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Adafruit Adafruit BrainCraft HAT - Machine Learning for Raspberry Pi 4 PCB
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PCB files for the Adafruit BrainCraft HAT - Machine Learning for Raspberry Pi 4.
Format is EagleCAD schematic and board layout
Description
The idea behind the BrainCraft HAT is that you’d be able to “craft brains” for Machine Learning on the EDGE, with Microcontrollers & Microcomputers. On ASK AN ENGINEER, our 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 what we designed! The BrainCraft HAT has a 240×240 TFT IPS display for inference output, slots for camera connector cable for imaging projects, a 5 way joystick and button for UI input, left and right microphones, stereo headphone out, stereo 1 W 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 will let people build a wide range of audio/video AI projects while also allowing easy plug-in of sensors and robotics!
A controllable mini fan attaches to the bottom, and can be used to keep your Pi cool while doing intense AI inference calculations. Most importantly, there’s an On/Off switch that will completely disable the audio codec, so that when it's off there’s no way it's listening to you.
Features:
- 1.54" IPS TFT display with 240x240 resolution that can show text or video
- Stereo speaker ports for audio playback - either text-to-speech, alerts or for creating a voice assistant.
- Stereo headphone out for audio playback through a stereo system, headphones, or powered speakers.
- Stereo microphone input - perfect for making your very own smart home assistants
- Two 3-pin JST STEMMA connectors that can be used to connect more buttons, a relay, or
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