In an age where every sensor tick and vibration spike can tell a story, time-series data is the new frontier for
intelligent edge applications. But harnessing that data—cleaning it, modeling it and deploying it—often demands
deep
expertise and weeks of trial and error. Enter eIQ® Time Series Studio, NXP’s free, end-to-end toolkit that brings
automated machine learning (AutoML) for time-series AI to microcontrollers and applications processors.
Why Time-Series AI Matters at the Edge
Deploying AI at the edge, right where data is generated, unlocks faster decision-making, lower latency, reduced power
draw and stronger data privacy (no back-and-forth to the cloud). While NXP has long championed AI for vision,
voice,
LLMs and generative AI, time-series AI tackles critical tasks such as anomaly detection, classification and
regression
in real-world, sensor-driven environments. From predicting equipment failures on factory floors to spotting early
appliance malfunctions at home, time-series AI is powering next-generation use cases across industry, automotive,
medical and smarthome sectors.
Time-series AI transforms edge decisions – experience eIQ Time Series Studio in action. Tune
into the latest EdgeVerse
Techcast episode
to dive deeper.
Streamlining the ML Workflow
Most time-series projects stall in the data-wrangling phase: multiple sampling rates, noisy signals, misaligned
streams and manual tuning can eat up weeks of development time. eIQ
Time
Series Studio solves these challenges by bringing
every
step into one intuitive UI.
eIQ Time Series Studio accelerates model creation, optimization and deployment,
reducing time-to-market for developers.
Data Curation and Visualization
Log, clean, label, align and explore your raw sensor streams. Spot noise and trends at a glance and balance sampling
rates with the built-in data intelligence utility.
AutoML Model Generation
Skip tedious trial-and-error. The integrated AutoML engine intelligently explores signal processing options and model
architectures, optimizing for accuracy, memory footprint and inference speed—all without writing a line of code.
Emulation
Preview and validate how models will behave on your target microcontroller or application processor.
One-Click Deployment
When you’re ready, eIQ Time Series Studio generates a custom library targeting various supported cores (CPU, NPU,
DSP)
and is compatible with MCUXpresso, CodeWarrior, IAR and GCC . Two simple API calls—initialize and infer—get your
model
running on NXP hardware.
Real-World Use Cases
Industrial Automation
Detect early signs of bearing wear or abnormal vibration in robotic assembly lines—preventing costly downtime and
extending equipment lifespan.
Smart Appliances
Monitor washing machines and refrigerators for unusual sounds or temperature spikes, alerting maintenance before
small
issues become big headaches.
Safety and Reliability
Leverage arc-fault detection to catch electrical anomalies that could spark wildfires, bringing life-saving
intelligence
to energy and building systems.
Making Edge AI Accessible
Perhaps the most disruptive aspect of eIQ Time Series Studio is its cost: free. By removing licensing barriers and
embedding powerful AI workflows into a single, unified tool, NXP empowers developers of all skill levels, from
embedded
novices to seasoned ML engineers, to deliver real-time intelligence where it matters most.
Get Started Today
Ready to turn your sensor data into actionable AI? Download the full eIQ Toolkit —including Time Series Studio. We
can’t
wait to see what you’ll build at the edge.
