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Paper Title
Visitor Management System using Convolutional Neural Network
  Vaibhavi Prasad Prabhulkar,  Neha Deelipkumar Adulkar,  Shraddha Chandrakant Gurav,  Bhanu Tekwani

In this era of the 21st century, the Visitor Management System is very important in almost all the organizations. Visitor management is principal for any organization because it helps to keep a system of record for the visitor. The organization should have the right system to know who’s in the facilities, when did they come there and the purpose behind their arrival. However, the information of visitors is recorded manually by either the visitor or the guard using the conventional paper log or guest book when the visitor arrives at the guard house and this physical process takes an enormous time and involves tedious works. Another problem is the increasing number of visitors indicates the security issues which take place mainly because the operators lack time to verify the identification of each visitor at the entry. In this paper, the solution is proposed which aims to provide an automated system by replacing the existing manual way with a computerized system. The solution makes use of the facial features of the visitors.

Keywords- Deep Learning, Visitor Management System (VMS), Visitors, Face Recognition, Convolutional Neural Network (CNN), Encoding, Feature Extraction, DLib Algorithm
Publication Details
Unique Identification Number - IJEDR2004035
Page Number(s) - 211-221
Pubished in - Volume 8 | Issue 4 | December 2020
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Vaibhavi Prasad Prabhulkar,  Neha Deelipkumar Adulkar,  Shraddha Chandrakant Gurav,  Bhanu Tekwani,   "Visitor Management System using Convolutional Neural Network", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.8, Issue 4, pp.211-221, December 2020, Available at :http://www.ijedr.org/papers/IJEDR2004035.pdf
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