How to Train AI Models for Microcontrollers with Edge Impulse

Discover how Edge Impulse machine learning is revolutionising AI development for embedded systems and edge devices. In this in-depth look from Hardware Pioneers Max 2025, we speak to Ivan from Edge Impulse about how their cloud platform enables engineers to train, test, and deploy powerful edge AI models to almost any hardware—no matter your architecture.

Whether you’re developing with microcontrollers, ARM-based processors, or next-gen NPUs, Edge Impulse machine learning provides the workflow to get your AI projects up and running quickly. From time-series data like vibration and gas sensors to full-blown computer vision and audio processing, Edge Impulse supports it all.

Edge Impulse enables:
• Real-time object detection
• Visual language model (VLM) integration
• Anomaly detection in industrial systems
• On-device keyword spotting
• Predictive maintenance and more

💡 Want to build your first machine learning model for the edge? With Edge Impulse, you don’t need a background in AI or access to a massive dataset. Their tools guide you through every step: collect your data, label it, train a model, and deploy it directly to your device. Yes, even your phone.

🧠 Plus, Edge Impulse machine learning supports C++ code generation, Arduino library exports, and optimised runtimes for hundreds of chipsets. Whether you’re working on wearables, smart cameras, environmental monitors, or industrial automation systems, this platform simplifies everything from model training to deployment.

In this demo, we explore:
• Data collection workflows
• The Edge Impulse online IDE
• Model optimisation for NPUs like the Qualcomm IQ975
• Deployment to microcontrollers and smart sensors
• Real-time performance and inference results

🔥 Need use-case inspiration? Try:
• Detecting if a person is wearing safety gear on-site
• Analysing vibrations for motor faults
• Recognising sounds in smart home devices
• Classifying gas levels in environmental monitoring

💬 Want to learn more? Head to Edge Impulse’s website or join their Discord community with thousands of developers sharing ideas and support. With live workshops around the world, constant YouTube content, and a free-to-use community tier, there’s never been a better time to try Edge Impulse machine learning.

👇 SUBSCRIBE for more engineering content from Hardware Pioneers, ipXchange, and beyond. We feature the best in embedded AI, sensor tech, edge computing, and developer tools.

📌 Chapters:
0:00 Intro
0:15 What is Edge Impulse?
1:00 Supported hardware platforms
1:30 Training & deploying models
2:15 Live computer vision demo
3:00 Real-world use cases
4:00 Get started today!

#EdgeImpulse #MachineLearning #EmbeddedAI #EdgeComputing #NPUs #HardwarePioneers #ipXchange #SensorTech #IndustrialAI #EdgeML #ComputerVision #KeywordSpotting #TinyML #MLDeployment #AIForEngineers #QualcommAI #EdgeImpulseMachineLearning #MicrocontrollerAI #EmbeddedMachineLearning #IoTML #AIChipset #IndustrialAutomation #SmartDevices #AIWorkflow #EdgeAI #EdgeInference

• The latest disruptive technology, ready to evaluate for your next design: ipxchange.tech/
• Join the ipX community: ipxchange.tech/sign-up/
• Submit your own electronics projects: ipxchange.tech/projects/
• Follow us on LinkedIn: www.linkedin.com/company/ipxchangeltd/

Learn more about ipXchange here: ipxchange.tech/about/