> ## Documentation Index
> Fetch the complete documentation index at: https://docs.edgeimpulse.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Raspberry Pi Pico

# Raspberry Pi RP2040

The [Raspberry Pi RP2040](https://www.raspberrypi.com/products/rp2040/) is the debut microcontroller from Raspberry Pi - and it's fully supported by Edge Impulse. You'll be able to sample raw data, build models, and deploy trained machine learning models directly from the studio. It's available for around \$4 from Raspberry Pi foundation and a wide range of distributors.

# Raspberry Pi RP2350

The second generation of Raspberry Pi microcontroller is out: [Raspberry Pi RP2350](https://www.raspberrypi.com/products/rp2350/). Including a dual Cortex M33 (running @ 150MHz) with a hardware single precision floating point unit. Architecture switching allows the RP2350 to switch to a dual core RISC-V architecture. For this integration we focused on the Cortex M33.

# Get started

To get started with the Raspberry Pi Pico and Edge Impulse you'll need:

* A [Raspberry Pi RP2040 or RP2350 microcontroller](https://www.raspberrypi.com/products/). The pre-built firmware and Edge Impulse Studio exported binary are tailored for [Raspberry Pi Pico](https://www.raspberrypi.com/products/raspberry-pi-pico/), but with a few simple steps you can collect the data and run your models with other RP2040-based boards, such as [Arduino Nano RP2040 Connect](https://docs.arduino.cc/hardware/nano-rp2040-connect/). For more details, check out ["Using with other Pico boards"](/hardware/boards/raspberry-pi-pico#using-with-other-rp2040-boards).
* (Optional) If you are using the [Raspberry Pi Pico](https://www.raspberrypi.com/products/raspberry-pi-pico/), the [Grove Shield for Pi Pico](https://wiki.seeedstudio.com/Grove-Starter-Kit-for-Raspberry-Pi-Pico/) makes it easier to connect external sensors for data collection/inference.

The Edge Impulse firmware for this development board is open source and hosted on GitHub: [edgeimpulse/firmware-pi-rp2xxx](https://github.com/edgeimpulse/firmware-pi-rp2xxx).

<Frame caption="Two RP2040 microcontroller chips.">
  <img src="https://mintcdn.com/edgeimpulse/XrFPT-8z2fazEgaU/.assets/images/6c6c4ca-chips-a126ba53c50bb160d65210696edf8ad9.png?fit=max&auto=format&n=XrFPT-8z2fazEgaU&q=85&s=692f6338d81143396bb2b56e989e5710" width="656" height="485" data-path=".assets/images/6c6c4ca-chips-a126ba53c50bb160d65210696edf8ad9.png" />
</Frame>

### Installing dependencies

To set this device up in Edge Impulse, you will need to install the following software:

1. [Edge Impulse CLI](/tools/clis/edge-impulse-cli/installation).
2. If you'd like to interact with the board using a set of pre-defined AT commands (not necessary for standard ML workflow), you will need to also install a serial communication program, for example `minicom`, `picocom` or use Serial Monitor from Arduino IDE (if installed).
3. On Linux:
   * GNU Screen: install for example via `sudo apt install screen`.

<Warning>
  **Problems installing the CLI?**

  See the [Installation and troubleshooting](/tools/clis/edge-impulse-cli/installation) guide.
</Warning>

### Connecting to Edge Impulse

With all the software in place, it's time to connect the development board to Edge Impulse.

#### 1. Connect the development board to your computer

Use a micro-USB cable to connect the development board to your computer while holding down the BOOTSEL button, forcing the Raspberry Pi Pico into USB Mass Storage Mode.

<Frame caption="Flashing firmware to the Raspberry Pi Pico.">
  <img src="https://mintcdn.com/edgeimpulse/mqaETyKntJOjsP_8/.assets/images/f30fb20-bootflashuf2pipico.gif?s=dbbb0b0d5e2f8334f23881ed29934bf8" width="533" height="479" data-path=".assets/images/f30fb20-bootflashuf2pipico.gif" />
</Frame>

#### 2. Update the firmware

The development board does not come with the right firmware yet. To update the firmware:

1. Download the latest Edge Impulse firmware:
   * [Pi Pico (RP2040)](https://cdn.edgeimpulse.com/firmware/raspberry-rp2040.zip)
   * [Pi Pico 2 (RP2350)](https://cdn.edgeimpulse.com/firmware/raspberry-rp2350.zip) (this zip folder contains the WiFi version as well)
2. Drag the `ei_rp2040_firmware.uf2` / `ei_rp2350_firmware.uf2` file from the folder to the USB Mass Storage device.
3. Wait until flashing is complete, unplug and replug in your board to launch the new firmware.

