• Prajkta Khaire
• Sanjana Killedar
• Komal Satpute
• Prakash Mishra

An attendance system that utilizes facial recognition technology and a defaulter list utilizes facial recognition algorithms to identify and record attendance for individuals. When an individual is in front of the camera, the system maintains a database of their images, the system recognizes the face and records attendance accordingly. The system also has defaulter list, which includes the names of individuals employees who are expected to attend but have not done. The attendance records are used to create the defaulter list, which can be used to take the necessary actions, such as sending notifications to the individual person. This paper presents a face recognition system of Haar Cascade algorithm for robust and efficient face detection and recognition. Using computer vision algorithms, the system extracts features from the face, such as eye distance, nose shape, and mouth shape, to recognize the person. The system can be utilized in various situations, such as schools, colleges, and offices, where attendance needs to be recorded on a regular basis. The attendance recording process can be automated by the system, which can save time and effort, and the defaulter list can ensure that everyone is included. Overall, an attendance system using face recognition with a defaulter list can be a useful to managing attendance and ensuring that individuals attend as required. The effectiveness of the proposed system is evaluated on various metrics including accuracy, precision, recall, and processing speed.

Face Recognition, Human Face Detection, Computer Vision, Haar Cascade Algorithm

"FACE RECOGNITION APPLICATION FOR OFFICE ATTENDANCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.1-6, June-2024, Available :http://www.jetir.org/papers/JETIRGH06001.pdf

"FACE RECOGNITION APPLICATION FOR OFFICE ATTENDANCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. pp1-6, June-2024, Available at : http://www.jetir.org/papers/JETIRGH06001.pdf