Substrate Processing With Real-Time Optical Arcing Detection
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Solution Overview
Problem
Current substrate level arcing detection methods are not accurate and not performed in real-time, leading to substrate scrap and decreased throughput in high-volume production.
Innovation Solution
Implement real-time arcing detection through image analysis using cameras or sensors positioned near processing chambers, comparing captured substrate images to a baseline or look-up table to determine arcing and adjust processing accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If voltage and arc-count detection methods are used for substrate level arcing detection, then detection capability is provided, but accuracy is limited and real-time detection is not achieved
Solution Approach 1:
The patent replaces conventional voltage and arc-count detection methods with optical imaging technology. Cameras capture images of substrates during processing, and image analysis algorithms detect arcing events. This substitution enables real-time detection with high accuracy, as optical methods provide direct visual evidence of arcing rather than indirect electrical measurements.
Solution Approach 2:
The patent introduces an intermediary image analysis system that bridges the gap between substrate processing and arcing detection. The system uses cameras as intermediaries to capture substrate images, then employs algorithms to analyze these images for arcing signs. This intermediary approach enables real-time detection without interfering with the primary processing operations.
2Reliability
If arcing detection is performed after processing, then detection is achieved, but substrate scrap increases and throughput decreases
Solution Approach 1:
The patent implements preliminary arcing detection by capturing substrate images during or immediately after processing steps. The image analysis occurs before subsequent processing steps are initiated, allowing early detection of arcing events. This preliminary action prevents defective substrates from proceeding through the full processing sequence, thereby reducing scrap and maintaining throughput.
Solution Approach 2:
The patent establishes a feedback loop where substrate images are continuously captured and analyzed, with results fed back to control the processing system. When arcing is detected, the system receives immediate feedback and can adjust processing parameters or halt operations. This real-time feedback mechanism enables reliable detection while maintaining high productivity through rapid response.
3Productivity
If real-time image analysis is implemented for arcing detection, then substrate scrap is reduced and throughput is increased, but system complexity increases
Solution Approach 1:
The patent uses optical copying by capturing images of substrates with cameras. Instead of directly measuring physical or electrical properties, the system creates visual copies (images) of substrates for analysis. This copying approach simplifies the detection system compared to complex electrical measurement setups, while enabling real-time non-contact inspection that improves throughput and reduces scrap.
Data Source
AI summary
Methods and apparatus for processing a substrate are provided herein. For example, a method comprises in a process chamber, processing a substrate in a presence of an electric field, subsequently capturing an image of the substrate, determining whether substrate arcing occurred based upon analysis of the captured image, and one of continuing processing of the substrate when no arcing is determined or stopping processing of the substrate when arcing is determined.