​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

Markdown blog

This is a Predictive Maintenance System.

Circular economy guide

Real-time predictive maintenance engine for industrial assets using Machine Learning and Sensor Telemetry.

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

An image anomaly detection model for B2B sensor products

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.

My company's repository

FastAPIと軽量AIモデル（TensorFlow Lite）を活用した工業向けAI支援型金属表面検査システム。 金属表面の有効性判定（ゲートキーパー）と欠陥傾向分析を段階的に行い、健全性スコア算出、日本語PDFレポート生成、および工場現場に最適化された検査ワークフローを提供します。 本システムにおけるAI解析結果は参考指標であり、最終判断は検査担当者の責任において行われます。 (An industrial-grade AI-assisted metal surface inspection system using FastAPI and lightweight TensorFlow Lite models. The system performs staged validation

Global Agent Assembly Line — autonomous multi-agent system for industrial research and strategy.