Wafer Sorter Optical Inspection for Edge Damage Detection
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Solution Overview
Problem
Current semiconductor wafer inspection for damage relies on human intervention and lacks automated detection within automated materials handling systems, leading to inefficiencies, resource wastage, and inflexible production processes.
Innovation Solution
Integration of an automated optical inspection tool with a semiconductor wafer sorter tool in automated materials handling systems to automatically detect damaged semiconductor wafers by illuminating, imaging, and performing image recognition on the wafers during handling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If human inspection is used to detect damaged semiconductor wafers, then detection can be performed, but resource wastage and production inefficiency occur
Solution Approach 1:
The patent replaces manual human inspection with an automated optical inspection system that uses cameras and image processing algorithms to detect damaged semiconductor wafers. This substitution eliminates the need for human operators to visually examine each wafer, thereby maintaining detection accuracy while dramatically increasing production throughput and eliminating resource wastage associated with manual inspection processes.
Solution Approach 2:
The automated optical inspection system performs self-service by automatically capturing images of semiconductor wafers, processing the images through algorithms, identifying damage patterns, and sorting wafers based on detected defects. The system operates autonomously without requiring human intervention at each inspection station, enabling continuous high-speed operation that maintains reliability while maximizing productivity.
2Measurement precision
If manual inspection processes are used, then damage detection is possible, but the process becomes time-consuming and error-prone
Solution Approach 1:
The automated optical inspection system enables continuous inspection of semiconductor wafers as they move through the manufacturing process. Multiple cameras and lighting systems operate simultaneously to continuously capture, process, and analyze wafer images without interruption. This continuous operation eliminates the time losses associated with manual inspection cycles while maintaining consistent measurement precision through automated image analysis algorithms.
Solution Approach 2:
The system creates optical copies (images) of semiconductor wafers using high-resolution cameras, allowing detailed examination of wafer surfaces without physical contact or time-consuming manual handling. These digital copies can be processed, analyzed, and archived instantly, enabling rapid detection of damage patterns while preserving measurement precision that would be difficult to achieve through manual visual inspection alone.
3Productivity
If automated optical inspection is integrated with wafer sorter tool, then real-time detection is enabled, but device complexity increases
Solution Approach 1:
The patent merges the automated optical inspection system with the existing wafer sorter tool into an integrated unit. The inspection system's cameras, lighting, and image processing components are combined with the sorter's mechanical handling and sorting mechanisms. This merging allows real-time detection of damaged wafers during the sorting process itself, enabling immediate separation of defective wafers without requiring separate inspection and sorting operations, thereby increasing productivity while managing complexity through functional integration.
Solution Approach 2:
The integrated system performs multiple functions within a single device: optical imaging of wafers, image processing and damage detection, wafer identification, and automated sorting based on detected defects. By consolidating these previously separate functions into one universal system, the patent achieves real-time detection and sorting capabilities that maximize production throughput while the shared hardware and software resources help manage overall system complexity.
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 real-time detection of damaged semiconductor wafers, reducing human error, increasing production throughput, conserving resources, and enhancing the flexibility of semiconductor wafer handling and processing.
Implementation Method 1
causing a light source to illuminate the semiconductor wafer
Data Source
AI summary
A device may detect a semiconductor wafer to be transferred from a source wafer carrier to a target wafer carrier, and may cause a light source to illuminate the semiconductor wafer. The device may cause a camera to capture images of the semiconductor wafer after the light source illuminates the semiconductor wafer, and may perform image recognition of the images of the semiconductor wafer to determine whether an edge of the semiconductor wafer is damaged. The device may cause the semiconductor wafer to be provided to the source wafer carrier when the edge of the semiconductor wafer is determined to be damaged, and may cause the semiconductor wafer to be provided to the target wafer carrier when the edge of the semiconductor wafer is determined to be undamaged.