Aptisi Transactions on Technopreneurship (ATT)
Vol 2 No 2 (2020): September

A Novel Approach for Facial Attendance:AttendXNet

Kawal Arora (Signy Advanced Technologies)
Ankur Singh Bist (Signy Advanced Technologies)
Roshan Prakash (Signy Advanced Technologies)
Saksham Chaurasia (Signy Advanced Technologies)

Article Info

Publish Date
05 Jun 2020

Abstract

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.

Copyrights © 2020




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Journal Info
Aptisi Transactions on Technopreneurship (ATT)
Website

Abbrev

att

Publisher

Asosiasi Perguruan Tinggi Swasta Indonesia

Subject

Humanities Computer Science & IT Economics, Econometrics & Finance Education Social Sciences

Description

APTISI Transactions on Technopreneurship (ATT) is an international triannual open access scientific journal published by  Pandawan Sejahtera Indonesia. ATT publishes original scientific researchers from scholars and experts around the world with novelty based on the theoretical, experimental, ...