Automatic Attendance System Using Face Recognition

Utkarsh Rajesh Ughade; Shital Maruti Gikwad; Atharva Nitin Yeole; Dr. A. O. Mulani

doi:10.55529/jipirs.34.11.18

Automatic Attendance System Using Face Recognition

https://doi.org/10.55529/jipirs.34.11.18

Authors

Utkarsh Rajesh Ughade Department of Electronics and Telecommunication, SKN SCOE Korti, Pandharpur, India.
Shital Maruti Gikwad Department of Electronics and Telecommunication, SKN SCOE Korti, Pandharpur, India.
Atharva Nitin Yeole Department of Electronics and Telecommunication, SKN SCOE Korti, Pandharpur, India.
Dr. A. O. Mulani Department of Electronics and Telecommunication, SKN SCOE Korti, Pandharpur, India.

Keywords:

Face Recognition, Internet of Things (IOT), Automatic Attendance System, Technology.

Abstract

The project aims to develop an automated attendance system using face recognition technology. The system eliminates manual methods and provides contactless attendance tracking. It utilizes a Raspberry Pi board, camera module, and advanced image processing techniques to detect and recognize faces in real-time. Attendance data is stored in a database which is excel sheet and can be accessed remotely. The system improves efficiency, reduces errors, and promotes hygiene and safety in various environments.

Published

2023-07-13

How to Cite

Utkarsh Rajesh Ughade, Shital Maruti Gikwad, Atharva Nitin Yeole, & Dr. A. O. Mulani. (2023). Automatic Attendance System Using Face Recognition. Journal of Image Processing and Intelligent Remote Sensing, 3(04), 11–18. https://doi.org/10.55529/jipirs.34.11.18