Adafruit is very well known in the maker and electronics community. For 15 years the New York-based company has provided kits and boards for Arduino, Beaglebone and Raspberry Pi and their latest board is the $39.95 BrainCraft HAT. Designed for use with the Raspberry Pi 4, this HAT is a hub of inputs and outputs, including a screen that shows image recognition, to facilitate machine learning Raspberry Pi projects. If you are keen to try out machine learning projects using TensorFlow Lite then the Raspberry Pi 4 is the ideal machine for taking your first steps. It is cheap to buy, has plenty of power and adaptable to your needs.

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!

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, 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. 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!

Out of the box, in less than 5 minutes, demonstrate and use Machine Learning (video). If you want to skip ahead to the demo-only, click here or scrub to: 4 mins, 50 secs. 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, 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. We've started to design a BrainCraft HAT for Raspberry Pi and other linux computers.