Deteksi Wajah dalam Foto Menggunakan Teknologi Visi Komputer

Supiyandi Supiyandi; Tegar Ardiansyah; Sri Putri Balqis; Jundi Haqqoni; Salsa Nabila Iskandar

doi:10.61132/mars.v2i6.490

Authors

Supiyandi Supiyandi Universitas Pembangunan Panca Budi
Tegar Ardiansyah Universitas Islam Negeri Sumatera Utara
Sri Putri Balqis Universitas Islam Negeri Sumatera Utara
Jundi Haqqoni Universitas Islam Negeri Sumatera Utara
Salsa Nabila Iskandar Universitas Islam Negeri Sumatera Utara

DOI:

https://doi.org/10.61132/mars.v2i6.490

Keywords:

face detection, Viola-Jones, CNN, OpenCV

Abstract

This study discusses the implementation of computer vision technology for face detection in photos using two sample images with variations in lighting and face pose. The developed system combines the Viola-Jones algorithm and Convolutional Neural Networks (CNN) to enhance resilience against lighting and face orientation variations. Experimental results show high accuracy even with only two sample images. This research also develops preprocessing techniques to handle extreme lighting conditions and demonstrates efficient implementation using Python and OpenCV.

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