#### 3. Setting keys

From a command prompt or terminal, run:

```
edge-impulse-daemon
```

This will start a wizard which will ask you to log in, and choose an Edge Impulse project. If you want to switch projects run the command with `--clean`.

Alternatively, recent versions of Google Chrome and Microsoft Edge can collect data directly from your development board, without the need for the Edge Impulse CLI. See [this blog post](https://edgeimpulse.com/blog/collect-sensor-data-straight-from-your-web-browser) for more information.

#### 4. Verifying that the device is connected

That's all! Your device is now connected to Edge Impulse. To verify this, go to [your Edge Impulse project](https://studio.edgeimpulse.com/studio/profile/projects), and click **Devices**. The device will be listed here.

<Frame caption="Raspberry Pi Pico board connected to Edge Impulse Studio.">
  <img src="https://mintcdn.com/edgeimpulse/XrFPT-8z2fazEgaU/.assets/images/78fac54-pasted_image_0_4.png?fit=max&auto=format&n=XrFPT-8z2fazEgaU&q=85&s=787c29de8121b1427b42e69eb51fb99d" width="1470" height="330" data-path=".assets/images/78fac54-pasted_image_0_4.png" />
</Frame>

### Next steps: building a machine learning model

With everything set up you can now build your first machine learning model. Since Raspberry Pi Pico does not have any built-in sensors, we decided to add the following ones to be supported out of the box, with a pre-built firmware:

* [Grove Ultrasonic Ranger](https://wiki.seeedstudio.com/Grove-Ultrasonic_Ranger/) (GP16; pin D16 on Grove Shield for Pi Pico).
* [DHT11 Temperature & Humidity sensor](https://wiki.seeedstudio.com/Grove-TemperatureAndHumidity_Sensor/) (GP18; pin D18 on Grove Shield for Pi Pico).
* [LSM6DS3 Accelerometer & Gyroscope](https://wiki.seeedstudio.com/Grove-6-Axis_AccelerometerAndGyroscope/) (I2C0).
* [Analog Devices ADXL345 Accelerometer](https://www.seeedstudio.com/Grove-3-Axis-Digital-Accelerometer-16g.html) (I2C1).
* Analog signal sensor (pin A0).

There is a vast variety of analog signal sensors, that can take advantage of RP2040 10-bit ADC (Analog to Digital Converter), from common ones, such as Light sensor, Sound level sensor to more specialized ones, e.g. [Carbon Dioxide sensor](https://wiki.seeedstudio.com/Grove-Gas_Sensor-MQ9/), [Natural Gas sensor](https://wiki.seeedstudio.com/Grove-Gas_Sensor-MQ5/) or even an [EMG Detector](https://wiki.seeedstudio.com/Grove-EMG_Detector/).

Once you have the compatible sensors, you can then follow these tutorials:

* [Building a continuous motion recognition system](/tutorials/end-to-end/motion-recognition).
* [Building a sensor fusion model](/tutorials/end-to-end/environmental-sensor-fusion).
* [Recognizing sounds from audio](/tutorials/end-to-end/sound-recognition).
* [Keyword spotting](/tutorials/end-to-end/keyword-spotting).

Support for Arduino RP2040 Connect was added to the official RP2040 firmware for Edge Impulse. That includes data acquisition and model inference support for:

* onboard MP34DT05 microphone
* onboard ST LSM6DSOX 6-axis IMU
* the sensors described above still can be connected

Looking to connect different sensors? The [Data forwarder](/tools/clis/edge-impulse-cli/data-forwarder) lets you easily send data from any sensor into Edge Impulse.

### Using with other RP2040 boards

While RP2040 is a relatively new microcontroller, it was already utilized to build several boards:

* The official Raspberry Pi Pico RP2040
* Arducam Pico4ML (Camera, screen and microphone)
* Seeed Studio XIAO RP2040 (extremely small footprint)
* Black Adafruit Feather RP2040 (built-in LiPoly charger)

And others. While pre-built Edge Impulse firmware is mainly tested with Pico board, it is compatible with other boards, with the exception of I2C sensors and microphone - different boards use different pins for peripherals, so if you’d like to use LSM6DS3/LSM6DSOX accelerometer & gyroscope modules or microphone, you will need to change pin values in Edge Impulse RP2040 firmware source code, recompile it and upload it to the board.