DETEKSI KEDIPAN MATA PADA VIDEO MENGGUNAKAN OPEN CV

Compiler

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Field Value
 
Title DETEKSI KEDIPAN MATA PADA VIDEO MENGGUNAKAN OPEN CV
 
Creator Sajati, Haruno
Kusumaningrum, Anggraini
Utomo, Bagus Budi
 
Subject
Blind Detection On Video , Haar Cascade Classifier, OpenCV
 
Description In the development of technology in the current era is one of the most rapid progress, it is marked by almost all managers of data and information has been done with the computer because of the increasingly diverse information issues handled, Detection of objects is one of the most important early stages before Done object recognition process. Eye blink detection can be used to open a new file or an application. In this research use case detection eye blinking on video using OpenCV to open notepad application. The blink detection uses the haar cascade classifier method for realtime detection and the  OpenCV Library. The first step determines the pattern 1111100000. Next enter the video sample avi format to match with a predetermined pattern. In this program the system managed to detect the eye according to the pattern by circling the eye area when the eyes are open or literate and when the eyes closed or brake there is no circle in the eye area for the correct video sample.
 
Publisher Sekolah Tinggi Teknologi Adisutjipto Yogyakarta
 
Contributor
 
Date 2017-05-26
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion


 
Format application/pdf
 
Identifier http://ejournals.stta.ac.id/index.php/compiler/article/view/197
10.28989/compiler.v6i1.197
 
Source Compiler; Vol 6, No 1 (2017): Mei
2549-2403
2252-3839
10.28989/compiler.v6i1
 
Language ind
 
Relation http://ejournals.stta.ac.id/index.php/compiler/article/view/197/pdf
 
Coverage


 
Rights Copyright (c) 2018 Compiler
 

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