Pendeteksi Produk Dengan Kamera Inspeksi Pada Line Produksi
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Abstract
Sorting product system based on dimensional specifications takes a long time and the accuracy is low if done manually. The fatigue factor of production operators results in lowering the quality of work so that the production output becomes of low quality. To overcome this, it is necessary to make sorting equipment that can distinguish the types of products by using inspection camera monitoring which is controlled by Arduino Uno. In this study, a conveyor-shaped prototype was designed which is equipped with a Webcam X6 camera and several proximity sensors to provide input to the Arduino Uno. The camera function detects the product dimensions using the Deep Learning Model SSD-MobileNet v2 method using the Python programming language and is assisted by the TensorFlow and OpenCV libraries. The results of product detection will be processed into input signals to control the Arduino Uno followed by controlling the pneumatic solenoid valves on each product. The result of reading by software is to detect circular objects by 92%, detect triangular objects, which is about 84%, and read square objects, which is about 87%.
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References
[2] D. P. Sari, S. Rasyad, E. Evelina, and A. Amperawan, “IDENTIFIKASI HURUF BRAILLE BERBASIS IMAGE PROCESSING SECARA REAL TIME,” JURNAL AMPERE, vol. 2, no. 2, p. 68, Dec. 2017, doi: 10.31851/ampere.v2i2.1765.
[3] A. Susila, W. S. Aji, and T. Sutikno, “PURWARUPA ALAT PEMILAH BARANG BERDASARKAN UKURAN DIMENSI BERBASIS PLC OMRON SYSMAC CPM1,” TELKOMNIKA (Telecommunication Computing Electronics and Control), vol. 5, no. 2, pp. 85–92, Aug. 2007, doi: 10.12928/telkomnika.v5i2.1345.
[4] S. Madakam, R. M. Holmukhe, and D. Kumar Jaiswal, “The Future Digital Work Force: Robotic Process Automation (RPA),” Journal of Information Systems and Technology Management, vol. 16, pp. 1–17, Jan. 2019, doi: 10.4301/S1807-1775201916001.
[5] T. Chakraborti et al., “From Robotic Process Automation to Intelligent Process Automation: – Emerging Trends –,” in Lecture Notes in Business Information Processing, Springer Science and Business Media Deutschland GmbH, 2020, pp. 215–228. doi: 10.1007/978-3-030-58779-6_15.
[6] R. Macrorie, S. Marvin, and A. While, “Robotics and automation in the city: a research agenda,” Urban Geogr, vol. 42, no. 2, pp. 197–217, 2021, doi: 10.1080/02723638.2019.1698868.
[7] A. N. Kurniadi, H. Rachmat, and S. E. A. Denny, “PERANCANGAN PROGRAM SISTEM PENGENDALI UNTUK OTOMATISASI PROSES PENGEPAKAN TEH MENGGUNAKAN PLC OMRON CP1E DI PT.PN VIII UNIT SINUMBRA,” e-Proceeding of Engineering, vol. 2, no. 1, pp. 827–832, 2015.
[8] East-West University, Institute of Electrical and Electronics Engineers, Institute of Electrical and Electronics Engineers. Bangladesh Section, and IEEE Robotics and Automation Society. Bangladesh Chapter, 2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT 2019) : May 3-5, 2019, Dhaka, Bangladesh.
[9] B. Tomar and N. Kumar, “PLC and SCADA based Industrial Automated System,” in 2020 IEEE International Conference for Innovation in Technology, INOCON 2020, Institute of Electrical and Electronics Engineers Inc., Nov. 2020. doi: 10.1109/INOCON50539.2020.9298190.
[10] B. Gunawan and Y. Prawoto, “Aplikasi Programmable Logic Controller (PLC) Omron CPM2A Sebagai Komponen Utama Sistem Pengukur Kecepatan Putar (RPM) Motor DC,” Simetris : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer, vol. 2, no. 1, p. 48, Jun. 2013, doi: 10.24176/simet.v2i1.98.
