
Implementation Method 2
Images of the objects and/or environments are then captured with one or more cameras while the special patterns are illuminating the objects and/or environments. The 3D geometry is calculated from the images with triangulation using knowledge of relative angle, displacement and optical factors for the camera and projector.
Data Source
AI summary
A handheld data acquisition system for capturing three dimensional object shape data comprising a user feedback screen and a scanner module configured such that the scanner module may be rotated with respect to the feedback screen and the user may be able to scan objects including hard-to-reach areas while still being able to view feedback about the on-going scanning process.