Barcode Recognition Lighting Control for Deposition Masks
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Solution Overview
Problem
Conventional barcode recognition systems on deposition masks face reduced recognition rates due to damage from handling and cleaning, leading to increased costs and potential premature replacement of the masks.
Innovation Solution
A method and apparatus that adjust lighting environments to improve barcode recognition rates by generating and re-imaging the barcode in optimal lighting conditions, using a combination of photographing, recognition, and lighting control units to enhance image clarity and distinguishability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional barcode recognition is used on deposition masks, then the system is simple and cost-effective, but the barcode recognition rate decreases due to damage from handling and cleaning
Solution Approach 1:
The system performs preliminary actions by capturing multiple barcode images under different lighting conditions before recognition fails. When the first image is not recognizable, the system proactively adjusts lighting parameters and captures additional images, rather than waiting for complete barcode degradation.
Solution Approach 2:
The system changes physical parameters of the lighting environment (intensity, color temperature, angle) to improve barcode recognizability. By adjusting these parameters, the system can recognize damaged barcodes that are invisible under standard lighting conditions.
2Duration of action of stationary object
If the barcode is damaged during handling and cleaning, then the deposition mask can still be used, but the recognition rate decreases leading to premature replacement
Solution Approach 1:
The system converts the harmful effect of barcode damage into a benefit by using alternative lighting conditions to reveal damaged barcodes. What was previously a failure condition (damaged barcode) becomes manageable through environmental parameter adjustment.
Solution Approach 2:
The system performs preliminary recognition attempts with multiple lighting conditions before concluding that a barcode is unrecoverable, thereby extending the usable life of deposition masks with damaged barcodes.
3Reliability
If multiple lighting environments are used to improve recognition, then the barcode recognition rate increases, but the time and complexity of the recognition process increases
Solution Approach 1:
The system applies partial action by using multiple lighting conditions only when necessary. It first attempts recognition under standard lighting, and only activates additional lighting variations when the initial recognition fails, avoiding unnecessary time consumption.
Solution Approach 2:
The system uses feedback from the recognition result to determine whether to continue with additional lighting conditions. If the first recognition attempt succeeds, the process terminates; if it fails, the system feedback-triggered adjustment of lighting parameters and retry.
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 solution effectively extends the life of deposition masks by maintaining high barcode recognition rates even when the barcode is damaged, preventing unnecessary replacements and processing delays.
Implementation Method 1
at least one light emitting unit configured to illuminate the barcode according to the lighting environment
Implementation Method 2
receiving a corresponding plurality of digital barcode images
Data Source
AI summary
A method of recognizing a barcode of a deposition mask, includes: receiving a barcode image corresponding to the barcode, the barcode image being associated with a lighting environment; determining that the barcode image is not recognizable; generating, in response to determining that the barcode image is not recognizable, one or more control signals configured to modify the lighting environment; and causing, at least in part, a second barcode image to be generated in association with a modified lighting environment.