Transparent Substrate Orientation Detection via Dot Pattern Imaging
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Solution Overview
Problem
In electronics processing systems, determining the front and back surface orientations of transparent substrates is crucial to prevent defective processing, as both surfaces can be processed differently, but existing systems lack efficient methods to accurately identify the correct orientation, leading to material wastage.
Innovation Solution
The system employs a substrate support with a rotator, a laser detector pair, and an optical character recognizer to identify fiducials and dot patterns on the substrate, determining the orientation and directing robots to flip or transfer the substrate to the appropriate processing chamber based on whether the front surface is facing up or down.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If transparent substrates are processed without orientation detection, then processing can proceed quickly, but defective processing occurs and material is wasted
Solution Approach 1:
The system performs preliminary orientation detection using laser detectors and optical character recognizers to identify fiducials and dot patterns on the substrate before processing begins. This advance detection ensures the correct surface is identified and processed, preventing defects while maintaining efficiency through automated pre-screening.
2Reliability
If orientation detection systems are added to identify substrate surfaces, then processing quality improves, but device complexity increases
Solution Approach 1:
The processing system integrates multiple functions into unified components: the laser detector pair serves both alignment and orientation detection, while the optical character recognizer handles both fiducial identification and surface verification. This multi-functionality reduces overall system complexity despite adding orientation detection capabilities.
Solution Approach 2:
The system replaces manual visual inspection and mechanical orientation marking with optical detection methods. Laser detectors and optical character recognizers automatically identify substrate orientation through light interaction and pattern recognition, eliminating the need for physical markers or human intervention while maintaining simplicity.
3Device complexity
If manual inspection methods are used to determine substrate orientation, then system complexity remains low, but measurement precision and productivity decrease
Solution Approach 1:
Manual inspection is replaced with optical detection systems that use laser beams and character recognition algorithms to automatically determine substrate orientation. The laser detector pair precisely locates fiducials and dot patterns, providing accurate orientation detection without requiring physical contact or subjective human judgment.
Solution Approach 2:
The optical character recognizer creates a digital representation of the substrate's fiducial markers and dot patterns, analyzing their positions and configurations to determine orientation. This optical copying and analysis method provides precise, repeatable measurements without physical intervention.
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
This method ensures accurate orientation detection and processing, preventing material wastage by correctly identifying the substrate orientation and directing it to the appropriate processing chamber, thus enhancing processing efficiency and reducing defects.
Implementation Method 1
a laser detector pair to identify a fiducial in an edge of the transparent substrate
Implementation Method 2
The processing device may be configured to direct the rotator to rotate the transparent substrate until the laser detector pair detects the fiducial
Implementation Method 3
an optical character recognizer adapted to detect a dot pattern etched proximate to the fiducial on a surface of the transparent substrate
Data Source
AI summary
A system includes a substrate support on which to receive a transparent substrate, a non-contact sensor adapted to detect and image a dot pattern etched on a front surface of the transparent substrate, and a processing device attached to the non-contact sensor. The processing device may determine, using imaging data from the non-contact sensor, an orientation of a right-angled edge of the dot pattern. The processing device may determine, based on the orientation of the right-angled edge, whether a front surface of the transparent substrate is facing up or facing down. The processing device may also direct a robot to transfer the transparent substrate to a processing chamber dependent on whether the front surface of the transparent substrate is facing up or facing down.