Wafer Sorter Optical Inspection for Edge Damage Routing
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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 and imaging the wafers, performing image recognition to identify edge damage, and selectively routing damaged wafers for quality control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated optical inspection tool is integrated with wafer sorter tool, then productivity is improved through real-time damage detection, but device complexity increases due to additional inspection components
Solution Approach 1:
The patent combines the automated optical inspection tool with the wafer sorter tool into an integrated system. The inspection tool is positioned within the sorter's material handling path, allowing simultaneous sorting and inspection operations. This merging eliminates the need for separate inspection stations, thereby improving productivity while managing device complexity through functional integration.
Solution Approach 2:
The integrated system performs multiple functions: the wafer sorter tool continues its primary sorting function while the added inspection capability provides damage detection. The system universally handles both sorted wafer routing and quality inspection within a single apparatus, improving throughput by eliminating sequential processing steps.
2Loss of time
If automated optical inspection is implemented, then loss of time is reduced through elimination of manual inspection, but device complexity increases due to additional automation components
Solution Approach 1:
The patent replaces manual mechanical inspection with an automated optical inspection system. The optical tool uses cameras and image processing algorithms to detect wafer damage automatically, eliminating the time-consuming manual examination process. This substitution significantly reduces inspection time while the automation is integrated into the existing sorter infrastructure to manage complexity.
Solution Approach 2:
The optical inspection system operates autonomously, automatically capturing images of wafers during transport, processing the images to detect damage, and routing wafers based on inspection results without human intervention. This self-service capability eliminates manual inspection time while the system integrates with existing automation components.
3Manufacturing precision
If real-time wafer inspection is performed during material handling, then manufacturing precision is improved through immediate damage detection, but device complexity increases due to integration requirements
Solution Approach 1:
The optical inspection tool captures images of wafers during their transport through the sorter aligner, performing inspection before the wafers reach their final destinations. This preliminary detection allows immediate identification of damaged wafers, ensuring high manufacturing precision by detecting damage at the earliest possible moment in the material handling process.
Solution Approach 2:
The patent uses the sorter aligner and material handling mechanisms as intermediaries to position wafers optimally for optical inspection. The existing alignment and transport mechanisms facilitate the inspection process without requiring completely new positioning systems, thereby improving detection accuracy while managing integration complexity through utilization of existing intermediary components.
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 solution enables real-time detection of damaged semiconductor wafers, 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
Implementation Method 2
causing a camera to capture images of the semiconductor wafer after the light source illuminates 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.