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.

Register for a free trial of Reality AI Explorer to experience firsthand how Reality AI Tools can help you develop AI and TinyML solutions in industrial, automotive and commercial applications.

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

Target Devices

Documentation

Design & Development

Sample Code

Related Boards & Kits

Boards & Kits

News & Blog Posts

Blog Post Jul 16, 2024
Blog Post Jun 1, 2024
Blog Post Jun 29, 2023
Blog Post Aug 31, 2022
Blog Post Aug 30, 2022
Blog Post Aug 29, 2022
Blog Post Aug 26, 2022
Blog Post Aug 25, 2022
Blog Post Aug 17, 2022
Blog Post Aug 17, 2022
Blog Post Aug 17, 2022
Blog Post Aug 16, 2022
Blog Post Aug 16, 2022
Blog Post Aug 16, 2022
Blog Post Aug 16, 2022
Blog Post Aug 15, 2022
Blog Post Aug 12, 2022
Blog Post Aug 12, 2022
Blog Post Aug 12, 2022
Blog Post Aug 11, 2022

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, signs, 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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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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Setting Specifications

Use AI to set minimum component specifications.

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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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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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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.