Wahyu Dhia Satwika, . (2025) DETEKSI GUIDING BLOCK SECARA REAL-TIME MENGGUNAKAN YOLO UNTUK MEMBANTU PENYANDANG TUNANETRA. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
Mobility plays an important role in daily life, including for individuals with visual impairments. They often require external assistance to support their mobility, such as guiding blocks. Guiding blocks are infrastructure-based aids designed to support independent navigation. However, many visually impaired individuals still face difficulties in recognizing directional changes such as right and left turns. This study aims to develop a real-time guiding block detection system using the YOLOv8 algorithm. The dataset used consists of three classes: straight, turn right, and turn left. The YOLOv8n model was chosen for its lightweight architecture, making it suitable for mobile deployment. The model achieved a mAP of 0.979, with per-class mAP scores of 0.979 for straight, 0.968 for right, and 0.932 for left. The model was implemented into a mobile application using TensorFlow Lite and integrated with a Text-to-Speech feature to provide audio output to users. The application was tested using black-box testing and performed well under various lighting conditions, including day and night, with a detection speed of 13–18 FPS. This research is expected to assist visually impaired individuals in improving their daily mobility.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 2110511066] [Pembimbing 1: Widya Cholil] [Pembimbing 2: Neny Rosmawarni] [Penguji 1: Ridwan Raafi'udin] [Penguji 2: Muhammad Panji Muslim] |
| Uncontrolled Keywords: | Visual Impairment, Guiding Block, YOLOv8, Mobile Application |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Informatika (S1) |
| Depositing User: | WAHYU DHIA SATWIKA |
| Date Deposited: | 13 Jul 2025 21:12 |
| Last Modified: | 18 Jul 2025 07:52 |
| URI: | http://repository.upnvj.ac.id/id/eprint/37380 |
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