Open AccessFingerprint,Face and Voice Recognition Based Attendance Monitoring System
Author(s) -
Aafreen Danish,
Khushali Hedau,
Diksha Ukey,
Anisha Walde,
Uzma Sohail Sheikh,
Prof.Akbar Nagani
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.41346
Subject(s) - attendance , fingerprint (computing) , biometrics , computer science , feature (linguistics) , class (philosophy) , face (sociological concept) , task (project management) , facial recognition system , intervention (counseling) , artificial intelligence , speech recognition , pattern recognition (psychology) , psychology , engineering , linguistics , philosophy , systems engineering , psychiatry , economics , economic growth
In This project aims to record the attendance without manual intervention. In the area of technology that changes and modifies daily, use biometrics is the most popular and trending technology. Taking attendance manually for a class of almost 60-80 students can be a time-consuming task if thought of it in a long run Each person has a unique biometric feature such as fingerprint, face structure, voice detection etc. Keywords— Boimetrics, Fringerprint, Face Structure,Voice Detection.