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Corrado Böhm

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Open access 2022

Real-Time Embedded AI for Industrial Robot Monitoring

This study presents a comprehensive research framework for real-time embedded AI-based industrial robot monitoring that combines edge computing, embedded deep learning, multi-sensor fusion, anomaly detection, predictive maintenance, and intelligent decision-making and provides a scalable, energy-efficient, and intelligent monitoring solution suitable for next-generation smart factories and Industry 5.0 environments.

Corrado Böhm, Corrado Gini · 0 citations

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