Optical Fiber Center Detection Using Image Brightness Averaging
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for fiber axial detection and alignment in industrial photonics and silicon-photonics applications are costly, complex, and not suitable for multi-mode or specific photonic fibers, requiring extensive measurements and skilled personnel, while failing to accurately monitor fiber axis and field of view variations.
Innovation Solution
A system and method using a non-contact, non-intrusive tool with an image receiver, blocker, and processor to determine the center of the field of view by computing brightness values from images taken with the blocker positioned in different directions, allowing for precise alignment without modifying the optical device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If motorized fiber positioners, piezoelectric scanning modules or six-dimensional (6D) micro-motion robotic alignment systems are used, then fiber axial detection and alignment precision is improved, but device complexity and cost increase significantly
Solution Approach 1:
The patent replaces complex mechanical alignment systems (motorized positioners, piezoelectric modules, 6D robotic systems) with an optical detection method using a camera and image processing algorithms. The system captures images of the fiber end face and uses computational methods to determine fiber position and alignment, eliminating the need for expensive mechanical actuation and control systems while maintaining measurement precision
Solution Approach 2:
The patent creates a digital copy or representation of the fiber alignment state through imaging. By capturing optical images of the fiber end face and processing these images computationally, the system creates a virtual model of the alignment status, allowing precise measurement without physical mechanical intervention or complex alignment hardware
2Extent of automation
If extensive software and algorithm integration is implemented with motorized systems, then full automation capability is improved, but device complexity and development time increase
Solution Approach 1:
The patent replaces complex software-controlled mechanical systems with a simplified optical imaging and image processing approach. Automation is achieved through computational algorithms that process camera images to determine fiber position, eliminating the need for complex integrated software stacks required by motorized positioning systems
Solution Approach 2:
The system uses digital image copying and processing to achieve automation. By capturing images and using computational methods to extract alignment information, the system automates the measurement process through software that operates on image data rather than controlling complex mechanical actuators, significantly reducing software integration complexity
3Adaptability or versatility
If conventional fiber alignment methods are used, then general alignment function is achieved, but accuracy for multi-mode fibers and specific photonic fibers deteriorates due to varying fiber types and profiles
Solution Approach 1:
The patent applies local quality by adapting the detection method to specific fiber types and profiles. The image processing algorithms are configured to account for the particular characteristics of multi-mode fibers or specific photonic fibers being measured, optimizing the detection approach for each fiber type to maintain high precision across different fiber configurations
Solution Approach 2:
The system changes detection parameters based on fiber type and profile characteristics. By adjusting imaging parameters, processing algorithms, and analysis methods according to the specific fiber being measured, the system maintains high measurement precision across different fiber types while preserving adaptability to various fiber configurations
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 cost-effective, high-throughput, and accurate fiber alignment with reduced technical expertise, applicable to various fiber types and spectral ranges, including UV, visible, and IR, without affecting the integrity of the optical device.
Implementation Method 1
an image receiver configured for receiving at least one image through the optical element of the surface
Implementation Method 2
a processor configured with instructions to compute at least one brightness value, one for each of the at least one image
Data Source
AI summary
A method for locating a center of a field of view of an optical element using a system having a surface disposed at a first illumination, an image receiver, a blocker disposed at a second illumination, the method including disposing the blocker at, at least one location in the field of view upon the surface in a first direction when the brightness of an image within the field of view of the optical element is disposed at a brightness and recording a first location of the blocker; repeating the disposing step in a second direction and at the brightness, wherein the second direction is opposite the first direction and each of the first direction and the second direction is parallel to the surface; and averaging the first location and the second location to yield the center of the field of view of the optical element in the first direction.