A Design And Construction Of Goods Sorter Conveyor With Color Detection Using Esp-32 Camera Based On Open-CV Python
Perancangan Dan Konstruksi Konveyor Penyortir Barang Dengan Deteksi Warna Menggunakan Kamera Esp-32 Berbasis Open-CV Python
DOI:
https://doi.org/10.21070/ups.376Keywords:
OpenCV, Python, Color, ConveyorAbstract
The use of the OpenCV Python library can be developed in all fields of technology, including in the industrial sector. In the industrial world, there are goods sorting tools in the form of conveyors, where these tools are now increasingly sophisticated with the use of cameras as readers of the objects being sorted. The purpose of applying the OpenCV (Open Source Computer Vision Library) system to this goods sorter conveyor is to make it easier to sort objects based on the color we want and improve education on industrial technology in Indonesia.
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S. H. Park and K. Han, “Methodologic Guide for Evaluating Clinical Performance and Effect of Artificial Intelligence Technology for Medical Diagnosis and Prediction 1 REVIEW: Evaluation of Artificial Intelligence Tools for Diagnostic or Predictive Analysis Park and Han,” Radiol. n Radiol. Radiol., vol. 286, no. 3—March, 2018.
D. M. Rajagukguk and I. Panjaitan, “Compression of Color Image Using Quantization Method,” vol. 10, no. 02, pp. 13–18, 2020.
F. Jalled and I. Voronkov, “Object Detection using Image Processing,” pp. 1–6, 2016, [Online]. Available: http://arxiv.org/abs/1611.07791
S. Suwarno and K. Kevin, “Analysis of Face Recognition Algorithm: Dlib and OpenCV,” J. Informatics Telecommun. Eng., vol. 4, no. 1, pp. 173–184, 2020, doi: 10.31289/jite.v4i1.3865.
X. Li, S. Li, Q. Liu, Z. Cui, and Z. Chen, “A Triple-Channel Colorimetric Sensor Array for Identification of Biothiols Based on Color RGB (Red/Green/Blue) as Signal Readout,” ACS Sustain. Chem. Eng., vol. 7, no. 20, pp. 17482–17490, 2019, doi: 10.1021/acssuschemeng.9b04740.
H. Soleh, E. W, H. Witarsa, M. Ferdian, D. Yuniarti, and C. Caroline, “Prototipe Penyortir Barang Berdasarkan Warna, Bentuk Dan Tinggi Berbasis Programmable Logic Controller (Plc) Dengan Penggerak Sistem Pneumatic,” J. Mikrotiga, vol. 1, no. 2, 2014.
T. J. Nuva, M. I. Ahmed, and S. S. Mahmud, “Design & Fabrication of Automatic Color & Weight-Based Sorting System on Conveyor Belt,” J. Integr. Adv. Eng., vol. 2, no. 2, pp. 147–157, 2022, doi: 10.51662/jiae.v2i2.87.
M. I. Sari, R. Handayani, S. Siregar, and B. Isnu, “Pemilah Benda Berdasarkan Warna Menggunakan Sensor Warna TCS3200,” TELKA - Telekomun. Elektron. Komputasi dan Kontrol, vol. 4, no. 2, pp. 85–90, 2018, doi: 10.15575/telka.v4n2.85-90.
M. Kamalakannan and K. Devadharshini, “Controlling the Speed of Conveyor Belt using Python – Raspberry Pi 3B+,” Orient. J. Comput. Sci. Technol., vol. 12, no. 2, pp. 57–64, 2019, doi: 10.13005/ojcst12.02.05.
F. R. Wicaksono et al., “Perancangan Dan Implementasi Alat Penyortir Barang Pada Design and Implementation of Items Device Sorting on Conveyor,” JTEV (Jurnal Tek. Elektro dan Vokasional), vol. 5, no. 1, pp. 40–47, 2018.
A. Thike, Z. Z. Moe San, and D. Z. Min Oo, “Design and Development of an Automatic Color Sorting Machine on Belt Conveyor,” Int. J. Sci. Eng. Appl., vol. 8, no. 7, pp. 176–179, 2019, doi: 10.7753/ijsea0807.1002.
P. Liptai, E. Lumnitzer, M. Moravec, and M. Piňosová, “Analysis and Classification of Noise Sources of Conveyor Systems by Sound Visualizing on the Postal Package Sorting Line,” Adv. Sci. Technol. Res. J., vol. 12, no. 4, pp. 172–176, 2018, doi: 10.12913/22998624/100348.
M. D. Cookson and P. M. R. Stirk, “ZOOMORPHIC MOBILE ROBOT DEVELOPMENT FOR VERTICAL MOVEMENT BASED ON ESP 32- CAM Vladyslav,” 2019.
A. Latif, A. Z. Arfianto, H. A. Widodo, R. Rahim, and E. T. Helmy, “Motor DC PID system regulator for mini conveyor drive based-on matlab,” J. Robot. Control, vol. 1, no. 6, pp. 185–190, 2020, doi: 10.18196/jrc.1636.
A. Mordvintsev and K. Abid, “OpenCV-Python Tutorials Documentation,” OpenCV Python Doc., p. 269, 2017, [Online]. Available: https://media.readthedocs.org/pdf/opencv-python-tutroals/latest/opencv-python-tutroals.pdf
A. M. Elhanafi, R. Siregar, M. Yeni, and S. An-nissa, “Cryptography Application on RGB Overlapping Block Based PVD Using AES,” vol. 7, no. 3, pp. 2116–2124, 2022.
D. Sonny Febriyan and R. Dwi Puriyanto, “Implementation of DC Motor PID Control On Conveyor for Separating Potato Seeds by Weight,” Int. J. Robot. Control Syst., vol. 1, no. 1, pp. 15–26, 2021, doi: 10.31763/ijrcs.v1i1.221.
A. Shukla and R. Diwan, “Iot based load automation with remote access surveillance using esp 32 camand esp 8266 module,” Ann. Rom. Soc. Cell Biol., vol. 25, no. 3, pp. 6904–6914, 2021.
N. M. Syahrian, P. Risma, and T. Dewi, “Vision-Based Pipe Monitoring Robot for Crack Detection Using Canny Edge Detection Method as an Image Processing Technique,” Kinet. Game Technol. Inf. Syst. Comput. Network, Comput. Electron. Control, vol. 2, no. 4, pp. 243–250, 2017, doi: 10.22219/kinetik.v2i4.243.
E. Riba, D. Mishkin, D. Ponsa, E. Rublee, and G. Bradski, “Kornia: An open source differentiable computer vision library for PyTorch,” Proc. - 2020 IEEE Winter Conf. Appl. Comput. Vision, WACV 2020, pp. 3663–3672, 2020, doi: 10.1109/WACV45572.2020.9093363.
S. C. S. Yanti and I. Sulistiyowati, “An Inventory Tool for Receiving Practicum Report Based on IoT by Using ESP32-CAM and UV Sterilizer: A Case Study at Muhammadiyah University of Sidoarjo,” J. Electr. Technol. UMY, vol. 6, no. 1, pp. 49–56, 2022, doi: 10.18196/jet.v6i1.14607.
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