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
Automatically Explores Sensor Data and Generates Optimized Models
AI Explore automatically finds alternative solutions and tells you what it found
Explainable AI: Specific class signatures can be inspected in terms engineers understand
Shows processing requirements for each possible solution so you can make necessary trade offs
Identify the best performing sensors, and the best, most cost-effective locations
Use AI to set minimum component specifications
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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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Easily integrate
Easily integrate Reality AI with your firmware build
Reality AI supports ARM Cortex M, R and A architectures from all major manufacturers, as well as Linux and Windows. We also support many non-ARM architectures. Ask us about your target processor.
Easily integrate Reality AI with your firmware build
Reality AI supports ARM Cortex M, R and A architectures from all major manufacturers, as well as Linux and Windows. We also support many non-ARM architectures. Ask us about your target processor.
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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