Load Lock Imaging Subsystem for Substrate Defect Detection
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Solution Overview
Problem
Current methods for qualifying the integrity of substrates in electronic device manufacturing systems, such as those using laser sensors, are limited in detecting defects and inconsistencies, particularly for smaller defects and deposition pattern errors.
Innovation Solution
A novel image capture and processing system within a load lock chamber that uses multiple imaging elements to capture image data of substrate profiles, combined with a computing subsystem for image processing, to identify substrate features, defects, and inconsistencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If laser sensors are used to qualify substrate integrity, then the inspection process is simple and fast, but the detection capability for small defects and deposition pattern errors is limited
Solution Approach 1:
The inspection system is segmented into multiple imaging elements (first imaging element, second imaging element, third imaging element) that capture different aspects of the substrate profile. Each imaging element focuses on specific regions or types of defects, allowing the system to achieve comprehensive detection capability without requiring a single overly complex sensor
Solution Approach 2:
The system transitions from conventional 2D surface inspection to 3D profile inspection by capturing substrate profile data across multiple dimensions. The imaging elements are positioned to capture height, width, and depth information, enabling detection of deposition pattern errors and small defects that are invisible in traditional planar views
2Reliability
If multiple imaging elements are used to capture substrate profile data, then detection accuracy for small defects improves, but the system complexity and data processing requirements increase
Solution Approach 1:
The imaging elements serve multiple functions: capturing substrate profile data, identifying small defects, detecting deposition pattern errors, and providing three-dimensional visualization. This multi-functionality reduces the need for separate specialized sensors for each inspection task, thereby managing system complexity while maintaining high reliability
Solution Approach 2:
The computing subsystem acts as an intermediary that receives data from multiple imaging elements, processes the information, and generates the profile image. This intermediary component manages the complexity of data fusion and analysis, allowing the imaging elements to focus solely on data capture while the computing subsystem handles the complex tasks of integration and interpretation
3Measurement precision
If comprehensive image processing is performed to identify all substrate features, then diagnostic accuracy improves, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by capturing comprehensive profile data from multiple imaging elements before detailed analysis. The profile image is generated in advance, providing a complete overview that guides subsequent defect identification and reduces the need for repeated scanning or reprocessing
Solution Approach 2:
The system performs excessive action by capturing more data than immediately necessary from multiple imaging elements. This excess data provides redundancy and multiple perspectives that improve identification accuracy, while the computing subsystem selectively processes only the most relevant information to minimize processing time
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 system effectively identifies substrate defects, such as cracks, chipping, and deposition pattern errors, enhancing system integrity, maintenance efficiency, and substrate quality by providing comprehensive and accurate diagnostic data.
Implementation Method 1
an imaging element to capture image data reflective of a profile of the substrate
Data Source
AI summary
A load lock system including an imaging subsystem and an image processing subsystem to capture comprehensive data of a substrate within a load lock chamber. The imaging subsystem can include multiple imaging elements (e.g. cameras or image sensors), to capture image data of a substrate. The image processing subsystem can process the image data with a number of computer vision, or feature extraction techniques to identify nonconformities associated with the substrate. These nonconformities can include chips, breaks, scratch, placement errors, orientation errors, or a number of other errors associated with the substrate and substrate components. The image processing subsystem can further output a message indicating any one of these errors have occurred.