Interesting Electronics
AI has been a buzzword this entire decade. People have been applying the concepts of AI in all possible fields – Agriculture, Medical Imaging, Autonomous Driving, Biometrics, encryption, Data Analysis, FinTech, and what not. Here is an AI project list. Please add your faves to the list so I can discover more. And don't forget to vote for your faves!
Machine Learning based Tomato Sorting Machine using Raspberry Pi that uses the TensorFlow modules which are trained on Edge Impulse to detect the tomatoes and sort them according to the color.
In this project article we are going to build a Lane Detection Car using Raspberry Pi and OpenCV. Before proceeding with this project, make sure that you have the basic idea of how to use OpenCV using python in Raspberry Pi.
In this tutorial we are going to use Edge Impulse Studio to train a simple signal-based model to identify if a person has a fever or not. We will be using the Arduino Nano 33 IoT as it can be easily integrated with the library exported by edge impulse. For this project, we will integrate the MLX90614 sensor to measure the temperature of a person’s finger and predict if he/she has a fever or not.
In this project, we are going to use the MediaPipe Pose estimation package to build a Raspberry Pi 4 based push up counter. We will be using Pose estimation package to get the coordinates of both the shoulders and elbows.
A Facial Expression Recognition System can be used in a number of applications. It can be used to study or analyze the sentiments of humans. Many companies are implanting a Facial Expression Recognition System to study the depression level of their workers
In this tutorial, we are going to train an image classifier model on Edge Impulse and then deploy it on Raspberry Pi.
In this tutorial, we will learn how we can play Rock, Paper, and Scissors with Raspberry Pi using OpenCV and Tensorflow. This project consists of three phases: Data Gathering, Training the model, and Gesture Detection.
In this tutorial, we are going to use OpenCV and Deep Learning models to accurately identify the gender and age of a person from a real-time video stream. The deep learning age and gender detector model that we are going to use today was implemented and trained by Levi and Hassner in their 2015 publication.
In this tutorial, we will learn how to install TensorFlow on Raspberry Pi and will show some examples with simple image classification on a pre-trained neural network.
