Multi-Wavelength Target Detection for Low-Contrast Image Inspection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing target detection devices struggle to accurately identify specific regions or foreign matter in commodities due to insufficient contrast in luminance or similar colors and shapes, particularly when using ultraviolet, X-ray, or white light.
Innovation Solution
A target detection device that acquires and processes multi-channel images using different wavelength groups to enhance contrast and accuracy by combining images from first and second wavelength groups, employing a target detecting unit to identify targets based on luminance thresholds in each image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single wavelength light (ultraviolet, X-ray, or white light) is used for irradiation, then the device complexity is low, but the measurement precision of target detection deteriorates due to insufficient luminance contrast
Solution Approach 1:
The imaging system is segmented into multiple independent imaging units, each equipped with a light source of a specific wavelength (e.g., ultraviolet, visible, infrared) and a corresponding image sensor. Each imaging unit captures images in its specific wavelength range, allowing the system to segment the detection task across multiple specialized channels rather than relying on a single general-purpose unit.
Solution Approach 2:
The target detection device is designed as a multi-functional system that can detect various types of targets (foreign matter, defects, characteristics) by utilizing multiple wavelength groups. The system universally handles different detection scenarios by switching between or combining images from different wavelength channels, making a single device capable of multiple detection functions.
2Measurement precision
If multiple wavelength groups are used to improve detection accuracy, then the measurement precision improves, but the device complexity increases due to multiple image acquiring units
Solution Approach 1:
Multiple images captured by different imaging units (each using different wavelength groups) are merged or combined through image synthesis processing. The synthesis unit integrates the information from various wavelength channels to generate a composite image that enhances target visibility and detection accuracy, effectively combining the strengths of multiple imaging modalities.
Solution Approach 2:
The system extends the detection capability by adding the wavelength dimension to the traditional two-dimensional spatial imaging. By capturing images across multiple wavelength groups (ultraviolet, visible, infrared), the system creates a multi-dimensional detection space where targets can be identified based on their spectral characteristics in addition to their spatial features.
3Adaptability or versatility
If a single light source is used, then the ease of manufacture is high, but the adaptability to different detection scenarios deteriorates
Solution Approach 1:
The detection device is designed as a universal system that can adapt to various detection scenarios by utilizing multiple wavelength groups. Each wavelength group (ultraviolet, visible, infrared) can be selectively activated or combined depending on the specific detection task, allowing the same hardware platform to handle diverse applications from foreign matter detection to quality inspection.
Solution Approach 2:
The system achieves adaptability by changing the operational parameters, specifically the wavelength group being utilized. By selecting and activating appropriate light sources and corresponding image sensors from the multiple available channels, the system can adjust its detection characteristics to match different detection scenarios without requiring physical reconfiguration or different hardware systems.
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
Accurately detects targets by enhancing luminance contrast through multi-channel imaging, improving detection precision in diverse lighting conditions.
Implementation Method 1
a first image acquiring unit configured to acquire a first image depicting a subject, which is generated by irradiating the subject with light belonging to a first wavelength group; a second image acquiring unit configured to acquire a second image depicting the subject, which is generated by irradiating the subject with light belonging to a second wavelength group
Implementation Method 2
detect radiation of a narrow band emitted from a region of a specific object or commodity that is excited by the radiation
Data Source
AI summary
A target detection device includes: a first image acquiring unit configured to acquire a first image depicting a subject, which is generated by irradiating the subject with light belonging to a first wavelength group; a second image acquiring unit configured to acquire a second image depicting the subject, which is generated by irradiating the subject with light belonging to a second wavelength group other than the first wavelength group and having a different wavelength from the light with which the subject has been irradiated to generate the first image; and a target detecting unit configured to detect a target included in the subject using the first image and the second image.