2026年5月14日
このビデオについて
Focused on the practical application of TinyML in embedded systems, this webinar demonstrates how Renesas low-power general-purpose MCUs paired with Reality AI Tools® can bring intelligence to sensor-driven products. Use cases covered include sound recognition and localization, non-visual gesture recognition across capacitive, radar, and motion inputs, and anomaly detection in smart industrial equipment. Learn how the Reality AI Tools edge AI software environment supports the full embedded machine learning development workflow, from data capture through to real-time analytics deployment in MCU-based systems — making it an accessible entry point for designers looking to add AI capabilities to their next product.