explainable AI comparing human intelligence with artificial intelligence Circuit Diagram Here are a few exciting AI projects with Arduino that explore different aspects of AI, from machine learning to robotics and natural language processing: 1. AI-Powered Object Detection Project Overview: You can integrate an AI model to detect and classify objects using a camera module and Arduino. By using a pre-traine
HuskyLens is an easy-to-use AI machine vision sensor with 6 built-in functions: face recognition, object tracking, object recognition, line-following, color detection, and tag detection. It is a pretty neat module that comes with a camera on the front side and an LCD display on the backside and 3 LEDs(2 white and 1 RGB) onboard which can be
Enabled Arduino Projects: Exploring Machine Learning Circuit Diagram
1 /* If you want to use NEAI functions please, include NEAI library 2 * in your Arduino libraries then, uncomment NEAI parts in the following code 3 */ 4 5 /* Libraries part */ 6 # include
EloquentTinyML, my library to easily run Tensorflow Lite neural networks on Arduino microcontrollers, is gaining some popularity so I think it's time for a good tutorial on the topic.. If you're a seasoned follower of my blog, you may know that I don't really like Tensorflow on microcontrollers, because it is often "over-sized" for the project at hand and there are leaner, faster alternatives.
AI Projects with Arduino Circuit Diagram
How To Run The Examples Using the Arduino IDE. Alternatively you can use try the same inference examples using Arduino IDE application. First, follow the instructions in the next section Setting up the Arduino IDE. In the Arduino IDE, you will see the examples available via the File > Examples > Arduino_TensorFlowLite menu in the ArduinoIDE.
