Yuliza, Yuliza and Muwardi, Rachmat and Rhozaly, Mustain and Lenni, Lenni and Yunita, Mirna and Yehezkiel, Galatia Erica (2023) Fast Human Recognition System on Real-Time Camera. Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI), 9 (4). pp. 895-903.
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Abstract
The rapid development of technology requires several technological fields to keep pace to increase work effectiveness and efficiency. One focus that is widely used is image processing technology. Many areas have implemented image processing systems due to various benefits, including security, health, and education. One of the current obstacles is safety, focusing on searching for missing people, which is still done manually. The vast search area, low light conditions, and complicated search fields made finding the person challenging for the search team. Therefore, it is necessary to have a tool that can detect people to assist in the search process. This paper proposes an object detector on a simple device capable of detecting human objects. The detection device was made using the You Only Look One (YOLO) method with the YoloV4-Tiny type, where this algorithm has high detection speed and accuracy. Using the YOLOV4-Tiny simulation method for human object recognition obtained satisfactory results with a detection rate of 100% with an FPS value of 5.
| Item Type: | Artikel Umum |
|---|---|
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisi / Prodi: | Faculty of Industrial Technology (Fakultas Teknologi Industri) > S1-Electrical Engineering (S1-Teknik Elektro) |
| Depositing User: | M.Eng. Alfian Ma'arif |
| Date Deposited: | 18 Oct 2023 03:24 |
| Last Modified: | 18 Oct 2023 03:24 |
| URI: | http://eprints.uad.ac.id/id/eprint/50852 |
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