Human Follower Quadcopter Drone Based On Face Recognition For Vlog
WIRATAMA ABISATYA
Informasi Umum
Kode
23.04.1611
Klasifikasi
006.37 - Computer Vision
Jenis
Karya Ilmiah - Skripsi (S1) - Reference
Subjek
Robot Vision - Computer Vision, Human Communication,
Dilihat
302 kali
Informasi Lainnya
Abstraksi
<p>In late 2011, a new genre of video blogging shortened as vlogging gained popularity thanks to platforms like YouTube. Vlog, is a popular video format for online influencers to create content. Whether it is just a personal video, product review, or even used in education as an instructional video or lectures, Vlogging with a conventional camera requires a setup for a place, and usually stationary. To move around outside the location of a set, vloggers need to carry the camera with them. The use of a quadcopter drone with a camera for vlogging can reduce the hassle of setting up a place or carrying the camera around especially with autonomous capability. The aim of this research is to develop a system for autonomous following drone based on face recognition to follow a certain person recognized by the drone. Haar cascade method is used to perform the face detection, and Linear Binary Pattern Histogram algorithm used to identify the person's face. The system developed capable to recognize and follow a face from 40 – 200 centimeters away using Tello drone camera with 50% - 3% confidence score respectively. Tello drone moves quite well for following the face recognized without advanced control system.</p>
Koleksi & Sirkulasi
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Pengarang
| Nama | WIRATAMA ABISATYA |
| Jenis | Perorangan |
| Penyunting | Willy Anugrah Cahyadi, Angga Rusdinar |
| Penerjemah |
Penerbit
| Nama | Universitas Telkom, S1 Teknik Elektro (International Class) |
| Kota | Bandung |
| Tahun | 2023 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
