Exploring Edge AI with NXP's FRDM-MCXN947

I recently attended NXP technology day in Auckland, where the latest innovations from NXP were showcased - including their microcontrollers, i.MX microprocessors, and other advanced semiconductor technologies. NXP, a leading Dutch semiconductor company, designs and manufactures a wide array of products for automotive, industrial, and IoT applications. Among their latest developments is the MCX series of microcontrollers, which unifies the legacy Philips and Kinetis families into a new, modern MCU architecture.

What particularly caught my attention was the MCXN947 from the MCX N series. This device delivers high performance and low power consumption, while integrating a neural processing unit (NPU) to enable on-device AI processing. As computing increasingly moves to the edge, it's exciting to see compact, energy-efficient hardware like this supporting real-time AI workloads. NXP also hosted a hands-on machine learning session with the MCXN947, which inspired me to explore its potential as an edge AI platform.

• Hardware Requirements
• Software Setup
• Building a Classification Project
• Deploying the Model
• MCUXpresso IDE
• Data Logging
• Anomaly Detection