Designing the Machine Learning board on the EDGE... BRAINCRAFT!

The idea behind the upcoming BRAINCRAFT board (stand-alone, and Pi "hat") is that you'd be able to "craft brains" for Machine Learning on the EDGE, with Microcontrollers. 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. What did we come up with? Here is a start! #machinelearning #tensorflow #ai Inputs: Loads of sensors! Can be connected via stemmaQT. Image sensors, like a camera, Panasonic Grid-EYE. Heat-Sensitive camera, person detector. Microphone, voice detection for powering off. Accelerometer, gestures, vibration sensing, predictive maintenance. Outputs: Screen for debugging Speaker for audio feedback as to what is going on. Relay control to turn things on/off, etc. and/or actuator. Connectivity: NB / Narrowband IoT. Wireless flexibility. Works with adafruit.io, of course! Power: Battery powered / low-power. Solar add-ons, energy harvesting, OK with lots of power sources that are not reliable. Adafruit 2019 2300 Are we missing anything? Post up in the comments on what you want in a low-cost machine learning board! brAIncraft! Visit the Adafruit shop online - http://www.adafruit.com ----------------------------------------- LIVE CHAT IS HERE! http://adafru.it/discord Adafruit on Instagram: https://www.instagram.com/adafruit Subscribe to Adafruit on YouTube: http://adafru.it/subscribe Join our weekly Show & Tell on G+ Hangouts On Air: http://adafru.it/showtell New tutorials on the Adafruit Learning System: http://learn.adafruit.com/ -----------------------------------------