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 freezing or saving processes.
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 or after the initiation of control signals, such as freeze or save frame control signals, using techniques like motion detection and non-uniform digital gain application 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 fast, but the image quality deteriorates when the apparatus is in motion
Solution Approach 1:
The system performs preliminary actions by continuously capturing and buffering frames before the control signal is initiated. When the control signal arrives, the system has already prepared multiple candidate frames in the buffer, allowing it to select a high-quality frame without waiting for the next frame capture, thus maintaining fast response while ensuring image quality.
Solution Approach 2:
The system dynamically adjusts its frame selection strategy based on motion detection. When motion is detected, it selects frames with lower motion blur; when stationary, it can use the first available frame. This dynamic adaptation resolves the contradiction between fast response and high quality by adjusting the selection criteria according to real-time conditions.
2Manufacturing precision
If the apparatus continuously buffers and processes multiple frames to ensure high quality, then image quality improves, but the processing complexity and time delay increase
Solution Approach 1:
Instead of processing all buffered frames equally, the system applies partial processing by focusing computational resources on evaluating motion parameters for frame selection, rather than fully processing every frame. This selective approach maintains image quality while reducing overall processing complexity.
Solution Approach 2:
The system uses motion detection algorithms that automatically evaluate frames and select the most appropriate one without requiring complex external intervention. The apparatus serves itself by autonomously determining which frame to output based on motion analysis, reducing the need for complex external processing control.
3Manufacturing precision
If the apparatus waits for motion to stop before capturing a frame, then image quality improves, but the response time and productivity decrease
Solution Approach 1:
The system continuously captures and buffers frames in advance, so when a control signal is received, multiple candidate frames are already available. This eliminates the need to wait for motion to stop before capturing, as the system can immediately select from pre-captured frames, thus maintaining both image quality and fast response time.
Solution Approach 2:
The system replaces the mechanical approach of physically waiting for motion to stop with a digital solution of selecting from pre-captured frames based on motion analysis. This substitution allows the system to maintain productivity by not physically stopping while still achieving high-quality images through intelligent frame selection.
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.