NXP Application Code Hub

Multiple Person Detection on MCXN947

Multiple-person detection based on the machine learning algorithm, powered by MCXN947.

The machine learning algorithm is accelerated by the NPU inside.

Boards: FRDM-MCXN947

Categories: AI/ML

Peripherals: DISPLAY

Toolchains: MCUXpresso IDE, VS Code

Table of Contents

1. Software
2. Hardware
3. Setup
4. Results
5. FAQs
6. Support
7. Release Notes

1. Software

• Download SDK_2_14_0_FRDM-MCXN947
• Download and install MCUXpresso IDE V11.9.0 or later.
• MCUXpresso for Visual Studio Code: This example supports MCUXpresso for Visual Studio Code, for more information about how to use Visual Studio Code please refer here.

2. Hardware

• 3.5" TFT LCD module by NXP (P/N PAR-LCD-S035)
• Camera module: OV7670
• FRDM-MCXN947 (SCH-90818_REV B) board
• Type-C USB cable

3. Setup

3.1 Step 1

Rework for camera pins on FRDM-MCXN947 because the camera is not the first function. Please change SJ16, SJ26, and SJ27 from the A side to the B side.

Board before rework.

Board after rework.

Here is the detail.

Attach the LCD shield (J1: Pins 5-28 skip first 4 pins) to FRDM (J8) Attach the camera shield to the FRDM (J9: Pins 5-23; skip first 4 pins), as shown below:

Connect the debug port on board with the laptop.

3.2 Step 2

Develop in MCUXpresso IDE

Import project into MCUXpresso, click 'Import project from Application Code Hub', search 'multiple person detection on mcxn947' example, and clone to the local workspace.

Build the project, after compile complete, use the GUI Flash Tool (2 in the following figure) to write the program to the board.

Develop in VS code

In VS code, select the 'MCUXpresso For VScode' plugin, and click 'Application Code Hub' in the QUICKSTART PANEL. Search 'multiple person detection on mcxn947' example, clone to local workspace. After a while, the project is shown in the 'Projects'.

Build the project, after compile complete, flash the board.

4. Results

Reset the board, and the demo will start detecting person, if detected person, it will draw a rectangle box around the target, and show the total number of targets, inference during at the bottom.

5. FAQs

No FAQs have been identified for this project.

6. Support

Please contact NXP for additional support.

Project Metadata

Questions regarding the content/correctness of this example can be entered as Issues within this GitHub repository.

Warning: For more general technical questions regarding NXP Microcontrollers and the difference in expected funcionality, enter your questions on the NXP Community Forum

7. Release Notes

Version	Description / Update	Date
1.0	Initial release on Application Code Hub	January 30th 2024