Video Sensor High-Frequency Vibration Detection
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Solution Overview
Problem
Existing camera systems struggle to detect small vibrations and motions occurring at high frequencies due to limitations in frame rate and field of view, leading to incomplete capture and inaccurate detection of high-frequency motion.
Innovation Solution
Implementing a method that involves capturing multiple recordings of the same target area at different frame rates, analyzing the videos using Fourier transforms to determine actual signal frequencies by comparing frequency spectra, and adjusting exposure times to maintain high responsivity at high frequencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the frame rate is increased to capture high-frequency vibrations, then the detection capability improves, but the field of view must be reduced which limits the capture area
Solution Approach 1:
The patent divides the video acquisition process into multiple segments captured at different frame rates. By segmenting the frequency detection task across multiple frame rate recordings, the system can analyze different frequency ranges in each segment and combine them to achieve comprehensive high-frequency detection without continuously operating at the maximum frame rate, thus maintaining larger field of view when possible.
Solution Approach 2:
The patent dynamically changes the frame rate parameter based on the detected signal characteristics. The system starts with a lower frame rate to maintain full field of view, and only increases the frame rate when vibrations are detected, thereby optimizing the balance between detection capability and field of view coverage.
2Measurement precision
If the frame rate is increased beyond the Nyquist frequency limit, then high-frequency vibrations can be captured, but the camera hardware cannot support such high frame rates
Solution Approach 1:
The patent employs dynamic frame rate adjustment where the camera operates at variable frame rates rather than a fixed high frame rate. The system adapts the frame rate based on real-time vibration detection needs, using lower frame rates during normal operation and temporarily increasing to higher frame rates only when vibrations are detected, thus avoiding the need for hardware capable of continuously operating at maximum frame rates.
Solution Approach 2:
The system performs periodic scanning at different frame rates to detect vibrations across different frequency ranges. By periodically switching between multiple frame rate levels and analyzing the combined data, the system achieves extended frequency detection capability without requiring the camera to continuously operate at the highest frame rate that would demand excessive hardware capabilities.
3Measurement precision
If multiple videos at different frame rates are captured and analyzed, then accurate high-frequency detection is achieved, but the data processing complexity increases
Solution Approach 1:
The patent segments the frequency analysis process by assigning different frame rate videos to detect different frequency ranges. Each video segment is analyzed independently for its optimal frequency range, and the results are then combined. This segmentation reduces the overall processing complexity compared to analyzing all data at the highest frame rate, as each segment can use optimized processing tailored to its frequency range.
Solution Approach 2:
The patent introduces an intermediary processing layer that coordinates the analysis of multiple videos captured at different frame rates. This intermediary system manages the synchronization, frequency spectrum analysis, and result integration across multiple data streams, simplifying the overall processing architecture by providing a structured approach to handling the complex multi-frame-rate data.
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 high-frequency vibrations and motions beyond the Nyquist frequency limit, improving detection capabilities of conventional cameras and extending their effective frequency range without requiring hardware upgrades.
Implementation Method 1
capturing at least two videos of the target area at the at least two frame rates
Implementation Method 2
analyzing the at least two videos and producing corresponding frequency spectra
Data Source
AI summary
A method for high-frequency video acquisition comprises providing a video sensor, providing a target area, providing at least two frame rates, capturing at least two videos of the target area at the at least two frame rates, analyzing the at least two videos and producing corresponding frequency spectra, determining and comparing observed signal frequencies in the corresponding frequency spectra, and determining an actual signal frequency. Related systems and computer program products are also provided.