QR code based Visitor Management System for Smart Offices
Santhosha Rao1, Casbona Jonathan2
1Santhosha Rao*, Department of Information and Communication Technology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India.
2Casbona Jonathan, Department of Embedded Systems and Instrumentation, ESIGELEC School of Engineering, Rouen, France.

Manuscript received on November 12, 2019. | Revised Manuscript received on November 23, 2019. | Manuscript published on 30 November, 2019. | PP: 8787-8791 | Volume-8 Issue-4, November 2019. | Retrieval Number: D9404118419/2019©BEIESP | DOI: 10.35940/ijrte.D9404.118419

Open Access | Ethics and Policies | Cite  | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In recent years, owing to the proliferation of the Internet of Things (IoT), homes and offices are being translated into smart homes and offices. The paper demonstrates an IoT system for managing the visitors in a smart office environment. The automation system comprises Raspberry Pi equipped with camera and an android mobile phone. The Raspberry Pi equipped with camera is kept in the visitor’s waiting area and the consulting person possesses an android mobile phone in which the visitor management software is installed. The visitor takes an appointment using the client application installed in his android mobile phone by selecting an available slot and receives a QR code. The consulting person has the access to information regarding each appointment through professional application installed in his android phone. Whenever the visitor shows the QR code to the Raspberry Pi camera, the professional application is notified and the consulting person is able to access the list of all the visitors in real time. An intelligent token system is used to determine the order of passage when several visitors are there at the office.
Keywords: Android, Internet of Things, OpenCV, QR code, Raspberry Pi .
Scope of the Article: Internet of Things.