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ITS » Paper and Presentation » 51200-Teknik Informatika S2
Posted by fandikaaqsa@its.ac.id at 15/06/2015 22:26:05  •  1464 Views


SISTEM DETEKSI WAJAH PADA OPEN SOURCE PHYSICAL COMPUTING

FACE DETECTION SYSTEM ON OPEN SOURCE PHYSICAL COMPUTING

Author :
SUDIANTO, YUPIT ( 5110202002 )




ABSTRAK

Deteksi wajah merupakan salah satu area penelitian yang menarik. Penelitian deteksi wajah yang dilakukan hingga saat ini mayoritas masih diimplementasikan pada komputer. Pembangunan sistem deteksi wajah pada komputer memerlukan biaya investasi yang tidak sedikit. Selain harus mengeluarkan biaya pengadaan komputer juga diperlukan biaya untuk operasional seperti penggunaan listrik karena komputer membutuhkan dayawatt yang besar. Dalam penelitian ini diusulkan untuk membangun sistem deteksi wajah dengan menggunakan arduino. Sistem tersebut akan bersifat autonomous mandiri dengan kata lain peran komputer akan digantikan oleh arduino. Arduino yang digunakan adalah arduino Mega 2560 dengan spesifikasi mikrokontroler AT MEGA 2560 kecepatan 16 MHz flash memory 256 KB SRAM 8 KB. EEPROM 4 KB. Sehingga tidak semua algoritma deteksi wajah dapat diimplementasikan pada arduino. Untuk mengatasi keterbatasan memori yang dimiliki oleh arduino akan digunakan metode template matching dengan menggunakan fitur wajah berupa template yang berbentuk seperti topeng. Detection rate yang berhasil dicapai dalam penelitian ini adalah sebesar 80-100. Dimana keberhasilan dalam arduino dalam mengidentifikasi wajah dipengaruhi oleh jarak antara wajah manusia dengan kamera dan pergerakan manusia.


ABSTRACT

Face detection is one of the interesting research area. Majority of this research implemented on a computer. Development of face detection on a computer requires a significant investment costs. In addition to having to spend the cost of procurement of computers is also required for operational cost such as electricity use because the computer requires large powerwatt. This research is proposed to build a face detection system using Arduino. The system will be autonomous in other word the role of computer will be replaced by Arduino. Arduino is used is Arduino Mega 2560 with specifications microcontroller AT MEGA 2560 a speed of 16 MHz 256 KB flash memory 8 KB SRAM 4 KB EEPROM. So not all face detection algorithm can be implemented on the Arduino. The limitations of memory owned by the arduino will be resolved by applying the method of template matching using the facial features in the form of a template that is shaped like a mask. Detection rate achieved in this study is 80 - 100. Where in the Arduino s success in identifying the face are influenced by the distance between the camera with the human face and human movement.



KeywordsArduino; Deteksi wajah; Embedded systems
 
Subject:  Pengolahan data elektronis; Otomasi
Contributor
  1. Dr. Eng. Febriliyan Samopa, S.Kom., M.Kom.
Date Create: 15/06/2015
Type: Text
Format: PDF
Language: Indonesian
Identifier: ITS-paper-51121150007665
Collection ID: 51121150007665
Call Number: RTIf 629.895 51 Sud s


Source
Paper and Presentations of Informatics Engineering, RTIf 629.895 51 Sud s, 2014

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Copyright @2015 by ITS Library. This publication is protected by copyright and per obtained from the ITS Library prior to any prohibited reproduction, storage in a re transmission in any form or by any means, electronic, mechanical, photocopying, reco For information regarding permission(s), write to ITS Library




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ITS-paper-51121150007665-37924.pdf




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