{"product_id":"adafruit-braincraft-hat-machine-learning-for-raspberry-pi-4","title":"Adafruit BrainCraft HAT - Machine Learning for Raspberry Pi 4","description":"\u003cp\u003eThe idea behind the BrainCraft HAT is that you’d be able to “craft brains” for Machine Learning on the EDGE, with Microcontrollers \u0026amp; Microcomputers.\u003c\/p\u003e\n\u003cp\u003eOn ASK AN ENGINEER, Adafruits founder \u0026amp; 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.\u003c\/p\u003e\n\u003cp\u003eAnd here’s what they 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, 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\/\u003ca href=\"\/en-eu\/collections\/stemma-qt\" target=\"_blank\"\u003eSTEMMA\u003c\/a\u003e\/\u003ca href=\"\/en-eu\/collections\/qwiic\" target=\"_blank\"\u003eQwiic\u003c\/a\u003e 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!\u003c\/p\u003e\n\u003cp\u003eA controllable mini fan attaches to the bottom and can be used to keep your Pi cool while doing intense AI inference calculations. \u003cstrong\u003eMost 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.\u003c\/strong\u003e\u003c\/p\u003e\n\u003ch2\u003eFeatures:\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e1.54\" IPS TFT display\u003c\/strong\u003e with 240x240 resolution that can show text or video\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eStereo speaker ports for audio playback\u003c\/strong\u003e - either text-to-speech, alerts or for creating a voice assistant.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eStereo headphone out\u003c\/strong\u003e for audio playback through a stereo system, headphones, or powered speakers.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eStereo microphone input\u003c\/strong\u003e - perfect for making your very own smart home assistants\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTwo 3-pin JST STEMMA connectors\u003c\/strong\u003e that can be used to connect more buttons, a relay, or even some NeoPixels!\u003c\/li\u003e\n\u003cli\u003e\n\u003ca href=\"https:\/\/learn.adafruit.com\/introducing-adafruit-stemma-qt\" target=\"_blank\"\u003e\u003cstrong\u003eSTEMMA QT plug-and-play I2C port\u003c\/strong\u003e\u003c\/a\u003e, can be used with any of the \u003ca href=\"\/en-eu\/collections\/stemma-qt\" target=\"_blank\"\u003e50+ I2C STEMMA QT boards\u003c\/a\u003e, or can be used to connect to Grove I2C devices with an adapter cable.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e5-Way Joystick + Button\u003c\/strong\u003e for user interface and control.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eThree RGB DotStar LEDs\u003c\/strong\u003e for colorful LED feedback.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eThe STEMMA QT port means you can attach heat image sensors like the Panasonic Grid-EYE or MLX90640. Heat-Sensitive cameras can be used as a person detector, even in the dark! An external accelerometer can be attached for gesture or vibration sensing such as machinery\/industrial predictive maintenance projects\u003c\/p\u003e","brand":"Adafruit","offers":[{"title":"Default Title","offer_id":32310055469139,"sku":"ADA4374","price":43.95,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0174\/1800\/products\/4374-06.jpg?v=1745607554","url":"https:\/\/shop.pimoroni.com\/en-eu\/products\/adafruit-braincraft-hat-machine-learning-for-raspberry-pi-4","provider":"Pimoroni Ltd","version":"1.0","type":"link"}