Image-Based Tape Cavity Pitch Detection with Periodic Brightness
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Solution Overview
Problem
Existing devices struggle to accurately detect the pitch of cavities in tapes due to minimal changes in brightness, leading to potential erroneous detections.
Innovation Solution
An image processing device that extracts brightnesses of pixels along the feeding direction, generates a brightness waveform, and performs periodic analysis using the normalized square difference function to recognize the pitch of cavities accurately.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If light transmission detection with threshold comparison is used, then the detection method is simple, but detection accuracy deteriorates when brightness change is small
Solution Approach 1:
The patent applies periodic action by performing periodic analysis on the brightness waveform to detect the pitch of cavities. Instead of relying on simple threshold comparison of individual brightness values, the system analyzes the periodic pattern of brightness changes along the tape, extracting the wavelength of the periodic waveform to determine cavity pitch. This approach maintains simplicity while significantly improving accuracy by leveraging the repetitive nature of the cavity structure.
2Speed
If simple threshold comparison is used for brightness detection, then the processing is fast, but erroneous detection occurs on tapes with minimal brightness change
Solution Approach 1:
The system performs periodic analysis on the brightness waveform to identify the pitch of cavities by detecting the wavelength of periodic brightness variations. This method is particularly effective for tapes with minimal brightness change because it relies on the consistent periodic pattern rather than absolute brightness values, thereby maintaining both speed and reliability.
Solution Approach 2:
The system uses feedback by comparing the detected periodic waveform characteristics against expected patterns to confirm accurate pitch detection. The periodic analysis provides a self-verifying mechanism that reduces erroneous detections while maintaining processing speed.
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 recognition of cavity pitch even in tapes with minimal brightness changes, preventing errors in component supply and improving feeding accuracy.
Implementation Method 1
light is caused to pass through the tape, an amount of transmitted light is detected by a photosensor or the like
Data Source
AI summary
An image processing device for processing an image of a tape in which multiple cavities for accommodating a component are provided along a predetermined feeding direction includes a generation section configured to extract brightnesses of pixels of a line along the feeding direction from the image and to generate a brightness waveform of the line, and a recognition section configured to execute a periodic analysis of a brightness change from the brightness waveform and to recognize a pitch of the cavities based on a wavelength obtained by the periodic analysis.