Machine Learning for Automatic Quality Control
1. Collaborated with quality team to evaluate historical non-conformance manufacturing Data
2. Automatically extracted and preprocessed target images from different file types Excel, PPT, PDF, Word
3. Performed image classification using convolutional neual network, color filtering and feature detection
4. Developed unsupervised models including K-Means and DBSCAN models to cluster image for system deployment