Journal of Fuzzy Systems and Control (JFSC)
Vol. 4 No. 2 (2026): Vol. 4 No. 2 (2026)

Development of a Vision-Based Color Sorting and Packaging System Using a 3-DOF Robotic Arm and PLC Control

Kha-Vy Ngo (Ho Chi Minh City University of Technology and Engineering (HCM-UTE))
Hien-Dat Phan (Ho Chi Minh City University of Technology and Engineering (HCM-UTE))
Nguyen-Thanh-Phong Dang (Ho Chi Minh City University of Technology and Engineering (HCM-UTE))
Chi-Huy Lu (Ho Chi Minh City University of Technology and Engineering (HCM-UTE))
Quoc-Thinh Nguyen (Ho Chi Minh City University of Technology and Engineering (HCM-UTE))
Minh-Thang Vo (Ho Chi Minh City University of Technology and Engineering (HCM-UTE))
Binh-Hau Nguyen (Ho Chi Minh City University of Technology and Engineering (HCM-UTE))
Van-Tien Tran (Ho Chi Minh City University of Technology and Engineering (HCM-UTE))
Bao Pham (Ho Chi Minh City University of Technology and Engineering (HCM-UTE))
Long-Phi Pham (Ho Chi Minh City University of Technology and Engineering (HCM-UTE))
Nguyen-Duc-Duong Le (Ho Chi Minh City University of Technology and Engineering (HCM-UTE))
Quoc-Khanh Trinh (Ho Chi Minh City University of Technology and Engineering (HCM-UTE))
Tuan-Kiet Nguyen (Ho Chi Minh City University of Technology and Engineering (HCM-UTE))



Article Info

Publish Date
27 Jul 2026

Abstract

Automated sorting and packaging play an important role in improving manufacturing productivity while reducing manual labor. An integrated automation platform for color sorting and packaging was designed and implemented by combining a three-degree-of-freedom (3-DOF) robotic arm, machine vision, and PLC-based control. Product images were acquired by a webcam for color recognition and position estimation, while system coordination was performed by a Siemens S7 1214 PLC controlling the conveyor, robotic arm, pneumatic capping mechanism, and supervisory functions. Real-time monitoring and basic operating functions were provided through an Android application communicating via the Modbus RTU protocol. Cycle testing demonstrated a theoretical capacity of 144 items per hour based on a 25-second processing duration and a 70% success rate. Parallel task scheduling in the PLC reclaimed approximately 2.5 seconds per run by removing idle delays between actuators. The physical rig brings together camera-based detection, PLC logic, robotic handling, and pneumatic tooling on one bench. Such performance benchmarks validate the design for academic experimentation and small-scale manufacturing.

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Journal Info

Abbrev

jfsc

Publisher

Subject

Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

Description

Journal of Fuzzy Systems and Control is an international peer review journal that published papers about Fuzzy Logic and Control Systems. The Journal of Fuzzy Systems and Control should encompass original research articles, review articles, and case studies that contribute to the advancement of the ...