SISTEM PRESENSI DETEKSI WAJAH REAL-TIME MENGGUNAKAN ALGORITMA YOLOV5 DENGAN ESP32-CAM BERBASIS WEBSITE

PRATAMA, M. RENALDI NUGRAHA and Windisari, Desi and Sari, Melia (2025) SISTEM PRESENSI DETEKSI WAJAH REAL-TIME MENGGUNAKAN ALGORITMA YOLOV5 DENGAN ESP32-CAM BERBASIS WEBSITE. Undergraduate thesis, Sriwijaya University.

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Abstract

This research aims to design and implement a Real-Time Face Detection Attendance System using the YOLO V5 algorithm integrated with an ESP32-CAM and a web-based platform. The system utilizes the real-time face detection capabilities of the YOLO V5 algorithm to capture and identify objects. The ESP32-CAM serves as the primary device for capturing user facial images, which are then processed by the YOLO V5 algorithm to recognize faces based on a pre-trained dataset model. Attendance data is automatically recorded and managed through a web interface, providing easy access and efficient data management for administrators. Testing was conducted to evaluate face detection accuracy, processing time, and overall system performance under various lighting conditions. The results show a detection accuracy of 90,65%, with an average precision of 68%, recall of 87.1%, and an F1-score of 75.5%, based on the confusion matrix. Furthermore, integration with the website facilitates centralized and efficient attendance data management. This system is expected to be an effective solution for attendance needs in various institutions, especially those prioritizing security and efficiency.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	ESP32-CAM, YOLOv5, Deteksi Wajah, Presensi Otomatis, Real-time, Deep Learning, Computer Vision
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics
Divisions:	03-Faculty of Engineering > 20201-Electrical Engineering (S1)
Depositing User:	M. Renaldi Nugraha Pratama
Date Deposited:	20 May 2025 03:56
Last Modified:	20 May 2025 03:56
URI:	http://repository.unsri.ac.id/id/eprint/173352

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