Title: Facial attendance system technology using Microsoft Cognitive Services

Authors: J. Albert Mayan; S. Karthikeyan; Nikhil Chandak; Bharat Mundhra; J. Padmavathy

Addresses: School of Computing, Sathyabama Institute of Science and Technology, Chennai, India ' School of Electronics, Sathyabama Institute of Science and Technology, Chennai, India ' Department of CSE, Sathyabama Institute of Science and Technology, Chennai, India ' Department of CSE, Sathyabama Institute of Science and Technology, Chennai, India ' Department of CSE, Sathyabama Institute of Science and Technology, Chennai, India

Abstract: Artificial intelligence is a necessity in the current times as it makes processes more economical and affordable in the long run. It also frees humans from performing banal tasks day in and day out. Once a process is automated the only check that is to be performed is whether it is turned on or not. Artificial intelligence is an automated process which is not prone to errors and even if an error is identified rectification is easy and can be applied system-wide without any delay. Taking attendance is a mundane but necessary task in many academic institutions. In this paper, an alternate and more efficient method of taking attendance is proposed that uses face recognition and IoT technology with the help of cognitive services. Facial attendance system technology is a combination of front end technology like angular, IoT device like Raspberry Pi and its peripherals, back end technology with Node.js framework, cloud technology like Firebase and Microsoft Cognitive Services. The main objective of using Microsoft Cognitive Services is for accuracy and fast development of the system. The process from face detection to face recognition is done in minimal span of time with the help of cognitive services.

Keywords: facial recognition; Raspberry Pi; Angular Framework; Microsoft Cognitive Services; artificial intelligence; Node.js; Firebase.

DOI: 10.1504/IJESMS.2021.115526

International Journal of Engineering Systems Modelling and Simulation, 2021 Vol.12 No.2/3, pp.180 - 187

Received: 08 Apr 2020
Accepted: 08 Sep 2020
Published online: 07 Jun 2021 *

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