Ghosty and Skully can follow your face and they know when you are smiling to laugh with you!
Project tutorial by KDPA
iRobbie is the revolutionary app that brings smartphone power to your Arduino project.
Using the TensorFlow Lite library, we can flash tiny machine learning models on an Arduino to detect humans from a camera.
Project in progress by little_lookout
How alert and happy Cecile (with Alzheimer's) became when she heard familiar songs! Lift the book, turn the page--the book does the rest.
Project tutorial by Mike Rigsby
Thank you for your interest to our app. You can try another example of using the app with a different sketch here: https://create.arduino.cc/projecthub/KDPA/face-tracking-and-smile-detecting-halloween-robots-79cd5f?ref=platform&ref_id=424_trending___&offset=7
You can also see all of the data that is going to the Arduino through the serial monitor in the arduino IDE. Basically, the app is sending four digits at a time: the X and Y coordinates following after x and y letters accordingly, the direction, and the fourth number depends on the application. For example, in iFinder, this fourth digit will be 1 if the object is detected, and otherwise, it will be 0. In Face Tracking, the fourth digit indicates whether you are smiling or not.
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