3D Scanning Light Control for Color-Dependent Reflection Gaps
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Solution Overview
Problem
Existing dental scanning technologies face challenges in obtaining accurate three-dimensional images due to incomplete reflection of light from objects based on their color, type, or material, leading to reduced image quality and missing data, particularly in cases like bleeding in teeth where blue light is not reflected.
Innovation Solution
A three-dimensional scan system that automatically adjusts the color of the light source based on property information, such as color and shape, by analyzing images obtained from the object using a light projector, image capturer, data analyzer, and controller to optimize light projection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single color light source (e.g., blue light) is used for scanning, then the scanning speed is maintained, but the image quality deteriorates when the object's color absorbs that wavelength (e.g., red bleeding in teeth)
Solution Approach 1:
The system dynamically changes the color of the light source based on the detected color properties of the object. The controller automatically selects appropriate light wavelengths by analyzing object color characteristics, transforming the static single-color light source into a dynamic multi-color adaptable system that optimizes image quality for different object types
Solution Approach 2:
The invention changes the wavelength parameter of the light source according to the object's color properties. By analyzing the object's color characteristics and selecting light sources with complementary wavelengths (e.g., using red light for blue objects, green light for purple objects), the system ensures optimal reflection and image quality without requiring multiple fixed light sources
2Adaptability or versatility
If multiple light sources of different colors are used to scan all possible object types, then the adaptability improves, but the device complexity and cost increase
Solution Approach 1:
The system employs a single light source that can function in multiple modes by changing its color wavelength. Rather than requiring separate light sources for different object types, one adaptable light source performs the function of multiple fixed light sources by dynamically adjusting its wavelength based on object detection, thereby maintaining versatility while reducing system complexity
Solution Approach 2:
The light source is designed to be dynamic rather than static, capable of switching between different colors (red, green, blue) based on real-time object analysis. This dynamic capability allows a single light source to replace multiple fixed light sources, achieving universal adaptability without proportionally increasing device complexity
3Measurement precision
If the light source color is changed based on object properties, then the image quality improves, but the scanning time increases due to additional analysis
Solution Approach 1:
The system performs preliminary color analysis of the object before the main scanning process. By detecting the object's color characteristics in advance and pre-selecting the appropriate light source wavelength, the system avoids time-consuming adjustments during scanning and ensures optimal image quality from the start without significantly increasing total scanning time
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 quality and accuracy of three-dimensional images by preventing missing data and improving image acquisition through adaptive light source selection, especially for translucent objects like teeth with bleeding.
Implementation Method 1
imaging light reflected from the object
Data Source
AI summary
A three-dimensional scan system and an operating method thereof are provided. Embodiments of the present disclosure provide a method and a three-dimensional scan system for analyzing property information of an object from at least one image obtained by imaging an object to which light is projected, and automatically changing the color of a light source projecting light to the object based on the analyzed property information.