Acoustic Emission Trigger for Camera Frame Rate Control
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Solution Overview
Problem
Image processing systems face high memory requirements due to large image files, which are influenced by the frame rate of the camera, necessitating a reduction in memory usage without compromising the ability to detect precursors of material fracture in specimens.
Innovation Solution
A system that uses a microphone to convert acoustic emissions into electrical signals, filters them, and applies a fast Fourier Transform (FFT) to determine the trigger amplitude for material fracture, allowing a control module to adjust the camera frame rate based on the detected amplitude, thereby reducing the number of images captured and processed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the camera captures images at a high frame rate to detect material fracture precursors, then the detection capability is improved, but the memory requirements increase significantly
Solution Approach 1:
The system dynamically adjusts the camera frame rate based on acoustic emission activity. During normal conditions, the camera operates at a lower frame rate to conserve memory. When acoustic emissions exceed a threshold indicating material fracture precursors, the frame rate automatically increases to capture detailed visual data, thus optimizing both detection capability and memory usage
Solution Approach 2:
The system uses acoustic emission monitoring as feedback to control camera operation. The microphone continuously monitors for acoustic emissions, and when specific amplitude thresholds are exceeded, this triggers the camera to switch between different frame rates, creating a closed-loop control system that adapts imaging resources to actual detection needs
2Quantity of substance
If the camera captures images at a low frame rate to reduce memory usage, then the memory requirements are decreased, but the detection precision of material fracture precursors deteriorates
Solution Approach 1:
The system dynamically adjusts the camera frame rate based on acoustic emission activity. During normal conditions, the camera operates at a lower frame rate to conserve memory. When acoustic emissions exceed a threshold indicating material fracture precursors, the frame rate automatically increases to capture detailed visual data, thus optimizing both detection capability and memory usage
Solution Approach 2:
The acoustic emission monitoring system acts as an intermediary that bridges the gap between low frame rate operation and high detection precision. By using acoustic emissions as an early warning signal, the system can maintain low frame rates most of the time while still achieving high detection precision when the intermediary alarm is triggered
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
The system effectively reduces memory usage by capturing images at a lower frame rate before the material fracture, resulting in an 83% reduction in stored and processed images while accurately detecting precursors of material fracture.
Implementation Method 1
a microphone converting acoustic emission emitted by the specimen under test into electrical signals
Implementation Method 2
The control module executes instructions to filter the electrical signals generated by the microphone to allow frequencies within a range of interest and attenuate frequencies outside the range of interest
Implementation Method 3
The control module converts the electrical signals generated by the microphone into individual frequency components based on a fast Fourier Transform (FFT), where the individual frequency components each include a peak intensity that represents audible sound
Data Source
AI summary
A system for determining a trigger amplitude indicating a precursor to a material fracture in a specimen under test includes a microphone converting acoustic emission emitted by the specimen under test into electrical signals. A load is exerted upon the specimen under test and the acoustic emission are emitted when the load causes the specimen under test to undergo deformation prior to the material fracture. A control module is in electrical communication with the microphone and executes instructions to monitor the electrical signals generated by the microphone and filter the electrical signals generated by the microphone. The control module converts the electrical signals generated by the microphone into individual frequency components based on a fast Fourier Transform (FFT). The individual frequency components each include a peak intensity. The control module determines the trigger amplitude based on the peak intensity of the individual frequency components of the FFT.