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 application 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. The built-in data intelligence utility spots noise and trends at a glance and balance sampling rates.
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—central processing unit (CPU), neural processing unit (NPU) and digital signal processor (DSP)—and is compatible with MCUXpresso, CodeWarrior, (IAR) and (GCC). Two simple application programming interface (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, to bring 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 machine learning (ML) engineers, anyone can 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.
