DEVELOPING DESIGN OF AUTOMATIC EGG QUALITY DETECTOR USING ROI AND RGB TEMPLATE METHODS

  • Teguh Herlambang Information System Department, FEBTD, Universitas Nahdlatul Ulama Surabaya
  • Andy Suryowinoto Electircal Engineering Department, Institut Teknologi Adhi Tama Surabaya
  • Moch Zakaria Electircal Engineering Department, Institut Teknologi Adhi Tama Surabaya
  • Berny Pebo Tomasouw Mathemathics Department, Universitas Pattimura
DOI: https://doi.org/10.30598/barekengvol16iss2pp569-582
Keywords: ROI, RGB, Purebred chicken egg, conveyor, Pixy CMUcam5, Eqq Qualiti Detector

Abstract

The eggs of purebred chickens always become the major choice for satisfying people’s needs for nutrients. The way to process them is easy, and the prices are relatively cheap for all people. Since the eggs of purebred chickens are in high demand, a device that can detect their qualities more correctly and accurately is needed, compared to the conventional method. Objective: An automatic egg quality detector was developed through a camera module of pixy cmucam5 by employing ROI and template RGB methods. The implementation of the ROI method could optimize the system performance, thereby accelerating the process of egg quality detection carried out by the preprocessor of the pixy camera. ROI analyzed the egg image only on the desired pixel area, not the whole pixel. As a result, the ROI method yielded a device and system that could detect the egg quality within the average speed of detection time -/+ 2ms per egg out of 4 trial categories. Meanwhile, the template RGB method was able to improve and ease the ability of the pixy camera module in detecting the egg quality. When the RGB index of the egg was < 234, then the egg was of good quality. Contrarily, when the RGB index of the egg was > 234, the egg quality was in a bad category. The contribution of this paper is to develop a low-cost automatic egg sorting and detection system with the advantages of flexibility in device placement, due to the use of camera modules and object detection accuracy, as well as better response time than using color sensors. Accordingly, the template RGB method produced a device and system which could detect egg quality with average accuracy of 90 % and average error of 10% out of 4 trial categories. And, the results of the trials upon the detector system indicated success in detecting the egg quality.

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References

D. Christover, A. Y. Pancha T.S, J. A. Purnomo and M. M. Yusup, “Rancang Bangun Alat Pendeteksi Kebusukan Telur Menggunakan Metode Fuzzy Logic Berbasis Mikrokontroler Arduino Nano 328,” JURNAL SAINS TERAPAN, vol. 5, no. 1, pp. 1-6, 2019.

M. Hamdani, L. Affandi and S. Syahminan, “Alat Pendeteksi Telur menggunakan Sensor Cahaya dan Bahasa C,” Jurnal Teknologi Infomrasi, vol. 5, no. 1, pp. 77-90, 2014.

R. Saputra, D. Septinova and T. Kurtini, “Pengaruh Lama Penyimpanan Dan Warna Kerabang Terhadap Kualitas Internal Telur Ayam Ras,” Jurnal Ilmiah Peternakan Terpadu, vol. 3, no. 1, pp. 75-80, 2015.

F. Djuandi, Pengenalan Arduino, www.tobuku.com, 2011.

N. A, Aplikasi Sensor Kamera Pada Robot Following Dengan Pendeteksian Warna Laporan Akhir,” Apl. Sens. Kamera Pada Robot Follow. Dengan Pendeteksian Warna, Palembang: Politeknik. Negeri Sriwijaya, 2017.

M. Sagita, Aplikasi Led Rgb Pada Lengan Robot Penyortir Kotak Berdasarkan Warna Berbasis Arduino Uno, Palembang: Politeknik. Negeri Sriwijaya, 2015.

R. Birdayansyah, N. Soedjarwanto, and O. Zebua, “Pengendalian Kecepatan Motor DC Menggunakan Perintah Suara Berbasis Mikrokontroler Arduino,” Electrician, vol. 9, no. 2, pp. 97-108, 2015.

