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All Journal E-Dimas: Jurnal Pengabdian kepada Masyarakat Jurnal Ilmiah FIFO JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Sisfokom (Sistem Informasi dan Komputer) Petir Ensiklopedia of Journal Journal of Applied Engineering and Technological Science (JAETS) Jurnal Pasopati : Pengabdian Masyarakat dan Inovasi Pengembangan Teknologi
Bagus Priambodo
Universitas Mercu Buana
Aerospace Engineering Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Social Sciences

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Journal : Petir

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DETEKSI MATA REAL TIME MENGGUNAKAN OPENCV UNTUK ANDROID Yustika Erliani; Bagus Priambodo
PETIR Vol 8 No 1 (2015): PETIR (Jurnal Pengkajian Dan Penerapan Teknik Informatika)
Publisher : Sekolah Tinggi Teknik - PLN

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Abstract

Right now there has been a lot of developing applications that use the face detection feature. Facedetection itself can be done in various ways, one using the Viola-Jones method, a method thatcombines support vector machines, boosting algorithm, and a cascade classifie. In this researchdesigned an eye detection system by using a Viola-Jones method with OpenCV library. Data fromthis research are in the form of a live video capture using camera smartphone with android os
Co-Authors Aditya Alif Azlina Ahmad Delaila Rosa Wardiman Dewi Sri Utami Gushelmi Hana Prasetiyo Diennida Ika Nur Suciati Ilham Rahmaditia Arlingga Jumaryadi, Yuwan Misbahul Fajri Nazmi Aulia Rabiah Abdul Kadir Riri Fajriah Ruci Meiyanti Salamah, Umniy Samidi Samidi Yustika Erliani