Fabrikpuls
AI system for manufacturing — knowledge management, machine data analysis, edge devices, and computer vision for anomaly detection on the shop floor.
TypeScriptReactPythonComputer VisionEdge AILLM
The Problem
Factories sit on vast amounts of knowledge and data — machine data from the shop floor, employee expertise, maintenance logs — but cannot use them effectively. Anomalies are often detected only when it’s too late, and knowledge is lost with staff turnover.
The Solution
Fabrikpuls is an AI system that empowers factories to intelligently leverage their knowledge and machine data. The system combines data analysis, computer vision, and edge devices to proactively detect anomalies and prevent production downtime.
Core Features
- Knowledge Management: AI-powered capture and retrieval of production knowledge — employees can ask questions and receive contextual answers from the knowledge base
- Machine Data Analysis: Real-time evaluation of shop floor data to identify patterns and deviations
- Computer Vision: Camera-based quality control and anomaly detection directly at the production line
- Edge Devices: Local data processing at the machine for low latency and data privacy
- Proactive Maintenance: Prediction of machine failures before they occur
Technical Highlights
- Edge AI: Inference directly on edge devices for real-time response without cloud dependency
- Computer Vision Pipeline: Camera integration with trained models for visual anomaly detection
- LLM Integration: Natural language access to production knowledge via RAG pipeline
- React Dashboard: Clear monitoring interface with real-time alerts
- Landing Page: Marketing website to showcase the platform
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