Laser Positioning From Image Brightness Without Infrared Filters
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Solution Overview
Problem
Infrared band-pass or high-pass filters used in structured-light modules are expensive and prone to interference under high ambient light conditions, leading to loss of environmental information and reduced accuracy in detecting laser light positions.
Innovation Solution
A laser positioning method using a structured-light module with a camera without an infrared filter, employing inter-frame tracking and brightness centroid algorithms to accurately detect line laser light positions in bright and dark frames, and adjusting camera gain and exposure based on environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If an infrared band-pass or high-pass filter is used in the camera module, then the laser light position detection accuracy is improved by separating infrared light from ambient light, but the environmental information is lost and the cost increases
Solution Approach 1:
The patent segments the image processing into different processing paths based on image brightness characteristics. Bright images are processed through inter-frame tracking to identify laser light positions, while dark images use brightness centroid algorithm. This segmentation allows the system to handle different lighting conditions without requiring an infrared filter, thereby preserving environmental information while maintaining detection accuracy.
Solution Approach 2:
The patent changes the processing parameters and algorithms based on image brightness characteristics. By detecting whether an image is bright or dark and switching between different processing methods (inter-frame tracking vs. brightness centroid), the system adapts to different lighting conditions. This parameter change approach eliminates the need for infrared filters while maintaining accurate laser light position detection.
2Measurement precision
If an infrared band-pass or high-pass filter is used in the camera module, then the laser light position detection accuracy is improved, but the device cost increases and interference is introduced under high ambient light conditions
Solution Approach 1:
The patent extracts the essential function of infrared light detection without the physical infrared filter. By using image brightness characteristics and algorithmic processing (inter-frame tracking for bright images, brightness centroid for dark images), the system extracts laser light position information directly from standard camera images, eliminating the need for expensive infrared filters and reducing device complexity.
Solution Approach 2:
The patent replaces the expensive infrared filter with a computational approach that uses standard camera images. The processing algorithms (inter-frame tracking and brightness centroid) act as virtual filters that are cheaper and more flexible than physical infrared filters, eliminating the need for costly optical components while maintaining detection accuracy.
3Measurement precision
If an infrared band-pass or high-pass filter is used in the camera module, then the laser light position detection accuracy is improved, but interference points increase under high ambient light intensity
Solution Approach 1:
The patent employs dynamic algorithm selection based on real-time image brightness detection. The system dynamically switches between inter-frame tracking for bright images and brightness centroid for dark images, adapting to changing ambient light conditions. This dynamic approach allows the system to maintain accurate laser light position detection while minimizing ambient light interference without requiring an infrared filter.
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 accurate detection of line laser light positions in varying ambient light conditions, reducing interference and enhancing obstacle detection and navigation accuracy for robots.
Implementation Method 1
the camera module can capture environmental images, and can also receive the reflected light resulting from the line laser light emitted onto the object
Data Source
AI summary
A laser positioning method based on image information, and a robot. The laser The method includes: controlling the camera to capture one or more frames of image of reflected light of line laser light reflected back from a surface of an object to be detected, and detecting whether the one or more frames of image captured by the camera are bright or dark; when the robot detects that a current frame of image captured by the camera is a frame of bright image, the robot executes an inter-frame tracking algorithm to search for positions of line laser light from the current frame of image; when the robot detects that the current frame of image captured by the camera is a frame of dark image, the robot executes a brightness centroid algorithm to extract the positions of line laser light from the current frame of image.