ARCHIVES

Everything in the world we live in these days is mechanized and connected online. Machine learning, image processing, and the internet of things are all constantly developing. As a result of this evolution, several systems have undergone total modifications to produce more accurate findings. A common illustration of this shift is the attendance system, which went from the conventional signature on a paper sheet to facial recognition. This project suggests a technique for creating a thorough embedded system for tracking class attendance that uses facial recognition and indicates whether or not the face belongs to a student in that particular class. The system's foundation is a machine learning algorithm that will be built in Python and uses a laptop or computer camera to capture student images for input.