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  • 标题:Entry Verification at Vip Meetings Using Ai Techniques
  • 本地全文:下载
  • 作者:Archana Jadhav ; Sonakshi Agrawal ; Devika Nambiar
  • 期刊名称:International Journal of Advances in Engineering and Management
  • 电子版ISSN:2395-5252
  • 出版年度:2022
  • 卷号:4
  • 期号:4
  • 页码:1455-1459
  • DOI:10.35629/5252-040411951199
  • 语种:English
  • 出版社:IJAEM JOURNAL
  • 摘要:This paper proposes a four step authentication process at VIP meetings entrance to allow only authorized personals to enter.This is implemented by using face recognition with liveness detection followed by audio verification and OTP generation. Face recognition is a very powerful method to identify an individual using their facial features which we have implemented using HaarCascade algorithm. Our model solves the issue of face spoofing i.e. it do not get tricked by photos of individuals during face detection as it also works on liveliness detection using CNN algorithm. Audio verification further helps to enhance the security by making sure the right code word is said by the user at the verification time. OTP generation and verification is the final step in the security model.
  • 关键词:face recognition;liveness;Face SpoofingVIP;Haar-Cascade algorithm;audio verification;OTP
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