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The incorporation of technology into many aspects of life has become essential in the modern day.One such area is the automation of attendance tracking, which is an essential function in both businesses and educational institutions.This abstract describes a new method for creating a smart attendance system that uses Python programming and an ESP32 microcontroller to implement facial recognition technology .The suggested solution uses facial recognition technology to transform the way that attendance is taken.Utilizing the ESP32 microcontroller, which integrates Bluetooth and Wi-Fi, makes the system adaptable and simple to set up in many settings .The main purpose of the system is to use a camera module interfaced with the ESP32 to take real-time facial image captures of people.Then, using sophisticated machine learning algorithms created especially for facial recognition tasks, these photographs are processed and examined.Python is the main tool used to build these algorithms because it is a programming language that is both versatile and commonly utilized for such applications.Face detection, feature extraction, and identification modules are important parts of the system that work together well in the ESP32 environment.When a recognition is successful, the system logs the person's identity and time of attendance.The system can also have features like user interface for interaction, database administration for maintaining attendance records, and connectivity options for remote control and monitoring.
Siddhi et al. (Thu,) studied this question.