ML63Q2500 AI-Equipped Microcontrollers

ROHM Semiconductor ML63Q2500 AI-Equipped Microcontrollers (MCUs) provide a network-independent solution for early anomaly detection before equipment failure. This contributes to more stable and efficient system operations by decreasing maintenance costs and the risk of line stoppages. These devices adopt a simple three-layer neural network algorithm to implement ROHM's proprietary on-device AI solution, Solist-AI™. This feature allows the MCUs to independently perform AI learning and inference without cloud or network connectivity. The modules integrate a 32-bit Arm^® Cortex^®-M0+ processor, ROHM's proprietary AI accelerator AxlCORE-ODL, and a variety of peripheral circuits. The ML63Q2500 MCUs permit real-time operational status monitoring while avoiding network latency issues and security risks. With a low 40mW power consumption during AI processing, the series is ideal for anomaly detection and predictive maintenance in industrial applications.