Reality AI Tools

Explore the enhanced functionalities in Reality AI Tools and the new features integrated into Renesas e² studio. Reality AI Utilities reduce the complexity of creating lightweight ML models while improving and stabilizing results. These tools enable embedded engineers to work directly with AI tools.

Motor failure can be costly, and traditional detection methods often require adding external sensors, increasing system complexity and cost. Renesas introduces a new approach that combines AI and signal processing to detect motor anomalies at startup without the need for additional sensors.

Using the RA6T2 Motor Control Kit, this video demonstrates how this innovative solution helps detect potential failures early, offering a cost-effective and efficient motor monitoring strategy.

Learn how Reality AI Utilities streamlines the process of building and deploying AI/ML models on edge devices. Integrated with Renesas e² studio, this tool offers a seamless round-trip workflow for AI development and performance validation, allowing you to easily collect data, optimize models, and deploy them directly to embedded projects on Renesas hardware.

Watch an overview of how the Reality AI Tools® Explorer tier lets you develop AI-based software that interprets sensor data in real-time on Renesas MCUs. Get started today with a free trial of the complete Reality AI Tools AI/ML development environment.

This demonstration shows how the Reality AI Load Detection solution allows a sensorless three-phase brushless DC motor (BLDC) or permanent magnet synchronous motor (PMSM) system to detect its load during startup stress without adding components to the BOM.

It’s not unusual to have data-driven engineering challenges with motor control systems, but Reality AI Tools^® and the RealityCheck^™ Motor Toolbox from Renesas make them manageable for developers.

A look at how data-driven engineering tools can learn from examples to make a decision and ultimately be deployed automatically.

Learn how we implement an Emergency Scream Detection application using a model created with Reality AI Tools and deployed on the RA6E1 Voice Kit. We will outline the model workflow, demonstrate real‑time detection on the RA6E1 MCU, and provide a clear setup process using the included demo package. 

Demo of the vacuum cleaner floor type detection application example that detects different surface textures with a trained classifier to help vacuums run at the highest efficiency. For more information visit the Reality AI Tools page.

See how to use the scalable Renesas AI Kits to evaluate and test the application examples and develop your own solutions using Reality AI Tools or other available ecosystem and AI/ML software.

Watch a short demo of the voice anti-spoofing application example that runs on the higher-performance Voice User Interface kits. Visit the Voice & Face Recognition page to learn more.

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.

An overview of how the integration of Renesas Reality AI Tools^® and e² studio IDE can simplify your development cycle and for AI / ML edge and endpoint applications. Visit the Reality AI software page for more details or download e² studio to interact with the Reality AI Tools.

Did you know most day-to-day processing operations actually occur at the edge or endpoint of the network? Find out more about what is happening in the Edge AI space.

To make AI systems truly work, it is crucial to have a well-integrated combination of specialized AI software and hardware components. Watch to learn more about why this is so important.

This video previews one of the many steps Renesas is taking to simplify the developer experience when leveraging Reality AI Tools to add AI / ML functionality to their embedded IoT designs. Get more details at renesas.com/realityai.

This short overview shows how Renesas RealityCheck HVAC AI software can make your system smarter and diagnose and resolve anomalies before issues require maintenance. Watch the video to learn more and visit renesas.com/realityai to learn more and request a demo.

Renesas combines the RA6T2 motor control development kit with the Reality AI software to make machine learning run natively in motor control board firmware, enabling predictive maintenance functionality without additional sensors.

See how you can use Reality AI software and tools to develop products using sensors and machine learning on low-power, general purpose microcontrollers from Renesas. Learn more at renesas.com/ai

Renesas explains how the Reality AI software platform enables AI on low-power, inexpensive microcontrollers. 

What is Edge AI? As a company on the cutting-edge of innovation in the field, Renesas' Reality AI experts answer the question about the very core of our business.

Renesas' Reality AI team discusses the key points of creating your AI models and then embedding them on your MCU.

Renesas' Reality AI team discusses what exactly are features and what we are looking for when building our machine learning models.