Penerapan Otomasi Industri Berbasis Programmable Logic Controller untuk Penyortiran Barang Berdasarkan Warna Menggunakan Sensor Vision
DOI:
https://doi.org/10.30595/jrre.v6i2.24915Keywords:
Sistem otomasi industri, Programmable Logic Controller, Sensor Vision, Arduino Uno, Sortir WarnaAbstract
Penerapan sistem otomasi dalam industri bertujuan untuk meningkatkan efisiensi dan akurasi proses produksi, salah satunya dalam proses penyortiran barang berdasarkan warna. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem otomasi yang dapat melakukan penyortiran barang otomatis menggunakan sensor vision berbasis PixyCam dan kontroler PLC (Programmable Logic Controller). Sistem ini dirancang untuk mendeteksi warna objek (hijau, merah, dan biru) dan melakukan penyortiran dengan menggunakan motor DC konveyor dan motor servo. Metode yang digunakan dalam penelitian ini adalah pengolahan sinyal dari sensor vision PixyCam yang kemudian dikirimkan ke Arduino Uno untuk pengolahan data, dilanjutkan dengan pengiriman sinyal ke PLC untuk mengendalikan aktuator. Hasil pengujian menunjukkan bahwa sistem ini dapat menyortir objek dengan tingkat keberhasilan mencapai 87,6%, meskipun terdapat beberapa kegagalan terkait pencahayaan dan posisi objek. Penelitian ini memberikan kontribusi dalam mengoptimalkan penerapan teknologi sensor vision dalam industri, terutama untuk aplikasi penyortiran berdasarkan warna.
References
[1] J. Lee, B. Bagheri, and H. A. Kao, “A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems,” Manuf. Lett., vol. 3, pp. 18–23, 2015, doi: 10.1016/j.mfglet.2014.12.001.
[2] A. Saurin, Sheth Qayyum, R. Rayhan, S. Dash, and T. Naidu, “Automatic Sorting System Using Machine Vision,” no. July, pp. 113–118, 2021, doi: 10.13140/2.1.1432.1448.
[3] R. Vieira, D. Silva, E. Ribeiro, L. Perdigoto, and P. J. Coelho, “Performance Evaluation of Computer Vision Algorithms in a Programmable Logic Controller: An Industrial Case Study,” Sensors, vol. 24, no. 3, 2024, doi: 10.3390/s24030843.
[4] H. Yao et al., “Development and optimization of object detection technology in pavement engineering: A literature review,” J. Road Eng., vol. 4, no. 2, pp. 163–188, 2024, doi: 10.1016/j.jreng.2024.01.006.
[5] A. T. Fadhil, K. A. Abbar, and A. M. Qusay, “Computer Vision-Based System for Classification and Sorting Color Objects,” IOP Conf. Ser. Mater. Sci. Eng., vol. 745, no. 1, 2020, doi: 10.1088/1757-899X/745/1/012030.
[6] K. Sasidhar, S. Faiz Hussain, S. A. Safdar, and A. Uddin, “Design and Development of a PLC Based Automatic Object Sorting,” Int. J. Res. Sci. Innov. |, vol. IV, no. January, 2017, [Online]. Available: www.rsisinternational.org.
[7] Priswanto, A. Mubyarto, W. Hp, A. Taryana, and M. Munawar, “Perancangan Prototipe Sistem Konveyor Di Industri Dilengkapi Dengan Sistem Pemisah Benda Berdasarkan Warna, Ukuran Dan Jenis Benda Berbasis PLC Mitsubishi FX2N,” Techno, vol. 18, no. 1, pp. 7–14, 2017.
[8] J. Li, “Application Research of Vision Sensor in Material Sorting Automation Control System,” IOP Conf. Ser. Mater. Sci. Eng., vol. 782, no. 2, 2020, doi: 10.1088/1757-899X/782/2/022074.
[9] S. Vandana, K. Shamukha Sri Sai, P. Rohila, and V. Manideep, “PLC Operated Colour Based Product Sorting machine,” IOP Conf. Ser. Mater. Sci. Eng., vol. 1119, no. 1, p. 012016, 2021, doi: 10.1088/1757-899x/1119/1/012016.
[10] C. K. Kunhimohammed, K. K. Muhammed Saifudeen, S. Sahna, M. S. Gokul, and S. Usman Abdulla, “Automatic Color Sorting Machine Using TCS230 Color Sensor And PIC Microcontroller,” Int. J. Res. Innov. Sci. Technol., vol. 2, no. 2, pp. 33–38, 2015, [Online]. Available: https://doaj.org/article/206a0c06216649eda81a291f324578f3.
[11] A. T. Wardhana, A. Zamheri, and D. Puspa, “Implementation of Plc Based Automatic Sorting System,” Austenit, vol. 15, no. 1, pp. 36–40, 2023, doi: 10.53893/austenit.v15i1.6677.
[12] N. W. Seng and A. S. Abdul Ghani, “Vision Based Smart Sorting Machine,” Lect. Notes Mech. Eng., no. August 2019, pp. 13–25, 2020, doi: 10.1007/978-981-13-8323-6_2.
[13] K. Anandhan, “Sorting Robot using Machine Vision Inspection System,” no. November 2022, 2023, [Online]. Available: https://www.researchgate.net/publication/365777155_Sorting_Robot_using_Machine_Vision_Inspection_System.
[14] K. J. Alaameri, A. J. Ramadhan, A. Fatlawi, and Z. S. Idan, “Design of a new sorting colors system based on PLC, TIA portal, and factory I/O programs,” Open Eng., vol. 14, no. 1, 2024, doi: 10.1515/eng-2022-0547.
[15] H. Rajaaal, A. Farh, and S. Al Hasani, “Image Processing Based Automatic Color Object Sorting Using PLC System,” Int. J. Electr. Electron. Res., vol. 7, no. 2, pp. 50–62, 2019, [Online]. Available: www.researchpublish.com.
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