eIQ® Time Series Studio for Edge AI Development

eIQ-TSS

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Available through both web access  and on-prem installation.

eIQ® Time Series Studio (TSS) is an end-to-end development tool featuring automated machine learning (autoML) to simplify the creation, optimization and selection of time series AI models for NXP processors. TSS streamlines the workflow including data curation, model generation, optimization, emulation and deployment. Such efficiency reduces development time and complexity, enabling fast, seamless integration of time series AI into embedded systems for real-time predictive insights.

Diagram

eIQ® Time Series Studio

eIQ® Time Series Studio for Edge AI Development Block Diagram
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Features

End-to-End Development Pipeline

  • Streamlines data curation, model generation, optimization, emulation and deployment
  • Supports anomaly detection, classification and regression tasks

Automated Machine Learning (autoML)

  • Automates data preprocessing, feature engineering, model selection and hyperparameter tuning
  • Enables one-click generation of models optimized for accuracy, RAM and flash constraints
  • Expedites model creation and optimization from several weeks to just hours

Comprehensive Data Handling

  • Logs, imports, cleans, labels, aligns and explores time series data from multiple sources
  • Supports a wide range of sensor inputs: voltage, current, temperature, vibration, pressure, sound, time of flight and more
  • Defines custom channels and classes for tailored model training
  • Balances sampling rates and spots noise and trends at a glance through a data intelligence utility

Advanced Visualization and Analysis

  • Data visualization tools: raw, temporal, statistical and spectral views
  • Interactive data exploration and analysis

Flexible Model Development

  • Command line interface and graphical interface designed for developers with different needs
  • Deployment to CPU, neural processing unit (NPU) or digital signal processor (DSP) of NXP microcontrollers and applications processors
  • Generates a custom C/C++ library and simple API calls for ease of deployment
  • Emulation environment for rapid prototyping and validation
  • Compatible with MCUXpresso, CodeWarrior, IAR and GNU compiler collection (GCC)

Edge AI Ready

  • Designed for low-latency, energy-efficient edge AI applications
  • Offline tool available to enhance data privacy

Bring-Your-Own-Data (BYOD) and Bring-Your-Own-Model (BYOM)

  • Builds models from scratch using collected data
  • Import, convert and deploy existing deep-learning models on NXP platforms

Supported Devices

System Requirements

Downloads

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4 downloads

Note: For better experience, software downloads are recommended on desktop.

Documentation

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Design Resources

Hardware

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Related Software

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2 software files

Note: For better experience, software downloads are recommended on desktop.

Training

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