Image-Based Brazing Completion Detection for Precise Time Control
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Solution Overview
Problem
Existing brazing technologies struggle to accurately control the time required for brazing due to inaccuracies in temperature estimation from image-based temperature detection.
Innovation Solution
A brazing system that utilizes an image sensor to capture images of the brazing material and a control unit to generate brazing material information based on shape and brightness, employing machine learning models to detect brazing completion and adjust heating accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If temperature estimation from image-based detection is used, then the brazing process can be monitored, but the temperature cannot be detected accurately making it difficult to control the time required for brazing
Solution Approach 1:
The patent utilizes brightness value changes in captured images as an indirect indicator of temperature and brazing state. By monitoring the brightness of the brazing part in sequential images, the system can detect when the brazing material has melted and when brazing is complete, providing accurate temporal control without requiring direct temperature measurement
Solution Approach 2:
The patent introduces brightness value as an intermediary parameter between the actual temperature state and the control system. Instead of directly measuring temperature, the system captures images and extracts brightness values that correlate with temperature and brazing progress, enabling accurate time control through this intermediate optical property
2Extent of automation
If image-based temperature detection is used to monitor brazing, then the brazing process can be automated, but the accuracy of temperature detection remains insufficient
Solution Approach 1:
The patent replaces direct thermal measurement mechanisms with an optical-based image analysis system. By using brightness value extraction from captured images rather than physical temperature sensors, the system achieves automated monitoring with improved accuracy in detecting brazing completion timing
Solution Approach 2:
The system continuously captures images during the brazing process, extracts brightness values, and uses this feedback information to determine when brazing is complete. The brightness changes provide real-time feedback on the brazing state, enabling precise automated control of the brazing timing
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 precise control of brazing time by accurately detecting the completion of brazing through shape and brightness analysis, improving the efficiency and accuracy of the brazing process.
Implementation Method 1
capturing the light emitted from the part where metals to be joined together are brazed when the temperature of the part rises
Data Source
AI summary
A brazing system includes: an image sensor configured to capture an image of a brazing material; and a control unit configured to control brazing, and the control unit generates brazing material information based on a shape of the brazing material in the image captured by the image sensor, detects completion of the brazing based on the brazing material information, and outputs a completion signal.