Out of the box, in less than 5 minutes, demonstrate and use Machine Learning (video). Recognizes about 1,000 objects as well as speaking its name. 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.
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 its off there’s no way its listening to you!
- First Look at the BrainCraft HAT for Raspberry Pi and single board Linux computers.
- Designing the Machine Learning board on the EDGE… BRAINCRAFT!
- MACHINE LEARNING MONDAY! Designing the Machine Learning board on the EDGE… BRAINCRAFT.
- MACHINE LEARNING MONDAY! TinyML comes to Circuit Playground Bluefruit.
- Building Brains on the Edge: Running TensorFlow Lite models on microcontrollers by Alasdair Allan.