Smart Facial Recognition Attendance System Using ESP32 Cam

Authors : S. H. Chaflekar; Chirag Wadlyakar; Ankita Gomkar; Tejas Ikhar; Prajakta Dhore; Prachiti Hole

Volume/Issue : Volume 8 - 2023, Issue 10 - October

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The human face holds significant importance as it is a unique identifier for each individual. Facial characteristics are used in face recognition systems. Keeping track of attendance poses a considerable challenge in educational institutions. Face recognition is a method that checks if a person's face in an image matches any faces stored in a database. The main aim of this project is to create an intelligent attendance system using an ESP32 Cam for students in an educational institution. The goal is to enhance the current attendance system's efficiency and effectiveness. To achieve this, we utilize the ESP32 Cam module for face detection and the OpenCV library for face recognition. This system is designed to manage attendance using face recognition techniques, marking a person's presence based on their face. Furthermore, the system not only detects individuals but also records their information in an Excel file.

Keywords : ESP32 CAM, Face Recognition, Face Detection, OpenCV, FTDI Module, Jumper Wire.


Paper Submission Last Date
31 - December - 2023

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In 1-2 Days

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