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Real Time Analytics
Overview
Overview
Renesas’ Real-Time Analytics brings advanced signal processing, machine learning, and anomaly detection directly to MCUs and MPUs for fast, accurate edge intelligence. It enables predictive maintenance, equipment monitoring, and user and environmental sensing with a compact, explainable, and fully integrated toolchain.
Applications
Floor type detection that detects different surface textures with a trained classifier to help vacuums run at the highest efficiency.
Realtime unbalanced load and shaft misalignment detection to prevent equipment damage. It independently runs on two motors.
Know your sensorless three-phase BLDC/PMSM motor control solution the load during startup sequence
Smart sound-analysis technology that instantly detects breaking glass supported by Reality AI. Alerts you for fast, reliable protection.
Combining AI and signal processing to detect motor anomalies at startup without the need for additional sensors.
Aizip’s glass break detection solution provides accurate detection of the glass break sound for home and office protection
Multi Modal Combos
E-delivery robots with AI-driven autonomy, predictive maintenance, and advanced sensor fusion for safer, smarter, and more efficient urban deliveries.
Renesas has introduced a software-based smart washing machine concept to enhance performance in user interaction and motor reliability.
E-delivery robots with AI-driven autonomy, predictive maintenance, and advanced sensor fusion for safer, smarter, and more efficient urban deliveries.