# Machine Learning BrainCraft HAT for Raspberry Pi 4

**Type:** Product page · **SKU:** ADA4374 · **Brand:** [Adafruit](https://core-electronics.com.au/brands/adafruit-australia)
**Page:** https://core-electronics.com.au/machine-learning-braincraft-hat-for-raspberry-pi-4.html ([markdown](https://core-electronics.com.au/machine-learning-braincraft-hat-for-raspberry-pi-4.html.md))

The idea behind the BrainCraft board (stand-alone, and Pi “hat”) is that you’d be able to “craft brains” for Machine Learning on the EDGE, with Microcontrollers & Microcomputers

## Pricing

- **Price:** $78.55 (inc GST) — $71.41 AUD, exc GST
- **Quantity discounts:** 10+ $69.26 (exc GST) · 50+ $67.84 (exc GST)

## Availability & dispatch

- Available with a lead time — expect dispatch between Aug 20 and Aug 24.

## Description

The idea behind the BrainCraft board (stand-alone, and Pi “hat”) is that you’d be able to “craft brains” for Machine Learning on the EDGE, with Microcontrollers & Microcomputers. On ASK AN ENGINEER, Adafruit's founder & engineer chatted with Pete Warden, the technical lead of the mobile, embedded TensorFlow Group on Google’s Brain team about what would be ideal for a board like this.

And here’s a first look! We’ve started to design a BrainCraft HAT for Raspberry Pi and other Linux computers. It has a 240×240 TFT display for inference output, slot for camera connector cable for imaging projects, a 5 way joystick and button for UI input, left and right microphones, stereo headphone, stereo speaker out, three RGB DotStar LEDs, two 3 pin STEMMA connectors on PWM pins so they can drive NeoPixels or servos, and Grove/STEMMA/Qwiic I2C port. This should let people build a wide range of audio/video AI projects while also allowing easy plug-in of sensors and robotics!

Most importantly, there’s an On/Off switch that will disable the audio codec, so that when it's off there’s no way it's listening to you!

***Note:*** This Hat does not come with a fan, if you need cooling for it you will need a [seperate fan](https://core-electronics.com.au/cooling-fan-for-raspberry-pi-2x1-dupont.html).

### Inputs**:**

- Loads of sensors!
- More sensors can be connected via plug-n-play stemmaQT
- Image sensors, like a camera, or ‘image sensors’ like the Panasonic Grid-EYE. Heat-Sensitive cameras can be used as a person detector, even in the dark!
- Microphone, voice detection for powering on/off
- Accelerometer for gestures, vibration sensing. Could be useful for machinery/industrial predictive maintenance.
 
### Outputs**:**

- Screen display for debugging
- Speaker for audio feedback as to what is going on.
- Relay control to turn things on/off, etc. and/or other actuators.
 
### Connectivity**:**

- NB / Narrowband IoT? Wireless flexibility: WiFi, cellular, Bluetooth LE
- Works with adafruit.io, of course!
 
### Power**:**

- Battery powered / low-power.
- Solar add-ons or energy harvesting. Make OK with lots of power sources that are not reliable.
- On/Off switch!

## Images

- [Product image 1](https://core-electronics.com.au/media/catalog/product/4/3/4374-06.jpg)