S
- Machine Learning
- Python
Study and Analysis of Implementing a Smart Attendance Management System Based on Face Recognition Technique using OpenCV. We can make our Attendance Management System (AMS) intelligent by using a face-to-face recognition strategy. For that, we have to fix a CCTV camera in the classroom at any point, which makes a person’s picture at a fixed time and tests a face-to-face image. Traditionally, student attendance at the institutes is manually reported on the attendance sheets. It’s not a productive operation, because it takes 5 or more minutes for attendance. Normally, the length of our class is 50 minutes, and every day we have more than 5 lessons. So, both courses take more than 50 minutes, which is almost the same as our class time. To solve this big issue we are proposing a novel automatic technique namely “Face Detection with OpenCV”.
- Attendance Management System
- Face Detection
- OpenCV
S
- PHP
Our web-based attendance management system streamlines attendance tracking for staff and students, eliminating errors and saving time. It generates accurate reports, aiding in exam eligibility and performance monitoring
Module Description
Admin
The admin is responsible for system management and structure creation. They log in to access admin functionalities, add student and staff details, department and class information, search and manage users, and view student marks and attendance reports, also providing user credentials.
Staff
Staff members can access the application through admin-provided credentials. They have exclusive rights to add/update student marks and attendance for their assigned subjects. Additionally, they can access reports generated from their entries, providing insights into student performance and attendance.
Student
Students can conveniently access our platform by logging in with admin-provided credentials. They can effortlessly check their performance and attendance reports, ensuring a seamless educational experience.
- Attendance Management System
- Staff Attendance
- Student Attendance Tracking
