Machine Learning Monday! BrainCraft HAT for Raspberry Pi and single board Linux computers @adafruit @raspberry_pi @tensorflow #machinelearning #tinyML #raspberrypi
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!
Adafruit publishes a wide range of writing and video content, including interviews and reporting on the maker market and the wider technology world. Our standards page is intended as a guide to best practices that Adafruit uses, as well as an outline of the ethical standards Adafruit aspires to. While Adafruit is not an independent journalistic institution, Adafruit strives to be a fair, informative, and positive voice within the community – check it out here: adafruit.com/editorialstandards
Stop breadboarding and soldering – start making immediately! Adafruit’s Circuit Playground is jam-packed with LEDs, sensors, buttons, alligator clip pads and more. Build projects with Circuit Playground in a few minutes with the drag-and-drop MakeCode programming site, learn computer science using the CS Discoveries class on code.org, jump into CircuitPython to learn Python and hardware together, TinyGO, or even use the Arduino IDE. Circuit Playground Express is the newest and best Circuit Playground board, with support for CircuitPython, MakeCode, and Arduino. It has a powerful processor, 10 NeoPixels, mini speaker, InfraRed receive and transmit, two buttons, a switch, 14 alligator clip pads, and lots of sensors: capacitive touch, IR proximity, temperature, light, motion and sound. A whole wide world of electronics and coding is waiting for you, and it fits in the palm of your hand.
Have an amazing project to share? The Electronics Show and Tell is every Wednesday at 7:30pm ET! To join, head over to YouTube and check out the show’s live chat and our Discord!
Python for Microcontrollers – Adafruit Daily — Select Python on Microcontrollers Newsletter: PyCon AU 2024 Talks, New Raspberry Pi Gear Available and More! #CircuitPython #Python #micropython @ThePSF @Raspberry_Pi
EYE on NPI – Adafruit Daily — EYE on NPI Maxim’s Himalaya uSLIC Step-Down Power Module #EyeOnNPI @maximintegrated @digikey
Comments Off on Machine Learning Monday! BrainCraft HAT for Raspberry Pi and single board Linux computers @adafruit @raspberry_pi @tensorflow #machinelearning #tinyML #raspberrypi