IMPLEMENTASI GOOGLE ML KIT UNTUK LIVENESS DETECTION DALAM SISTEM FACE RECOGNITION: ANALISIS KINERJA DAN KEAMANAN PADA APLIKASI MOBILE
Google ML Kit, Liveness Detection, Face Recognition, Mobile Application
Abstract
Penelitian ini mengkaji implementasi Google ML Kit untuk deteksi liveness dalam sistem pengenalan wajah pada aplikasi mobile dengan tujuan untuk meningkatkan keamanan aplikasi dan mencegah ancaman spoofing. Pengenalan wajah telah banyak diterapkan dalam berbagai aplikasi, namun kerentanannya terhadap serangan menggunakan foto atau video statis menimbulkan tantangan besar dalam hal keamanan. Oleh karena itu, deteksi liveness yang mengidentifikasi apakah wajah yang dikenali merupakan wajah hidup menjadi sangat penting. Penelitian ini fokus pada integrasi teknologi liveness detection dalam pengenalan wajah menggunakan Google ML Kit, yang memungkinkan aplikasi mobile untuk mendeteksi gerakan kepala (geleng kanan, kiri) dan kedipan mata sebagai indikator wajah yang hidup. Hasil implementasi menunjukkan bahwa sistem dapat mencapai akurasi tinggi dengan kecepatan pengenalan yang baik, serta mampu mengurangi potensi serangan spoofing. Penelitian ini memberikan kontribusi pada pengembangan aplikasi mobile yang lebih aman dan dapat diandalkan dalam pengenalan wajah, dengan memastikan bahwa sistem tidak hanya mengenali wajah, tetapi juga memastikan bahwa wajah tersebut adalah wajah yang hidup.
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