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

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2507002844	T173352	T1733522025	Central Library (Reference)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1733522025

Publisher

: Prodi Teknik Elektro, Fakultas Teknik Universitas Sriwijaya ;., 2025

Collation

xv, 157 hlm.; ill.; tab.; 29 cm.

Language

Indonesia

ISBN/ISSN

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Classification

621.310 7

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Teknik elektro

Specific Detail Info

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Statement of Responsibility

EM

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