Authors :
S. H. Chaflekar; Chirag Wadlyakar; Ankita Gomkar; Tejas Ikhar; Prajakta Dhore; Prachiti Hole
Volume/Issue :
Volume 8 - 2023, Issue 10 - October
Google Scholar :
https://tinyurl.com/33yjkwua
Scribd :
https://tinyurl.com/3dx7na9t
DOI :
https://doi.org/10.5281/zenodo.10070869
Abstract :
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.
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.
