Mendeteksi Objek Bulat Secara Real-Time Menggunakan Model Warna HSV Berbasis Android
DOI:
https://doi.org/10.58991/eemisas.v3i1.51Keywords:
Roundness of objects, Circle hough transform, Image processing, Color analysisAbstract
An object has distinct characteristics, particularly in terms of shape and color. The use of color in object measurement is common but still has drawbacks, especially if the object is not exposed to sufficient lighting, which can reduce accuracy. In detecting circular objects, we can utilize HSV color elements and the object's shape to measure its roundness. Roundness is a crucial characteristic in various applications such as manufacturing, agriculture, and medical technology. However, accurate and fast roundness measurement often requires specialized, expensive, and complex equipment. This research uses image processing technology and color analysis to address these challenges. We developed an Android-based application that utilizes the commonly used smartphone camera to identify objects based on color changes along the object's contour. To detect roundness, we also use the Circle Hough Transform, which is frequently employed to efficiently detect round objects. Measurements are performed in real-time, allowing users to obtain results quickly and accurately. Testing results show that this method can provide consistent and relatively accurate outcomes compared to conventional methods. The main advantage of this research is its ability to detect the roundness of objects without requiring expensive specialized equipment. By using smartphones that many people already own, this application has the potential to be applied in various industries and applications that require quick and accurate roundness measurements. Overall, this research successfully developed an innovative method to detect round objects in real-time based on the Android platform. This method has the potential to reduce the cost and complexity of roundness measurement, offering an alternative that is more accessible and easier to implement in various contexts.
References
G. W. Intyanto, K. Anam, B. J. M. Putra, and H. Prasetyo, “Detection of Indonesian Fishing Vessels on Unmanned Aerial Vehicle Images using YOLOv5s,” in 2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding, Institute of Electrical and Electronics Engineers Inc., 2023, pp. 468–472. doi: 10.1109/ISITIA59021.2023.10221071.
W. Pebrianto, P. Mudjirahardjo, and S. H. Pramono, “Partial half fine-tuning for object detection with unmanned aerial vehicles,” IAES International Journal of Artificial Intelligence (IJ-AI), vol. 13, no. 1, p. 399, Mar. 2024, doi: 10.11591/ijai.v13.i1.pp399-407.
B. Hikmahwan, F. Hario, and P. Mudjirahardjo, “Ball Detection Based on Color and Shape Features Captured by Omni-Directional Camera,” in 2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding, Institute of Electrical and Electronics Engineers Inc., 2023, pp. 87–92. doi: 10.1109/ISITIA59021.2023.10221097.
S. Zhu, C. Li, J. Rogers, M. Gianni, and I. Howard, “A Real-time Double Emulsion Droplets Detection System using Hough Circle Transform and Color Detection,” in 2021 27th International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2021, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 36–41. doi: 10.1109/M2VIP49856.2021.9665023.
R. (Ricardo) Jardim-Gonçalves, Universidade Nova de Lisboa, IEEE Technology and Engineering Management Society., and Institute of Electrical and Electronics Engineers, 9th International Conference on Intelligent Systems 2018 (IS’2018) : “Theory, research and innovation in applications” : conference proceedings.
C. Utama, P. Negara, and K. Firdausy, “Pengolahan Citra menggunakan Metode Otsu dan Hough Circle Transform untuk Prototipe Alat Sortir Buah Apel.”
B. Hikmahwan, F. Hario, and P. Mudjirahardjo, “A Real-Time Video Analysis With an Omni-Directional Camera for Multi Object Detection Using The Hough Transform Method,” in 2023 1st IEEE International Conference on Smart Technology: Advances in Smart Technology for Sustainable Well-Being, ICE-SMARTec 2023, Institute of Electrical and Electronics Engineers Inc., 2023, pp. 118–123. doi: 10.1109/ICE-SMARTECH59237.2023.10461966.
R. S. Wicaksono, B. Juliartha, M. Putra, B. Hikmahwan, A. Komunitas, and N. Pacitan, “Aplikasi Kepramukaan ‘Strong Scout’ Berbasis Android,” EEMISAS, vol. 1, no. 1.
Berlian Juliartha Martin Putra, Rinun Sri Bawani, and Bagus Hikmahwan, “Aplikasi Makanan Sehat bagi Penderita Hipertensi Berbasis Android,” Jurnal ILKOMEDIA, vol. 1, no. 1, pp. 33–38, 2024.
Melinda Yunitasari, Tamara Maharani, and Bagus Hikmahwan, “IMPLEMENTASI METODE K-MEANS UNTUK PENGELOMPOKAN DATA JAMAAH,” Kumpulan jurnaL Ilmu Komputer (KLIK), vol. 9, no. 1, pp. 1–9, 2022.
Lesta Lia Regitaningtyas, Tamara Maharani, and Bagus Hikmahwan, “KLASIFIKASI DATA LULUSAN SISWA SMP MENGGUNAKAN METODE NAÏVE BAYES,” Kumpulan jurnaL Ilmu Komputer (KLIK), vol. 9, no. 1, pp. 10–21, 2022.
B. Y. Nugroho, B. H. Wan, and A. B. Sasongko, “Monitoring Data Real Time Sederhana Dari Hand Washer Portable Dengan Energy Solar Panel,” AutoMech : Jurnal Teknik Mesin, vol. 2, no. 01, Jun. 2022, doi: 10.24269/jtm.v2i01.5164.
A. Fu’adi et al., “Pembangunan Sistem Monitoring Kehadiran Mahasiswa Menggunakan Yolo Pendeteksi Obyek dan Pengenal Wajah Opencv,” Jurnal Ilmiah Teknologi Informasi Asia, vol. 18, no. 1, 2024.
