Aplikasi Machine Vision pada Hexacopter untuk Deteksi Survival Kits di Bidang Mitigasi Bencana

Ismawan Noor Ikhsan(1), Son Ali Akbar(2),

DOI: https://doi.org/10.15294/jte.v12i2.26676


(1) Jurusan Teknik Elektro, Fakultas Teknologi Industri, Universitas Ahmad Dahlan
(2) Jurusan Teknik Elektro, Fakultas Teknologi Industri, Universitas Ahmad Dahlan

Abstract

Hexacopter belongs to one of flying robots that is used to carry out a special mission such as retrieving and delivering survival kits object. Thus, it should be built by smart system to determine the object accurately. However, there was an interference from other object that made it difficult to recognize the survival kits object. Therefore, the development of machine vision with the integration of the hexacopter control system is expected to improve the object recognition process. This study intends to develop a survival kit detection using the image processing method, which involved 1) segmentation on the Hue, Saturation, Value (HSV) color space, 2) contour detection, and 3) Region of Interest (ROI) selected detection. The evaluation of the segmentation method performances was done through the three-part experiments (i.e., the similar shape, variety of a color object, and an object shape). The result of survival kits object detection evaluation obtained an accuracy of 90.33%, precision of 99.63%, and recall of 91.24%. According to the performances obtained in this study, the development of machine vision systems on Unmanned Aerial Vehicle (UAV) has a high accuracy for the object survival kits detection even with another object interference.

Keywords

hexacopter; machine vision; HSV; contour; ROI

Full Text:

PDF

References

D. Jo and Y. J. Kwon, “Vertical Takeoff and Landing Wing Developed for Long Distance Flight and Stable Transit Flight,†Int. J. Mech. Eng. Robot. Res., vol. 8, no. 5, pp. 797–802, 2019.

S. Yu, J. Heo, S. Jeong, and Y. Kwon, “Technical Analysis of VTOL UAV,†J. Comput. Commun., vol. 4, no. 15, pp. 92–97, 2016.

V. Raja, Mano, Dinesh, S. Kumar, and R. Kumar, “Design, Fabrication and Simulation of Hexacopter For Forest Surveillance,†ARPN J. Eng. Appl. Sci., vol. 12, no. 12, pp. 3879–3884, 2017.

E. Setyaningsih, D. Prastiyanto, and Suryono, “Penggunaan Sensor Photodioda sebagai Sistem Deteksi Api pada Wahana Terbang Vertical Take-Off Landing (VTOL),†J. Tek. Elektro, vol. 9, no. 2, pp. 53–59, 2017.

G. Patankar, S. Ramdasi, K. Shukla, and P. Yadav, “Autonomous Operation and Controlling of Unmanned Ariel Vehicle (UAV) using Internet,†Int. Res. J. Eng. Technol., vol. 6, no. 3, pp. 427–230, 2019.

A. Tiwari and A. Dixit, “Unmanned Aerial Vehicle and Geospatial Technology Pushing the Limits of Development,†Am. J. Eng. Res., vol. 4, no. 1, pp. 16–21, 2015.

D. Jo and Y. Kwon, “Development of Rescue Material Transport UAV (Unmanned Aerial Vehicle),†World J. Eng. Technol., vol. 5, no. 4, pp. 720–729, 2017.

M. Junus, J. A. Prasetyo, and R. H. Y. Perdana, “Vertical Take Off Landing (VTOL) Untuk Drop Kits Pada Quadcopter,†J. Appl. Smart Electr. Netw. Syst., vol. 1, no. 1, pp. 25–30, 2020.

E. M. Pamungkas, B. A. A. Sumbodo, and I. Candradewi, “Sistem Pendeteksi dan Pelacakan Bola dengan Metode Hough Circle Transform, Blob Detection, dan Camshift Menggunakan AR.Drone,†IJEIS, vol. 7, no. 1, pp. 1–12, 2017.

R. M. Faheem, S. Aziz, A. Khalid, and M. Bashir, “UAV Emergency Landing Site Selection System using Machine vision,†J. Mach. Intell., vol. 1, no. 1, pp. 13–20, 2015.

