Binh-Hau Nguyen
Posts and Telecommunications Institute of Technology

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

Development of an Automated PCB Inspection, Error Statistics, and Classification System Truong-Nguyen Phan; Thi-Ngoc-Tram Tran; Thanh-Viet Ho; Binh-Hau Nguyen; Minh-Tri Hoang; Hai-Nam Tran; Nhat-Nam Nguyen; Nguyen-Cong-Anh Tran; Le-Huu-Tri Do; Thi-Ngoc-Thao Nguyen; Nam-Long Tran; Duong-Thuan Nguyen; Van-Huy Le; Van-Tuan Nguyen; Huynh-Anh-Tuan Pham
Journal of Fuzzy Systems and Control Vol. 4 No. 1 (2026): Vol. 4 No. 1 (2026)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v4i1.353

Abstract

In the electronics manufacturing industry, Printed Circuit Boards are critical to electronic devices, and their quality directly affects product performance and reliability. Common assembly defects, such as missing components, misalignment, or wrong parts, must be detected promptly to reduce waste and maintain reputation. In Vietnam, PCB inspection is largely manual, limiting speed, accuracy, and consistency. The system integrates a YOLOv5-based machine vision module for detecting missing and misaligned components, a Siemens S7-1200 PLC for controlling an XY gantry and conveyor system, and a web interface for real-time monitoring. The primary contributions include: a fully integrated cyber-physical prototype suitable for educational and small-scale industrial use; a novel method for component misalignment detection using fiducial-based relative positioning; and seamless communication between vision, control, and HMI modules. Experimental results on two common PCB types, L298N and ULN2003, demonstrate a classification and error detection accuracy of up to 93%. The system achieves a throughput suitable for laboratory and small-batch production, with a positioning accuracy of ±0.5 mm. The system aims to achieve high accuracy, fast processing, and practical applicability in production lines.
PLC–SCADA Based Control of Booster Pumps with Alternating Operation and PID Regulation Viet-Truong Nguyen; Anh-Son Hoang; Van-Dong-Hai Nguyen; Thi-Quynh-Huong Hoang; Ho-Anh-Vu Ho; Tan-Tai Tran; Mai-Bao Trung; Le-Cong-Vinh Nguyen; Thi-Thuy-Duong Do; Binh-Hau Nguyen; Le-Phuc-Khuong Nguyen; Duc-Hieu Nguyen; Duy-Thinh Le
Journal of Fuzzy Systems and Control Vol. 3 No. 3 (2025): Vol. 3 No. 3 (2025)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v3i3.336

Abstract

In the current context, the demand for clean water in daily life and in industrial environments is increasing, showing that the need for improved operation of water supply systems as well as management efficiency is essential. The pressure pump system is one of the important factors that help improve the stability of the water supply demand. The system helps ensure the quality of the water supply, has the function of maintaining stable pressure in the pipeline, avoiding sudden pressure changes that damage equipment, causing unsafe incidents at the operating site, and for users. This paper presents an experimental study on a booster pump system model integrated with programmable logic controller (PLC) and supervisory control and data acquisition (SCADA) technologies, along with a human-machine interface (HMI), to automate operation, alternate pump operation, apply proportional integral derivative (PID) control without an expansion tank, and monitor the system without manual or semi-automatic intervention. Based on the experiment and evaluation methods, the study shows the potential for improving the pressure pump system in the wastewater treatment and domestic water supply industry.
Integrated Vision-PLC Control Architecture for High-Performance Delta Robot Sorting in Industrial Automation Kim-Thanh Vo; Bui-Duc Nghia; Huy-Vu Tran; Thanh-Tuan Huynh; Huy-Bao Nguyen; Phong-Luu Nguyen; Van-Tuan Nguyen; Anh-Quoc Phan; Son-Thanh Phung; Van-Dong-Hai Nguyen; Binh-Hau Nguyen; Van-Hiep Nguyen; Thanh-Binh Nguyen
Scientific Journal of Engineering Research Vol. 2 No. 1 (2026): March
Publisher : PT. Teknologi Futuristik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64539/sjer.v2i1.2026.337

Abstract

The rapid development of automation and robotics has increased the demand for high-performance industrial systems, in which Delta robots play a crucial role due to their lightweight structure, high speed, and precise positioning capability. This study aims to design, implement, and evaluate a Delta robot-based product classification system integrating PLC S7-1200 control and Machine vision. The proposed system employs a camera to detect object shape, color, and position on a conveyor, while a PC processes the image data and computes the robot’s inverse kinematics before transmitting control commands to the PLC. A hardware model of the Delta robot was designed and fabricated, and a dual-mode control application was developed to monitor and operate the robot in real time. Experimental results demonstrate that the system achieves stable operation, with a classification speed of up to 20 products per minute and an accuracy of approximately 95.7% for picking and placing tasks. The findings confirm the feasibility and effectiveness of integrating vision-based detection with high-speed parallel robot control for industrial sorting applications. The study also provides a foundation for further optimization in processing speed, mechanical design, and advanced image-processing techniques to enhance system performance in practical manufacturing environments.