TY - JOUR AU - Arora, Kawal AU - Bist, Ankur Singh AU - Prakash, Roshan AU - Chaurasia, Saksham PY - 2020/06/05 Y2 - 2024/03/28 TI - A Novel Approach for Facial Attendance:AttendXNet JF - Aptisi Transactions on Technopreneurship (ATT) JA - ATT VL - 2 IS - 2 SE - Articles DO - 10.34306/att.v2i2.86 UR - https://att.aptisi.or.id/index.php/att/article/view/86 SP - 104 - 111 AB - <p>Recent advancements in the area of facial recognition and verification introduced the possibility of facial attendance for various use cases. In this paper we present a system named as AttendXNet. Our method uses the ResNet and Multi-layer feed forward network to achieve the state of art results. Extensive analysis of various deep learning and machine learning techniques is described. Face anti-spoofing is a major challenge in facial attendance. Extended-MobileNet is used to resolve the same issue. We also introduced the end to end pipeline to implement an attendance system for various use cases.</p> ER -