Perancangan Sistem Pengenalan Wajah untuk Keamanan Ruangan Menggunakan Metode Local Binary Pattern Histogram
DOI:
https://doi.org/10.22441/jte.2022.v13i2.010Keywords:
Haar-cascade, LBPH, Keamanan, Raspberry, TelegramAbstract
Saat ini telah banyak dikembangkan sistem pengamanan akses masuk ke ruangan dengan verifikasi identitas menggunakan kunci, kartu, dan sebagainya. Namun keterbatasan manusia dalam mengingat benda sehingga kadang terdapat kejadian tertinggal atau terlupa kombinasi angka atau password yang mengakibatkan tidak dapat untuk mengakses ruangan. Teknik verifikasi wajah diperlukan untuk mengakses ruangan dengan teknologi biometrik yang handal dan efisien tanpa harus mengingat objek seperti kunci, kartu, kata sandi, atau pin. Oleh karena itu tujuan penelitian adalah membuat rancang bangun sistem keamanan akses ruangan menggunakan face recognition menggunakan metode LBPH berbasis Raspberry Pi. Sistem yang dikembangkan terdiri dari dua bagian, yaitu alat yang dipasang pada Raspberry Pi utama yang menjadi otak kamera dan aplikasi Telegram pada smartphone. Kamera dapat mengenali wajah pengguna dan beberapa orang yang dapat mengakses ruangan. Jika kamera tidak mengenali wajah orang yang terdeteksi maka kamera akan mengambil gambar dan mengirimkannya ke pemilik rumah melalui Telegram sebagai notifikasi untuk tindakan lebih lanjut terhadap kedatangan orang yang tidak dikenal.Downloads
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