Rancang Bangun Kamera Pengikut Gerak Wajah Dengan Metode Face Detection

Mursalin, Mursalin (2019) Rancang Bangun Kamera Pengikut Gerak Wajah Dengan Metode Face Detection. Diploma thesis, Politeknik Negeri Bengkalis.

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Abstract

At this time technology and information have developed rapidly and rapidly. Various new technologies began to emerge one of which is technology in the field of security systems. Starting from private offices to national scale institutions need a security system to ensure the goods and documents inside are not taken or stolen. One of the devices used in security systems is CCTV (close circuit television) technology. The purpose of using CCTV is to provide a sense of security to its users, but only to the extent of monitoring. However, with the development of security technology there are several security systems that can already secure themselves automatically. One of them is a webcam security system based on face detector. Face detector allows the webcam to detect the face of a user or employee in an institution by storing people's face data in front of the camera, the stored image will later be used again to find the face of the person in the picture. using the Logitech C270 HD Webcam camera, utilizing the MG995 servo motor controlled by Arduino Uno R3, which moves up, down and rotates 180˚. Using the Microsoft Visual Studio C ++ programming language and assisted with libraries from OpenCV or Intel's open source computer vision library, to detect the user's face. The detected results were successfully entered. The accuracy of distance testing is 60% and for face position accuracy testing is 60%. The accuracy rate of testing the light conditions from 20 times the test is 70%. The coordinate test failed, the coordinates read only 0.0, which caused the motor to die and the camera could not follow the face.

Item Type: Thesis (Diploma)
Contributors:
ContributionContributorsEmailNIDN/NIDK
Thesis advisorMarzuarman, Marzuarmanmarzuarman@polbeng.ac.idNIDN0012039003
Uncontrolled Keywords: CCTV, Visual Studio, Face Detector, OpenCV
Subjects: 410 ILMU TEKNIK > 450 TEKNIK ELEKTRO DAN INFORMATIKA > 451 Teknik Elektro
Divisions: Jurusan Teknik Elektro > Diploma Tiga Teknik Elektro > TUGAS AKHIR
Depositing User: Unnamed user with email supianto@polbeng.ac.id
Date Deposited: 30 May 2023 11:52
Last Modified: 30 May 2023 11:52
URI: http://eprints.polbeng.ac.id/id/eprint/8662

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