This repo contains implementation of deep learning-based steel surface defect segmentation models. Extensive experiments on several deep learning frameworks have been presented with various performance analysis and comparison.

Markdown blog

Qualify-As-You-Go Sensor Fusion, Process Zone Signatures and Deep Contrastive Learning for Multi-Material Composition Monitoring in LPBF Process

A digital-twinning simulation platform for intelligent industrial manufacturing

As a follow-up to our TestStand ETL, we develop an interactive dashboard using Power BI to uncover process trends and statistical control metrics.

A collection of all the projects I have worked till now. As per the data compliance and NDA, I will share an alternate code with dummy data instead. I would like to credit my mentor, Kumagai-san, Zhao-san & Iizuka-san who suggested me alternate methods and have contributed to my overall understanding.

Developed an image anomaly detection model for B2B sensor products.