Inspection Apparatus Motion-Free Frame Selection
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Solution Overview
Problem
Inspection apparatuses often capture low-quality frames of image data when in motion due to the timing of control signals for outputting frames, leading to suboptimal image quality during freeze frame or save frame operations.
Innovation Solution
The apparatus processes image data to determine a motion parameter, allowing for selective output of high-quality frames by buffering and processing image data before and after the initiation of control signals, and applying non-uniform digital gain and offset parameters to enhance image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If the inspection apparatus outputs the first frame captured after a control signal is initiated, then the response time is minimized, but the image quality deteriorates due to motion during capture
Solution Approach 1:
The system performs preliminary actions by continuously capturing and buffering multiple frames before the control signal is initiated. When the control signal arrives, the system has already prepared a sequence of frames in the buffer, allowing it to select the highest quality frame without waiting for the next capture cycle, thus maintaining both fast response and high image quality.
Solution Approach 2:
The system dynamically adjusts frame selection based on motion detection. Instead of always outputting the first captured frame, the system evaluates motion parameters of multiple buffered frames and selectively outputs the frame with minimal motion blur, adapting the selection criterion based on real-time motion conditions.
2Manufacturing precision
If multiple frames are buffered and processed to select the highest quality frame, then image quality improves, but the processing time and computational complexity increase
Solution Approach 1:
The system applies partial processing by evaluating only key motion parameters of buffered frames rather than performing complete image quality assessment on all frames. This selective processing approach examines sufficient criteria to identify high-quality frames without the computational overhead of analyzing every frame in detail, thus reducing processing time while maintaining quality selection.
3Manufacturing precision
If motion detection and frame selection processing is performed, then frame quality improves, but the device complexity increases
Solution Approach 1:
The system extracts only the essential motion detection functionality from the overall frame processing pipeline. By isolating and implementing just the critical motion parameter detection and basic frame selection logic, the system achieves improved frame quality without incorporating the full complexity of advanced image processing algorithms, thus maintaining relatively simple device architecture.
Data Source
AI summary
A method of operating an inspection device includes collecting a plurality of successive image frames using an image sensor of the inspection device and displaying the plurality of successive image frames on a display of the inspection device. The method includes processing, via a processor of the inspection device, each image frame of the plurality of successive image frames by determining a motion parameter of each respective image frame and adding each respective image frame to a frame buffer when the respective image frame is motion free. The method includes receiving a control signal from a user interface of the inspection device requesting an image frame output. The method further includes determining, via the processor of the inspection device, a noise-reduced image frame from the frame buffer in response to the control signal and outputting the noise-reduced image frame in response to the control signal.