Real-Time Analytics & Non-Visual Sensing

Edge AI and TinyML have paved the way for enterprises to build smart product features that use machine learning running on highly constrained edge nodes.

Reality AI is an Edge AI software development environment that combines advanced signal processing, machine learning, and anomaly detection on every MCU/MPU Renesas core. The software is underpinned by the proprietary Reality AI ML algorithm that delivers accurate and fully explainable results supporting diverse applications. These include equipment monitoring, predictive maintenance, and sensing user behavior as well as the surrounding environment – enabling these features to be added to products with minimal impact on the BoM.

Reality AI software running on Renesas processors will help you deliver endpoint intelligence in your product offering and support your solutions across all markets.

Try Reality AI Explorer to experience firsthand how Reality AI Tools can help you develop AI and TinyML solutions in industrial, automotive, and commercial applications.

Technical Advantages

Fully Integrated Toolchain

The Reality AI software comes with integration to Renesas e2studio, plus support for all Renesas cores and MCU dev boards. Integration with Renesas Motor Control kits is available as an add-on option.

Small Footprint for Speed & Accuracy

Unlike approaches that use quantization, compression, pruning or other machine learning techniques that make models small but erode accuracy, Reality AI combines advanced signal processing methods with machine learning that deliver full accuracy in a tiny footprint without compromises.

Transparency with Model Explainability

No engineer will deploy a solution they don't understand, so Reality AI offers transparency into model function based on time and frequency, as well as full source code available in C or MATLAB. You can always explain to colleagues and stakeholders why models perform as they do, and why they should be trusted.

Cost Optimization

Instrumentation and data collection are >80% of the cost of most machine learning projects, and Reality AI has analytics that can help reduce the cost of both. Reality AI Tools® can identify the most cost-effective combinations of sensor channels, find the best sensor locations, and generate minimum component specifications. It can also help you manage the cost of data collection by finding instrumentation and data processing problems as data is gathered.

Reality AI Software Solutions

Reality AI Tools®

Automatically explore sensor data and generate optimized models

RealityCheck™ AD

Anomaly detection for monitoring factory and process-industry assets

Automotive Seeing with Sound (SWS)

Combine hardware and software to give passengers a new level of protection

RealityCheck™ HVAC Solutions Suite

Complete framework for smart, self-diagnosing HVAC systems

RealityCheck™ Motor Toolbox

Advanced software toolbox enabling predictive maintenance and anomaly detection

Reality AI Utilities

Plug-in module for Renesas e² studio

Resources

Documentation

Type Title Date
White Paper PDF 2.20 MB
White Paper PDF 951 KB
Flyer PDF 679 KB
White Paper PDF 655 KB
White Paper PDF 875 KB 日本語
White Paper PDF 717 KB
6 items

Videos & Training

Reality AI Overview

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

News & Blog Posts

Blog Post Oct 16, 2024
Blog Post Jul 16, 2024
News Jul 16, 2024
Blog Post Mar 13, 2024
News Sep 21, 2023
Blog Post Jun 29, 2023
Blog Post Aug 31, 2022
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Blog Post Aug 12, 2022
Blog Post Aug 11, 2022