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All Journal Jurnal Pendidikan Vokasional Teknik Elektronika (JVoTE)
Listia Setiawati
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Control & Systems Engineering Electrical & Electronics Engineering Other

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RANCANG BANGUN PROTOTYPE FACE RECOGNITION BERBASIS YOLO11 DENGAN MENGGUNAKAN RASPBERRY PI Listia Setiawati; Syam, Rafiuddin; Diamah, Aodah
JURNAL PENDIDIKAN VOKASIONAL TEKNIK ELEKTRONIKA (JVoTE) Vol. 8 No. 1 (2025): Vol 8 No 1 (2025): JURNAL PENDIDIKAN VOKASIONAL TEKNIK ELEKTRONIKA (JVoTE) Volu
Publisher : PENDIDIKAN VOKASIONAL TEKNIK ELEKTRONIKA FAKULTAS TEKNIK UNIVERSITAS NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jvote.v8i1.59324

Abstract

This research aims to design a face recognition prototype based on YOLO11 using a Raspberry Pi. The prototype design employs a Raspberry Pi 4B, with input from the Raspberry Pi Camera Module 2 and output in the form of audio that provides identification results based on face recognition. In this study, a face dataset consisting of 250 photos with 10 classes or labels was used, meaning that the prototype can recognize faces from 10 individuals. The dataset was divided into 80% (200) face images for training, 8% (20) for testing, and 12% (30) for validation. Based on the testing results of 10 moving videos, the prototype achieved an accuracy of 95%, precision of 100%, recall of 89.6%, and an F1-Score of 94%. Nevertheless, the identification performance is sensitive to backlight conditions, motion blur, and extreme head poses, which can reduce detection accuracy. The Task Success Rate testing for measuring speaker performance reached 100%, indicatin
Co-Authors Diamah, Aodah Rafiuddin Syam