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.
Automated Feature Exploration / Model Generation
Use AI to find the most cost-effective components
Understand the state of training and testing
Edge AI / TinyML
Super-compact, efficient code for the smallest MCUs
Reality AI for MATLAB or Radar
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.
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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:
AI Explore automatically finds alternative solutions and tells you what it found.
Additionally, the processing requirements for each possible solution can be shown so you can make necessary trade-offs.
With Explainable AI, specific class signatures can be inspected in terms engineers understand.
Identify the best performing sensors, and the best, most cost-effective locations.
Use AI to set minimum component specifications.
The cheapest problems to fix are the ones you catch early. Reduce the cost of data collection through automated monitoring for common pitfalls.
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.
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.
Automatically select and optimize radar pre-processing options for greater model accuracy. For professional developers working with radar.
Use our analytics engine to support hardware design (not just algorithms and model building)
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.
Predict the remaining useful life of components (filters, etc.), identify operational conditions, and detect abnormal conditions.
Develop predictive maintenance applications with no addition to the Bill of Materials - only a firmware upgrade to the motor control board.