D. J. Bora, A. K. Gupta, and F. A. Khan, “Comparing the Performance of L*A*B and HSV Color Spaces with Respect to Color Image Segmentation,†Int. J. Emerg. Technol. Adv. Eng., vol. 5, no. 2, pp. 192–203, 2015.

K. A. Eldahshan, M. I. Youssef, E. H. Masameer, and M. A. Mustafa, “Comparison of Segmentation Framework on Digital Microscope Images for Acute Lymphoblastic Leukemia Diagnosis using RGB and HSV Color Spaces,†J. Biomed. Eng. Med. Imaging, vol. 2, no. 2, pp. 26–34, 2015.

A. Pradipta and Desiana Wulaning Ayu, “Perbandingan Segmentasi Citra Telur Ayam Menggunakan Metode Otsu Berdasarkan Perbedaan Ruang Warna RGB Dan HSV,†J. Sains dan Teknol., vol. 6, no. 1, pp. 136–147, 2017.

M. N. A. Hussin, A. H. Ahmad, and M. A. A. Razak, “Price Tag Recognition using HSV Color Space,†J. Telecommun. Electron. Comput. Eng., vol. 9, no. 3, pp. 77–84, 2017.

B. Hdioud, M. E. H. Tirari, R. O. H. Thami, and R. Faizi, “Detecting and Shadows in the HSV Color Space using Dynamic Thresholds,†Int. J. Electr. Comput. Eng., vol. 8, no. 3, pp. 1513–1521, 2018.

C. M. Ibraheem and G. U. Reddy, “Content Based Image Retrieval using HSV Color, Shape and GLCM Texture,†Int. J. Adv. Res. Comput. Commun. Eng., vol. 4, no. 10, pp. 378–383, 2015.

N. S. Widodo and A. Pamungkas, “Machine vision-based Obstacle Avoidance for Mobile Robot,†J. Ilm. Tek. Elektro Komput. dan Inform., vol. 5, no. 2, pp. 77–84, 2019.

E. Hamuda, B. M. Ginley, M. Glavin, and E. Jones, “Automatic Crop Detection Under Field Conditions using the HSV Colour Space and Morphological Operations,†Comput. Electron. Agric., vol. 133, pp. 97–107, 2017.

A. H. Pratomo, W. Kaswidjanti, and S. Mu’arifah, “Implementasi Algoritma Region of Interest (ROI) Untuk Meningkatkan Performa Algoritma Deteksi Dan Klasifikasi Kendaraan,†J. Teknol. Inf. dan Ilmu Komput., vol. 7, no. 1, pp. 155–162, 2020.

C.-Y. Huang, J.-H. Hong, and E. Huang, “Developing a Machine vision Inspection System for Electronics Failure Analysis,†IEEE Trans. Components, Packag. Manuf. Technol., vol. 9, no. 9, pp. 1–32, 2019.

J. P and Geethu Balakrishnan, “Contour Based Object Tracking,†Int. J. Comput. Sci. Inf. Technol., vol. 5, no. 3, pp. 4128–4130, 2014.

A. Hatekar, S. Manwani, G. Patil, and A. Parekh, “Fire Detection on a Surveillance System using Image Processing,†Int. J. Eng. Res. Technol., vol. 6, no. 5, pp. 121–125, 2017.

A. A. Babu, S. Varma, and R. Nikhare, “Hand Gesture Recognition System for Human Computer Interaction using Contour Analysis,†Int. J. Res. Eng. Technol., vol. 4, no. 3, pp. 11–19, 2015.

D. B. Jatmiko, G. E. Setyawan, and H. Fitriyah, “Sistem Tracking Objek Menggunakan Metode Edge Detection pada Quadcopter,†J. Pengemb. Teknol. Inf. dan Ilmu Komput., vol. 3, no. 8, pp. 8031–8036, 2019.

S. Panwar and B. Kaushal, “Determination of Accuracy of Intensity Based Segmentation in HSV Color Space,†Int. J. Adv. Res. Electron. Commun. Eng., vol. 4, no. 6, pp. 1568–1571, 2015.

Refbacks

  • There are currently no refbacks.


Bookmark and Share