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

Software timers and Ring Buffered UART Com for LPC824 MCU

In this article, I would like discuss about using LPC82x MCU with MCUXpresso IDE. I will use LPCXpresso824-MAX Board as a hardware platform.

• Environment Setup
• SDK Example
• Soft Timers
• Com

K82 USB CDC Virtual Comm

In this article, we will discuss about using K82 as a USB CDC virtual com device. Setting up environment for K82 development is discussed in previous article at the following link.

http://cool-emerald.blogspot.com/2020/01/getting-started-with-frdm-k82f.html

• SDK VCom Example
• Ring Buffered VCom

Software timers and Ring Buffered UART Com for Kinetis K82 MCU

In this article, I would like discuss about using Kinetis K82 MCU with MCUXpresso IDE. I will use FRDM-K82F development board as a hardware platform. Setting up environment for K82 development is discussed in previous article at the following link.

http://cool-emerald.blogspot.com/2020/01/getting-started-with-frdm-k82f.html

• SDK Example
• Soft Timers
• Com

Flash content protection for LPC824

In this article, I would like to discuss about evaluation of LPC824 low cost 32-bit ARM Cortex-M0 microcontroller using OM13071 LPCXpresso824-MAX Development board. LPC824M201JHI33 is used in the board. Its size is only 5 x 5 x 0.85 mm in HVQFN package.

In order to evaluate it, MCUXpresso Integrated Development Environment (IDE) is downloaded and installed. Other tools for it can be found at this link . After launching MCUXpresso and assigning a workspace folder, example projects can be imported by clicking Quick Start Panel (near bottom left corner) -> Import projects from file system ... -> Browse LPC open resources as shown in the following figure.

Controlling Your Hardware from the Web Using Arduino

Using Arduino Ethernet shield 2 to control a hardware from the web is discussed. Arduino Ethernet 2 Library is used to implement in an Arduino Uno board as a server in an example as well as a client in an another example. The latest version Arduino IDE ( 1.7.6 in our case ) is used in the following examples. An Arduino Uno board with Ethernet shield 2 is shown below.

Figure. Arduino Uno paired with Arduino Ethernet shield 2.

Accelerometer LIS3DSH

LIS3DSH is an 3-axis MEMS accelerometer made by STMicroelectronics. Its full scale range is selectable from ±2g to ±16g. The size is small and it is only 3mm x 3mm. Either SPI or I²C can be used to interface with it. Supply voltage is from 1.71 V to 3.6 V. In this article, testing and evaluation of STEVAL-MKI134V1 adapter board is discussed.

Figure. STEVAL-MKI134V1 - LIS3DSH adapter board for standard DIL24 socket.