This project aims to process 2D images of semiconductor silicon wafers to identify any defects on the wafers as well as their corresponding locations.
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May 9, 2023 - Python
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wafer-dataset
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Identifies the faulty wafer before it can be used for the fabrication of integrated circuits and, in photovoltaics, to manufacture solar cells. The project retrains itself after every prediction, making it more robust and generalized over time.
machine-learning
artificial-intelligence
imbalanced-data
retraining-pipeline-flow
automated-pipeline
faulty-wafer-substrate
wafer-dataset
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Feb 2, 2023 - Python
Eigenvector Metal Etch Data Parser - Python
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Feb 16, 2022 - Jupyter Notebook
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