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RANCANG BANGUN SISTEM OTOMASI BEL RUMAH DAN PENGENALAN WAJAH BERBASIS OPENCV DENGAN SISTEM NOTIFIKASI TELEGRAM

Istiqomah, Riza Nur (2019) RANCANG BANGUN SISTEM OTOMASI BEL RUMAH DAN PENGENALAN WAJAH BERBASIS OPENCV DENGAN SISTEM NOTIFIKASI TELEGRAM. Undergraduate (S1) thesis, University of Muhammadiyah Malang.

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Abstract

The home automation system is a necessity for certain groups of people, especially for those who often leave home or are obliged to care for disabled or elderly family members. So that the automatic bell is one aspect of the home automation system. This system will sound automatically when it detects the presence of guests and sends the guest photo via the telegram application. In order to function, the bell system must automatically be able to detect objects in front of the door. So it takes a human face detection using the Viola Jones method to determine that the one right in front of the door is a human. The results obtained from this study are that the Viola Jones motor is able to detect human faces with a maximum distance of 200 cm and a slope of less than 70º and more than 120º.

Item Type: Thesis (Undergraduate (S1))
Student ID: 201410130311157
Thesis Advisors: Muhammad Irfan (0705106601), Machmud Effendy (0715067402)
Keywords: Viola Jones, face detection, PIR sensor, Raspberry PI, telegram
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering > Department of Electrical Engineering (20201)
Depositing User: Retno Widiyastuti Ika Wijaya
Date Deposited: 04 Nov 2019 02:11
Last Modified: 04 Nov 2019 02:11
URI : http://eprints.umm.ac.id/id/eprint/54627

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