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.
Accelerating the Transition from Digital to Intelligent Manufacturing
Most supply chain maps are flat. We’ve built a multi-dimensional graph linking NAICS manufacturing nodes to GICS financial sectors and raw material inputs. This repo contains the dependency logic for the whole physical economy
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.
Manufacturing Impact Analysis Engine (MIAE) is a Spring Boot + Neo4j MVP that builds a manufacturing knowledge graph from ERP-style events and exposes deterministic impact analysis APIs for revisions, components, and suppliers.
A digital-twinning simulation platform for intelligent industrial manufacturing
A Grafana panel plugin for visualizing 3D CAD models, point clouds, and metrology data within Grafana dashboards.
Computer Vision Counter - is a feature for counting objects on video, mainly aimed at manufacturing enterprises.
Forge Core + Forge DBs + Forge Plugins = The Industrial / Manufacturing hub that collects, governs, stores, curates and serves data. From the system that create it, to the systems that need it - in the form its requested.
Industrial ML system that predicts equipment failures hours before they occur using LightGBM, SHAP explainability, and physics-driven features. Built for Industry 5.0.
an open concept and methodology for edge-based data processing in manufacturing.
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
Turn a small custom manufacturer's answers into a tailored, foundation-first operations plan and a runnable starter repo. Deterministic, no LLM.
Personal analytics agent: retail, consumer electronics, wholesale, warehousing & production. Forecasting (SARIMA-X, XGBoost), anomaly detection, K-means, decision log with human confirmation, learning loop, voice chat
Qlik Sense cost variance dashboard - manufacturing controlling case study
Pharma 4.0 Bio-Twin console featuring real-time IIoT simulation, MSPC latent soft sensors (PCA), deterministic Groq LLM diagnostic agent loops, and automated 5-minute/instant interrupt SMTP email notification alerting pipelines.
Open-source Industrial Intelligence Platform powered by AI, IIoT and Edge Computing.
AI analytics over real-time IoT telemetry for factory floors, with live dashboards and alerting.
IIoT Real-Time Production Monitoring & Analytics Dashboard. A Python-based prototype featuring a simulated PLC data stream, SQLite historical storage, and a Streamlit UI with smart fault diagnostics and Pareto analysis.
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