[11] H. Yanto, “Analisis Program Keselamatan dan Kesehatan Kerja di Bagian Produksi dengan Menggunakan Metode 5S (Studi Kasus PT Pionirbeton Industri Plant Yogyakarta),” Spektrum Industri, vol. 18, no. 1, p. 23, Jul. 2020, doi: 10.12928/si.v18i1.12443.
[12] M. Ardimansyah and D. Bagenda, “PROTOTIPE ALAT SORTIR BOLA BERDASARKAN PERBEDAAN WARNA MENGGUNAKAN LED RGB DAN LDR BERBASIS MIKROKONTROLER,” Jurnal Komputer Bisnis, vol. 5, no. 2, 2014, Accessed: Mar. 18, 2024. [Online]. Available: http://jurnal.lpkia.ac.id/index.php/jkb/article/view/74
[13] W. T. Abbood, O. I. Abdullah, and E. A. Khalid, “A real-time automated sorting of robotic vision system based on the interactive design approach,” International Journal on Interactive Design and Manufacturing, vol. 14, no. 1, pp. 201–209, Mar. 2020, doi: 10.1007/s12008-019-00628-w.
[14] I. M. N. Arijaya, “RANCANG BANGUN ALAT KONVEYOR UNTUK SISTEM SOLTIR BARANG BERBASIS MIKROKONTROLER ARDUINO UNO,” Jurnal RESISTOR (Rekayasa Sistem Komputer), vol. 2, no. 2, pp. 126–135, Oct. 2019, doi: 10.31598/jurnalresistor.v2i2.363.
[15] W. T. Abbood, O. I. Abdullah, and E. A. Khalid, “A real-time automated sorting of robotic vision system based on the interactive design approach,” International Journal on Interactive Design and Manufacturing, vol. 14, no. 1, pp. 201–209, Mar. 2020, doi: 10.1007/s12008-019-00628-w.
[16] A. A. G. Ekayana and I. M. A. Putra, “Rancang Bangun Pendeteksi Gempa Bumi Vertikal Berbasis Arduino Nano Dengan Sensor Induksi Elektromagnetik,” S@CIES, vol. 7, no. 2, pp. 118–125, Apr. 2017, doi: 10.31598/sacies.v7i2.190.
[17] A. A. G. Ekayana, “RANCANG BANGUN ALAT PENGERING RUMPUT LAUT BERBASIS MIKROKONTROLER ARDUINO UNO,” Jurnal Pendidikan Teknologi dan Kejuruan, vol. 13, no. 1, Apr. 2016, doi: 10.23887/jptk-undiksha.v13i1.6842.
[18] F. Fatimah, I. Maulana, M. Dimas, A. Dan, and A. Putramala, “Pemrograman Modul Kamera pada Prototipe Mesin Sortir Bungkus Permen Berbasis Image Processing,” Prosiding Seminar Nasional Teknik Elektro, vol. 6, pp. 145–151, 2021.
[19] W. A. Candra, A. S. Sunarya, and W. S. Saraswati, “Computer Vision Implementation in Scratch Inspection and Color Detection on The Car Roof Surface,” MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering, vol. 5, no. 2, pp. 317–328, Apr. 2023, doi: 10.46574/motivection.v5i2.230.
[20] A. Satria Prabuwono, D. Kurniawan, and Y. Away, “PERANCANGAN SISTEM INSPEKSI VISUAL BERBASIS PROGRAMMABLE LOGIC CONTROLLER (PLC) PADA MODULAR AUTOMATION PRODUCTION SYSTEM (MAPS),” GELAGAR, vol. 18, no. 1, pp. 11–18, 2007.
[21] H. Mulyawan, M. Z. H. Samsono, and Setiawardhana, “Identifikasi dan Tracking Objek Berbasis Image Processing Secara Real Time,” 2017.
[22] P. R. Aningtiyas, A. Sumin, and S. Wirawan, “Pembuatan Aplikasi Deteksi Objek Menggunakan TensorFlow Object Detection API dengan Memanfaatkan SSD MobileNet V2 Sebagai Model Pra - Terlatih,” Jurnal Ilmiah Komputasi, vol. 19, no. 3, Mar. 2020, doi: 10.32409/jikstik.19.3.68.