RealityCheck™ Motor is an add-on software toolbox that enables conditional monitoring and predictive maintenance functionality without relying on additional sensors. Rather, it uses electrical information from the motor control process as a proxy for vibration and other sensors. With its advanced signal processing and Machine Learning (ML) models, RealityCheck Motor is an add-on to Reality AI Tools® software engineered to create algorithms that detect and classify small fluctuations and anomalies of various conditions like load, vibration and others. It then relates them to known conditions or failure modes and unknown anomalies.

With no external sensors required, RealityCheck Motor enables the detection of minute changes in system parameters that are indicative of anomalies and maintenance issues. This toolbox can be deployed on the endpoint for early detection of faults in a motor system, allowing for timely maintenance, reducing downtime and intensive repair costs.

RealityCheck Motor is designed to work seamlessly with Renesas MCUS, MPUs, and motor-driven applications, enabling hardware optimization and the creation of software models. This software toolbox along with Reality AI Tools software, provides a low-code automated machine learning platform for creating, validating, and deploying sensor classification or prediction models at scale in the targeted Renesas embedded devices of your choice.

By combining advanced signal processing and ML models with internal data, RealityCheck Motor allows for proactive maintenance, reducing the risk of cost-intensive failures and improving overall system reliability. With its ease of use and powerful capabilities, RealityCheck Motor is the perfect toolbox and add-on functionality for those looking to optimize their motor systems and ensure maximum efficiency and uptime.


  • Performance optimized, real-time capable and extended data collection engine
  • Enables sensorless ML models, reducing product BoM
  • Embedded conditional monitoring, predictive maintenance, anomaly detection, and control feedback


  • Eliminates unexpected downtime for equipment owners and operators
  • Extend equipment lifespan
  • Reduces maintenance costs
  • Optimizes energy efficiency

Target Devices


Type Title Date
Flyer PDF 282 KB
White Paper PDF 628 KB 日本語 , 简体中文
2 items

Design & Development

Related Kits & Tools

RA8T1 Dual Motor Anomaly Detection

See how Reality AI software from Renesas detects operating anomalies without sensors using predictive maintenance in firmware on the MCK-RA8T1 motor control development kit. This demo combines two kinds of AI models in a single project, one generated by Reality AI Tools and one ported using Renesas e-AI.

News & Blog Posts

Problems We Solve

This unique product allows you to detect anomalies in all motor-driven applications, even when the anomalies are not easily detectable by traditional sensors like vibration sensors or temperature sensors. It helps address:

  • Load balancing and alignment
  • Bearing wear
  • Any load monitoring or predictive maintenance application where vibration sensors or accelerometers might traditionally be deployed

Target Applications:

  • Consumer appliances
  • Industrial machinery and automation 
  • HVAC systems
  • Automotive applications
  • Renewable energy systems
  • Building automation
  • Home appliances
  • Adding smart monitoring or predictive maintenance functionality to any motor-driven system