Posted in Machine Learning Tagged accelerometer, arduino, gesture, haptic, MKR1000, mpu6050, street fighter, tensorflow Post navigation ← Pizza Oven Build Exercises Forgotten Gym Ball ...

If you prefer to draw boxes instead of writing code, you may have tried IBM’s Node-RED to create logic with drag-and-drop flows. A recent [TensorFlow] video shows an interview between [Jason … ...

Tarts Sensors allow both developers and hobbyists the ability to develop wireless sensor networks with Arduino, Raspberry Pi and BeagleBone. Contacts Tarts Sensors Matt Moulton, 801-255-9910 press ...

TensorFlow Lite machine learning on Arduino MKR WIFI 1010 Just the other day, I posted a blog on learning about Machine Learning via a Raspberry Pi and commenter Mike Bryant flagged an Arduino route ...

Goal: Control lights and appliances using relays, sensors, and a web interface. Components Needed: Raspberry Pi 4. Arduino Uno. 4-channel relay module. PIR motion sensor. Steps: Use Arduino to handle ...

Technical specifications of the Tokay Lite include an onboard MCU: ESP32-S3, sensor interface: DVP, stock camera sensor: OV2640, image capabilities: 0.3 MP / 2 MP / 3 MP with RGB and JPEG support ...