PICO Arducam Examples

Table of contents

• Table of contents
• Getting Started
• Quick Pico Setup
• Arducam Demo
  • Download and Build
  • Test Arducam demo
• Person Detection
  • Download and Build
  • Test Person Detection
    • View output
  • Person Detection Diagram

Getting started

See Getting Started with the Raspberry Pi Pico and the README in the pico-sdk for information on getting up and running.

Quick Pico Setup

If you are developing for Raspberry Pi Pico on the Raspberry Pi 4B, or the Raspberry Pi 400, most of the installation steps in this Getting Started guide can be skipped by running the setup script. You can get this script by doing the following:

git clone https://github.com/raspberrypi/pico-setup.git

Then run:

 pico-setup/pico_setup.sh

The script will:

• Create a directory called pico
• Install required dependencies
• Download the pico-sdk, pico-examples, pico-extras, and pico-playground repositories
• Define PICO_SDK_PATH, PICO_EXAMPLES_PATH, PICO_EXTRAS_PATH, and PICO_PLAYGROUND_PATH in your ~/.bashrc
• Build the blink and hello_world examples in pico-examples/build/blink and pico-examples/build/hello_world
• Download and build picotool (see Appendix B). Copy it to /usr/local/bin. • Download and build picoprobe (see Appendix A).
• Download and compile OpenOCD (for debug support)
• Download and install Visual Studio Code
• Install the required Visual Studio Code extensions (see Chapter 6 for more details)
• Configure the Raspberry Pi UART for use with Raspberry Pi Pico

Once it has run, you will need to reboot your Raspberry Pi,

sudo reboot

Get Arducam

• Download RPI-Pico-Cam

git clone https://github.com/ArduCAM/RPI-Pico-Cam.git

• Compile

cd RPI-Pico-Cam/arducam_demo
mkdir build 
cd build 
cmake ..

make

Then you will creat some files under RPI-Pico-Cam/arducam_demo/build/Arducam path

Test Arducam demo

• Hardware connection

• Load and run arducam_demo The simplest method to load software onto a RP2040-based board is by mounting it as a USB Mass Storage Device. Doing this allows you to drag a file onto the board to program the flash. Go ahead and connect the Raspberry Pi Pico to your Raspberry Pi using a micro-USB cable, making sure that you hold down the BOOTSEL button to force it into USB Mass Storage Mode.

If you are logged in via ssh for example, you may have to mount the mass storage device manually:

$ dmesg | tail
[ 371.973555] sd 0:0:0:0: [sda] Attached SCSI removable disk
$ sudo mkdir -p /mnt/pico
$ sudo mount /dev/sda1 /mnt/pico

If you can see files in /mnt/pico then the USB Mass Storage Device has been mounted correctly:

$ ls /mnt/pico/
INDEX.HTM INFO_UF2.TXT
Copy your arducam_demo.uf2 onto RP2040:
sudo cp arducam_demo.uf2 /mnt/pico
sudo sync

Person Detection

• Download RPI-Pico-Cam

git clone https://github.com/ArduCAM/RPI-Pico-Cam.git

• Compile

cd RPI-Pico-Cam/tflmicro
mkdir build 
cd build 
cmake ..

make

Then you will creat some files under RPI-Pico-Cam/tflmicro/build/examples/person_detection path

Test Person Detection

• Hardware connection

• Load and run person_detection The simplest method to load software onto a RP2040-based board is by mounting it as a USB Mass Storage Device. Doing this allows you to drag a file onto the board to program the flash. Go ahead and connect the Raspberry Pi Pico to your Raspberry Pi using a micro-USB cable, making sure that you hold down the BOOTSEL button to force it into USB Mass Storage Mode.

If you are logged in via ssh for example, you may have to mount the mass storage device manually:

$ dmesg | tail
[ 371.973555] sd 0:0:0:0: [sda] Attached SCSI removable disk
$ sudo mkdir -p /mnt/pico
$ sudo mount /dev/sda1 /mnt/pico

If you can see files in /mnt/pico then the USB Mass Storage Device has been mounted correctly:

$ ls /mnt/pico/
INDEX.HTM INFO_UF2.TXT

Copy your person_detection_int8.uf2 onto RP2040:

sudo cp examples/person_detection/person_detection_int8.uf2 /mnt/pico
sudo sync

View output

The person detection example outputs some information through usb, you can use minicom to view:

minicom -b 115200 -o -D /dev/ttyACM0

The person detection example also outputs the image data and person detection results to the UART, and we provide a processing program to display them:

Tips: You can download the Processing here or Processing for Pi.

Person Detection Diagram

Person Detection Screen

• Download RPI-Pico-Cam

git clone https://github.com/ArduCAM/RPI-Pico-Cam.git

• Compile

cd RPI-Pico-Cam/tflmicro
mkdir build 
cd build 
cmake ..

make

Then you will creat some files under RPI-Pico-Cam/tflmicro/build/examples/person_detection_screen path

Tips: If you don't want to compile, you can use the above pre-built uf2 file, you only need to wire the hardware and download uf2 to the device.

Test Person Detection Screen

• Hardware requirements

Learn more here: pico4ml-an-rp2040-based-platform-for-tiny-machine-learning

• Load and run person_detection_screen The simplest method to load software onto a RP2040-based board is by mounting it as a USB Mass Storage Device. Doing this allows you to drag a file onto the board to program the flash. Go ahead and connect the Raspberry Pi Pico to your Raspberry Pi using a micro-USB cable, making sure that you hold down the BOOTSEL button to force it into USB Mass Storage Mode.

If you are logged in via ssh for example, you may have to mount the mass storage device manually:

$ dmesg | tail
[ 371.973555] sd 0:0:0:0: [sda] Attached SCSI removable disk
$ sudo mkdir -p /mnt/pico
$ sudo mount /dev/sda1 /mnt/pico

If you can see files in /mnt/pico then the USB Mass Storage Device has been mounted correctly:

$ ls /mnt/pico/
INDEX.HTM INFO_UF2.TXT

Copy your person_detection_screen_int8.uf2 onto RP2040:

sudo cp examples/person_detection_screen/person_detection_screen_int8.uf2 /mnt/pico
sudo sync

View output

The person detection screen example outputs some information through usb, you can use minicom to view:

minicom -b 115200 -o -D /dev/ttyACM0

The person detection screen example also outputs the image data and person detection screen results to the UART, and you can see them directly on the screen. {}