M. Imron and A. Setiawan, “Pemilah Barang Logam Dan Non-Logam Berbasis PLC Omron CP1E-N30SDT-D,” Jurnal Teknik Elektro, vol. 33, pp. 22-28, 2018.

N. Y. T. Handayani, B. Hidayat and S. Darana, “Deteksi Kualitas Dan Kesegaran Telur Ayam Berbasis Deteksi Objek Transparan Dengan Metode Discrete Cosine Transform ( DCT ) Dengan Klasifikasi K-Nearest Neighbor ( K-NN ),” e-Proceeding of Engineering, vol. 4, no. 2, p. 1725, 2017.

A. Suryowinoto and A. Hamid, “Penggunaan Pengolahan Citra Digital dengan Algoritma Edge Detection dalam Mengidentifikasi Kerusakan Kontur Jalan,” in Seminar Nasional Sains dan Teknologi Terapan V, Surabaya, 2017.

A. H. Pratomo, W. Kaswidjanti and S. Mu’arifah, “Implementasi Algoritma Region of Interest ( ROI ) Untuk Meningkatkan Performa Algoritma Deteksi Dan Klasifikasi Kendaraan,” Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK), vol. 7, no. 1, pp. 155-162, 2020.

S. Y. Riska, “Klasifikasi Level Kematangan Tomat Berdasarkan Perbedaan Perbaikan Citra Menggunakan Rata-Rata RGB Dan Index Pixel,,” Jurnal Ilmiah Teknologi dan Informasia ASIA (JITIKA), vol. 9, no. 2, pp. 18-26, 2015.

D. M. Suryadharma, Implementasi threshold metode otsu untuk deteksi bangun ruang pada citra digital, Medan: Universitas Sumatera Utara, 2013.

M. D. Atmadja, F. A. Soelistiant and H. M. Kristiana, “Analisis Perbandingan Susunan Rangkaian Pada Lampu Led Untuk Penerangan,” in Prosiding SENTIA, Malang, 2016.

S. Sriwidodo, Rancang Bangun Sistem Kontrol Suhu Menggunakan Dimmer Dan Monitoring Dengan Human Machine Interface (HMI) Pada Alat Penetas Telur Otomatis Berbasis PLC Schneider, Semarang: Universitas Diponegoro Semarang, 2018.

R. Haryadi, D. Saputra, F. Wijayanti, D. A. Yusofa, N. N. Ferlis, U. Alizkan and W. T. Priane, “Pengaruh Cahaya Lampu 15 Watt Terhadap Pertumbuhan Tanaman Pandan (Pandanus Amaryllifolius),”,” Gravity: Jurnal Ilmiah Penelitian dan Pembelajaran Fisika, vol. 3, no. 2, pp. 100–109,, 2017.

F. Ferawati,, Aplikasi Sensor MQ-5 Dengan Pengendali Mikrokontroler Atmega16 Sebagai Pendeteksi Kebakaran Berbasis Modul GSM SIM900A, Palembang: Politeknik Negeri Sriwijaya, 2015.

M. N. R. Ramadhan, Perancangan Robot Pembuat Biopori Berbasis Arduino Uno Atmega 328P Dengan Sistem Kendali Smartphone Android, Medan: Universitas Sumatera Utara Medan, 2017.

S. Mustafa and U. Muhammad, “Rancang Bangun Sistem Monitoring Penggunaan Daya Listrik Berbasis Smartphone,” Jurnal MEDIA ELEKTRIK, vol. 17, no. 3, pp. 127-130, 2020.

N. A. tyasmara, Rancang Bangun Inkubator Untuk Monitoring Kondisi Bayi Prematur Berbasis Mikrokontroler, Yogyakarta: Universitas Negeri Yogyakarta, 2018.

Published
2022-06-01
How to Cite
[1]
T. Herlambang, A. Suryowinoto, M. Zakaria, and B. Tomasouw, “DEVELOPING DESIGN OF AUTOMATIC EGG QUALITY DETECTOR USING ROI AND RGB TEMPLATE METHODS”, BAREKENG: J. Math. & App., vol. 16, no. 2, pp. 569-582, Jun. 2022.
Issue
Vol 16 No 2 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Section
Articles

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