Developing Sorting Algorithm for SmartEdu Conveyor using Computer Vision Technology

Authors

  • Ridwan Politeknik Manufaktur Bandung
  • Yuliadi Erdani Politeknik Manufaktur Bandung
  • Sarosa Castrena Abadi Politeknik Manufaktur Bandung
  • Mochammad Dimas Anugrah Politeknik Manufaktur Bandung
  • Abdur Rohman Harits Martawireja Politeknik Manufaktur Bandung
  • Rizqi Aji Pratama Politeknik Manufaktur Bandung

DOI:

https://doi.org/10.52958/iftk.v21i3.12434

Keywords:

Sorting algorithm, MQTT, Nod Red, Rapsberry Pi 4, Yolo V8

Abstract

This study aims to develop a sorting algorithm for the SmartEdu Conveyor using computer vision technology to enhance accuracy and efficiency in automated sorting systems. The system integrates a Raspberry Pi 4 as the main processing unit and employs the YOLOv8 object detection algorithm to classify geometric objects moving on a conveyor belt. Images captured by an overhead camera are processed in real time, and the results are transmitted through the MQTT protocol using the Paho MQTT library. Node-RED functions as the Human-Machine Interface (HMI), while a Programmable Logic Controller (PLC) drives double-acting pneumatic cylinders to perform the sorting mechanism. Experimental tests conducted at three conveyor speeds demonstrate that the system achieves an average accuracy confidence of 89.38% at 1 cm/s, 78.57% at 1.7 cm/s, and 59.28% at 2.3 cm/s. Further performance evaluation using the Precision–Recall curve yields a mean Average Precision (mAP) of 0.993 at an Intersection over Union (IoU) threshold of 0.5, indicating highly accurate object detection capability. The proposed YOLOv8-based sorting system demonstrates reliable real-time operation, high precision, and robust communication between vision and control modules. It will be implemented as a SmartEdu teaching aid prototype to support automation learning and industrial training applications. This work contributes to educational automation by integrating an open-source vision algorithm with industrial control architecture.

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Published

2025-12-03

Issue

Vol. 21 No. 3 (2025): Desember 2025

Section

INFORMATIK

License

Copyright (c) 2025 Ridwan, Yuliadi Erdani, Sarosa Castrena Abadi, Mochammad Dimas Anugrah, Abdur Rohman Harits Martawireja, Rizqi Aji Pratama

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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