Tag: Smart Factory
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Smart Factory AI Pipeline: End-to-End Case Study
Smart factory AI that survives edge throttling and RL constraints: 3 deployment fixes from thermal crashes to scheduler violations.
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Explainable AI for Factory Operations: Building Trust
SHAP heatmaps vs decision trees for factory AI trust: one impresses engineers, the other ships. Real vibration data, production results.
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Object Detection and Tracking: Monitoring Assembly Line Workflows
YOLOv8 + centroid tracking vs DeepSORT for assembly lines: latency benchmarks on Jetson Nano reveal the faster, cheaper winner.
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Time Series Demand Forecasting: Why Prophet Fails
Prophet failed our factory demand planning. Multi-horizon LightGBM with quantile regression cut forecast error 63%โhere's the code.
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Edge AI vs Cloud AI: Architecture Guide for Factories
Edge AI vs Cloud AI for factories: latency, cost, and reliability compared across 3 real deployments. The hybrid approach won.
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RL for Production Scheduling: DQN Failed, PPO Saved It
DQN crashed on factory scheduling. PPO barely helped. This hybrid RL+heuristic cut tardiness 40% in productionโfull implementation.
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Digital Twin: Virtual Factory Replicas with Python
Build a factory digital twin with Python: SimPy simulation + Kalman filter sync handles 10K parts/day, enables what-if scenarios.
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Real-Time Anomaly Detection on Production Lines with DL
Autoencoder vs transformer for production line defects: edge deployment benchmarks reveal why reconstruction error fails 40% of the time.