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.
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.
AI Explore
Automated Feature Exploration/Model Generation
BOM Optimization
Use AI to find the most cost-effective components
Data Readiness
Understand the state of training and testing
Edge AI/TinyML
Super-compact, efficient code for the smallest MCUs
OptionalTarget Devices
Design & Development
Sample Code
Related Boards & Kits
Development
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Demonstration
TW001-VUIA6E1POCZ
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Easy-to-use hardware platform for Voice User Interface (VUI) solutions based on the RA6E1 MCU.
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Test this Board Remotely
Available on Lab on the Cloud, use our PC-based GUI to instantly start configuring and testing designs in our virtual lab, no physical board needed.
Demonstration
VK-RA8M1
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RA8M1 Voice User Demonstration Kit
Easy-to-use hardware platform for Voice User Interface (VUI) solutions based on the RA8M1 MCU.
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Explore
Videos & Training
Reality AI Tools and Reality AI Utilities
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.
Related Resources
Video List
Events & Webinars
News & Blog Posts
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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AI Explore
AI Explore automatically finds alternative solutions and tells you what it found.
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Additionally, the processing requirements for each possible solution can be shown so you can make necessary trade-offs.
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Explainable AI
With Explainable AI, specific class signatures can be inspected in terms engineers understand.
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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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Use Cases
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Reality Time Analysis
Use our analytics engine to support hardware design (not just algorithms and model building)
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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
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
Develop predictive maintenance applications with no addition to the Bill of Materials - only a firmware upgrade to the motor control board.