- Home
- Archives
- 2025
- Vol. 2 Issue 2
- Article
Smart Attendance System Using Esp32-Cam
Authors
1 Assistant Professor, Department of ECE, Dr. Lankapalli Bullayya College of Engineering, Visakhapatnam, Andhra Pradesh, India. 2 3 4 5 Department of ECE, Dr. Lankapalli Bullayya College of Engineering, Visakhapatnam, Andhra Pradesh, India.
Article Information
- Published In
- Year 2025 · Volume 2 · Issue 2
- Published Online
- May-August 2025
- Pages
- 01-03
- Article Type
- Original Article
- Check for updates
-
References
1. M. Sireesha, “Automatic Attendance Management System Using Face Recognition” International Journal of Research Publication and
Reviews, 2022.
2. Dr. V. Suresh, “Facial Recognition Attendance System Using Python and Open CV” Journal of Software Engineering and Simulation 2020.
3. Sneha Medhavath, “Face Recognition Based Attendance System Using ESP32 Cam” International journal of Engineering Applied Sciences
and Technology 2020.
4. F. Year Student and A. Professor, “Student Attendance Marking Using Face Recognition in Internet of Things,” International Journal of
Computer Science Trends and Technology (IJCST), vol. 5, 2013,
5. V. Gupta, A. Kumar, A. Jawed, and A. Basu, “student attendance system based on the face recognition of webcam’s image of the classroom,”
2015.
Reviews, 2022.
2. Dr. V. Suresh, “Facial Recognition Attendance System Using Python and Open CV” Journal of Software Engineering and Simulation 2020.
3. Sneha Medhavath, “Face Recognition Based Attendance System Using ESP32 Cam” International journal of Engineering Applied Sciences
and Technology 2020.
4. F. Year Student and A. Professor, “Student Attendance Marking Using Face Recognition in Internet of Things,” International Journal of
Computer Science Trends and Technology (IJCST), vol. 5, 2013,
5. V. Gupta, A. Kumar, A. Jawed, and A. Basu, “student attendance system based on the face recognition of webcam’s image of the classroom,”
2015.
Related Articles in this Issue
Share Article
*Instagram doesn't support direct link sharing from web. Copy the link and share it in your Instagram story or post.