ESP IDF programming for IoT: a blueprint for facial recognition in attendance systems in IIUM

Zainuddin, Ahmad Anwar and Mustapa, Nurul Salshabila and Mohd Nor, Rizal and Amir Hussin, Amir 'Aatieff and Nik Mohd Kamal, Nik Nor Muhammad Saifudin and Md Saifuddin, Muhammad Hafiz Faruqi and Abdul Halim, Ahmad Adlan and Ahmad Faizul, Nur Adila and Ruzaidi, Nuramiratul Aisyah and Mohd Razali, Muhammad Irfan Zaki and Fazail, Muhammad Nazmi (2024) ESP IDF programming for IoT: a blueprint for facial recognition in attendance systems in IIUM. In: Final Year Project Competition and Exhibition (I-CPEX 2023). Universiti Kuala Lumpur Publishing, Kuala Lumpur, Malaysia, pp. 315-318.

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Abstract

An attendance system based on facial recognition that uses several microcontrollers and microprocessors is studied in this work. The present study introduces the proposed model and afterward discusses the results obtained from different tests conducted utilising a range of microcontrollers. The ESP32-S3 microcontroller is programmed via the Espressif IoT Development Framework (ESP IDF) in order to generate full instructions for the Internet of Things (IoT) device. The incorporation of specific components, such as Pseudostatic Random Access Memory (PSRAM), a camera interface peripheral, and USB peripherals, facilitates efficient connectivity with a camera. The present study highlights the constraints associated with the utilisation of Raspberry Pi 3B, encompassing the issue of device sluggishness and the requirement for USB cameras with lower resolutions to expedite processing. This paper offers valuable insights into the examination and implementation of contemporary advancements and investigations in the field of face and object recognition system development. From this study, approximately 126 students actively participated in the demonstration. The analysis of the results indicates a noteworthy 70% accuracy rate among the participants.

Item Type:	Book Chapter
Additional Information:	10738/118667
Uncontrolled Keywords:	ESP32, Face Recognition Attendance System, Raspberry Pi 3B+, USB Camera, ESP IDF
Subjects:	T Technology > T Technology (General) > T11.95 Industrial directories
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Engineering Kulliyyah of Engineering > Department of Electrical and Computer Engineering Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology
Depositing User:	Ts.Dr. Ahmad Anwar Zainuddin
Date Deposited:	24 Jan 2025 17:06
Last Modified:	06 Feb 2025 15:41
URI:	http://irep.iium.edu.my/id/eprint/118667

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