Overview

Description

Reality AI Tools® allows engineers to generate and build TinyML/Edge AI models based on advanced signal processing. Users can automatically explore sensor data and generate optimized models. Reality AI Tools contains analytics to find the best sensor or combination of sensors, locations for sensor placement, and automatic generation of component specs and includes fully explainable model functions in terms of time/frequency domains, and optimized code for Arm® Cortex® M/A/R implementations.

AI ExploreAI Explore
Automated Feature Exploration / Model Generation

BOM OptimizationBOM Optimization
Use AI to find the most cost-effective components

Data ReadinessData Readiness
Understand the state of training and testing

Edge AI/TinyMLEdge AI / TinyML
Super-compact, efficient code for the smallest MCUs

Optional Add‑onsOptional
Add-ons

Reality AI for MATLAB or Radar

Documentation

Title Type Date
PDF1.55 MB
Product Brief
PDF540 KB
Guide
PDF3.08 MB
Product Brief
PDF3.85 MB日本語
White Paper
PDF486 KB
White Paper

Design & Development

Explore

Reality AI
Subtitle
See all Reality AI Software Solutions
Delivering Endpoint Intelligence with Real Time Analytics and Non-Visual Sensing

Videos & Training

RealityCheck™ HVAC Demo Overview

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.

AI-Driven Feature Discovery

Features are mathematical descriptions of "things that matter" for purposes of telling the difference between classes, predicting a variable, or detecting anomalies.

Features searched by Reality AI Tools® include:

  • Common transforms on raw data, including logs, powers, derivatives, sign, and more
  • Parametric statistical features and peak analysis
  • Spectral features, including power, phase, spectral shape, periodicity, cepstral, wavelet, etc.
  • Linear and non-linear dimensionality reduction
  • Time-frequency sparse coding and time pattern analysis
  • Binary pattern and texture analysis
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AI-Driven Feature Discovery

 

Automatically Explores Sensor Data and Generates Optimized Models

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How Reality AI Tools Works

 

AI Explore

AI Explore automatically finds alternative solutions and tells you what it found.

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AI Explore

Additionally, the processing requirements for each possible solution can be shown so you can make necessary trade-offs.

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AI Explore - Shows processing requirements for each possible solution.

 

Explainable AI

With Explainable AI, specific class signatures can be inspected in terms engineers understand.

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Explainable AI

 

Sensor Selection

Identify the best performing sensors, and the best, most cost-effective locations.

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Sensor Selection

 

Setting Specifications

Use AI to set minimum component specifications.

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Measurement Error Tolerance
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Scaled Noise Sensitivity
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Sample Rate Sensitivity

 

Automated Monitoring

The cheapest problems to fix are the ones you catch early. Reduce the cost of data collection through automated monitoring for common pitfalls.

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Data Distribution - Category Coverage
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Data Distribution - File Consistency
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Data Quality
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Class X Capacity

 

Easy Integration

Easily integrate Reality AI Tools with your firmware build. Reality AI Tools supports Arm® Cortex® M, R and A architectures from all major manufacturers, as well as Linux and Windows. Many non-Arm architectures are also supported. Ask us about your target processor.

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Easy Integration with Reality AI Tools

 

Add-ons for Reality AI Tools

Reality AI for MATLAB

Read MATLAB data files, and use Reality AI to generate models for the MATLAB Signal Processing and Machine Learning toolboxes. Full transparency of MATLAB code - See the details of optimized feature computations and machine learning models generated by Reality AI.

Reality AI for Radar

Automatically select and optimize radar pre-processing options for greater model accuracy. For professional developers working with radar.

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In-vehicle AI

 

Use Cases

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Reality Time Analysis

Reality Time Analysis

Use our analytics engine to support hardware design (not just algorithms and model building)

 

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Anomaly Detection

Anomaly Detection

Reality AI software helps you detect anomalies by learning normal behavior. You can use the built-in anomaly detection and condition monitoring dashboard, or create your own.

 

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Predictive Maintenance & Remaining-Useful-Life

Predictive Maintenance & Remaining-Useful-Life

Predict the remaining useful life of components (filters, etc.), identify operational conditions, and detect abnormal conditions.

 

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Sensorless Sensing with Motor Control

Sensorless Sensing with Motor Control

Develop predictive maintenance applications with no addition to the Bill of Materials - only a firmware upgrade to the motor control board.