Detect subtle belt tears using only inverter current/voltage signals. A 98% accurate, TinyML model enables real-time, embedded fault detection and predictive maintenance using the MCK-RA6T2 Motor Control Kit and Reality AI Tools.
Understand the architectural tradeoffs of two-stage and single-stage on-board charger (OBC) DC/DC converters through a clear comparison of operating principles, performance characteristics, and system-level impacts.
Build advanced smart meters with Edge AI, combining non-intrusive load monitoring (NILM) and anti-tampering techniques to deliver appliance insights, reduce fraud, and remove cloud dependency.
Read how the expanded Renesas Partner Program connects hardware, software, and services to simplify solution discovery, accelerate time to market, and drive global growth through a scalable ecosystem.
Renesas brings connectivity and embedded processing together to simplify IoT design. Read more about our wireless MCU strategy and our approach to integrated platforms.
Ki® wireless docking enables safe, autonomous humanoid robot charging using scalable, cable-free power transfer, NFC control, and reliable alignment for consistent performance.
From fingertips to firmware—discover how motor control, AI, and sensing drive next-gen dexterous robotic hands for humanoid applications.
Learn how WLCSP packaging enables ultra-compact, low-power MCU designs for smart sensors, delivering near-die-size packaging with excellent electrical and thermal performance.
As intelligence spreads across machines, the signal chain beneath the AI model is what turns capability into confidence, reliably, quickly, and accurately.
Discover Renesas 365, a cloud-based platform uniting silicon, software, and lifecycle workflows to speed embedded design through smarter device selection, continuity, and AI assistance.