DESIGNING WORK ATTENDANCE SYSTEM USING IOT-BASED FACE RECOGNITION TECHNOLOGY

Rozali, Adi Fauzi (2025) DESIGNING WORK ATTENDANCE SYSTEM USING IOT-BASED FACE RECOGNITION TECHNOLOGY. Tugas Akhir thesis, University of Technology.

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Abstract

ABSTRACT The advancement of Internet of Things (IoT) technology has driven innovation in automating workplace attendance systems. This study presents the design of a face recognition-based attendance system utilizing the ESP32-CAM module for image capture and a Python Flask server for data processing. Facial images captured by the ESP32-CAM are transmitted via Wi-Fi to a local server, where they are analyzed using an open-source face recognition library. Upon successful recognition, attendance data—consisting of name, date, time, and status—is automatically logged into an Attendance.csv file. Test results demonstrate that the system can recognize faces with an average accuracy of 92% under adequate lighting conditions, with response times ranging from 2 to 4 seconds. The system proves to be effective and easily deployable for small to medium-scale implementations. Its strengths lie in simple integration, the use of open-source libraries, and the capability to record attendance in real-time automatically. This solution offers an efficient and cost-effective approach to digitizing work attendance management. Keywords: Automated Attendance, ESP32-CAM, Face Recognition, Python Flask, CSV

Item Type:	Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir)
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Fakultas Sains Dan Teknologi > S1 Teknik Elektro
Depositing User:	Kaprodi Teknik Elektro
Date Deposited:	07 Aug 2025 06:18
Last Modified:	07 Aug 2025 06:18
URI:	http://eprints.uty.ac.id/id/eprint/18399

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