This repository provides code and resources for automating manufacturing feature recognition in CAD designs using vision-language models.
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.
Predictive maintenance and quality control system for manufacturing. Uses sensor data and computer vision to predict equipment failures, optimize production lines, and detect product defects in real-time.
A digital-twinning simulation platform for intelligent industrial manufacturing
Qualify-As-You-Go Sensor Fusion, Process Zone Signatures and Deep Contrastive Learning for Multi-Material Composition Monitoring in LPBF Process
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.
This is a Predictive Maintenance System.
As a follow-up to our TestStand ETL, we develop an interactive dashboard using Power BI to uncover process trends and statistical control metrics.
My company's repository
An image anomaly detection model for B2B sensor products
Circular economy guide
Real-time predictive maintenance engine for industrial assets using Machine Learning and Sensor Telemetry.
Global Agent Assembly Line — autonomous multi-agent system for industrial research and strategy.
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