Title: Artificial intelligence-based conference automation system involving image recognition

Authors: Resmi R. Nair; R. Krishnapriya; R. Prineetha

Addresses: Department of Electronics and Communication, Easwari Engineering College, Ramapuram, Chennai, 600089, Tamil Nadu, India ' Department of Electronics and Communication, Easwari Engineering College, Ramapuram, Chennai, 600089, Tamil Nadu, India ' Department of Electronics and Communication, Easwari Engineering College, Ramapuram, Chennai, 600089, Tamil Nadu, India

Abstract: Conference hall automation system is very useful in the modern world primarily to reduce manpower required for monitoring the conference. From the security point of view, the entry of only the authorised persons to the conference hall is of prime importance. Therefore, artificial intelligence-based image recognition plays a vital role in the proposed automation system. Face is the essential part of the human physique that uniquely identifies a person. Utilising the face traits as biometric, the face recognition-based participants' entry to the conference hall is implemented. Attendance database will be automatically updated whenever the participants enter and leave the conference hall. An attendance confirmation message will be sent to the participants registered e-mail ID once the participant enters the conference hall. The proposed conference hall automation system is superior to the conventional conference hall system in terms of man power requirement, automation, energy efficiency and security.

Keywords: image processing; Python OpenCV; automation; artificial intelligence; Raspberry Pi.

DOI: 10.1504/IJESMS.2024.135116

International Journal of Engineering Systems Modelling and Simulation, 2024 Vol.15 No.1, pp.47 - 51

Received: 05 Aug 2021
Accepted: 28 Jan 2022
Published online: 01 Dec 2023 *