Eric Fernando, . (2024) ANALISIS METODE YOLOV7-TINY UNTUK MENDETEKSI OBJEK PENGHALANG JALAN SECARA REAL TIME BAGI TUNANETRA. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
Blindness is the condition of lacking visual perception or disabilities in their vision. This has an impact on motor function which causes difficulties in carrying out activities independently, socializing with the surrounding environment, and accessing information so blind people need help from others or mobility aid as a tool to assist them. This research aims to create a mobile application using the YOLOv7-tiny model which can detect road obstruction objects in the form of poles and holes in real-time as a walking aid for the blind. The stages in creating the application are collecting a dataset of objects, building a model, creating an application using the React Native framework, and testing the application using Blackbox and direct testing. Based on research, the application is functioning well in detecting objects in real time.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | No.Panggil: 2010511062 Pembimbing 1: Neny Rosmawarni Pembimbing 2: Muhammad Adrezo Penguji 1: I Wayan Widi Pradnyana Penguji 2: Zatin Niqotaini |
| Uncontrolled Keywords: | Blind, Object Recognition, 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: | ERIC FERNANDO |
| Date Deposited: | 30 Jul 2024 05:29 |
| Last Modified: | 30 Aug 2024 03:20 |
| URI: | http://repository.upnvj.ac.id/id/eprint/31237 |
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