eIQ® Time Series Studio for Edge AI Development

eIQ-TSS

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eIQ® Time Series Studio (TSS) is an end-to-end development tool with automated machine learning (autoML) that simplifies creating and optimizing time series AI models for NXP processors. TSS streamlines the workflow including data curation, model generation, optimization, emulation and deployment. Such efficiency allows for fast, seamless integration of time series AI into embedded systems for predictive insights.

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
  • Emulation environment for rapid prototyping and validation
  • Deployment to CPU, neural processing unit (NPU) or digital signal processor (DSP) of NXP microcontrollers and applications processors
  • 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

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  • Software Development Resources

    eIQ Time Series Studionew

    EXTERNALRev 0Sep 26, 2025 16:54:00EIQ-TIME-SERIES-STUDIO
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Note: For better experience, software downloads are recommended on desktop.

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

Training

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