• Prabhu.T
• Dharanidharan.M
• Ganapathy mani kathir.V
• Gokul.K
• Narendharan.G

Attendance for the students is an important task in class. When done manually it generally wastes a lot of productive time of the class. This proposed solution for the current problem is through automation of attendance system using face recognition. Face is the primary identification for any human. This project describes the method of detecting and recognizing the face in real-time using Raspberry Pi. This project describes an efficient algorithm using open-source image processing framework known as OpenCV. Our approach has five modules Face Detection, Face Preprocessing, Face Training, Face Recognition and Attendance Database. The face database is collected to recognize the faces of the students. The system is initially trained with the student`s faces which is collectively known as student database. Raspberry Pi usage helps in minimizing the cost of the product and the usability as it can be connected to any device to take the attendance. This project uses modified algorithm of Haar feature for face detection and uses Local binary pattern histograms for face recognition.

Face detection, Face identity, Attendance.

"Attendance using Face detection and Raspberry Pi", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.h269-h274, April-2022, Available :http://www.jetir.org/papers/JETIR2204730.pdf

"Attendance using Face detection and Raspberry Pi", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. pph269-h274, April-2022, Available at : http://www.jetir.org/papers/JETIR2204730.pdf