Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Control Systems and Optimization Letters
Thanh-Phuc Nguyen
Ho Chi Minh City Univeristy of Technology and Engineering (HCM-UTE)
Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Vision-Based SCARA Robot System for Automated Gear Sorting Using Missing-Tooth Detection and Weight Measurement Tran-Thanh-Thuy Nguyen; Nguyen-Phung-Hung Tu; Thanh-Phuc Nguyen; Trung-Hieu Tran; Huu-Thang Dang; Tu-Duc Nguyen; Hoang-Lam Le; Thi-Hong-Lam Le; Thi-Ngoc-Thao Nguyen; Van-Hiep Nguyen; Thanh-Binh Nguyen; Trong-Bang Tran; Binh-Hau Nguyen; Van-Dong-Hai Nguyen; Duc-Huy Do
Control Systems and Optimization Letters Vol 4, No 3 (2026)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v4i3.301

Abstract

This paper implements an automated gear sorting framework that combines machine vision with in-line mass testing on a SCARA robot platform for industrial quality inspection. Gear flaws like missing tooth profiles or weight variations compromise transmission reliability, often leading to unexpected mechanical breakdown. The authors address this by pairing a vision-based defect algorithm - which catches missing teeth - with a load cell that flags hidden structural voids or density loss. Unlike single-camera systems that miss internal flaws, our approach brings optical and weight metrics together inside one SCARA architecture for multi-modal inspection. The cell ties image processing and kinematic models directly to end-effector control, driving real-time pick-and-place sorting. Benchtop testing over 50 consecutive runs showed 100% sorting accuracy under a ±1 g weight tolerance, maintaining consistent repeatability. Adding physical mass validation to visual checks significantly lowers the chance of passing defective internal parts. Using an Epson LS3-401S SCARA robot with ±0.02 mm repeatability, the prototype confirmed its operational stability in controlled tests, proving its potential for production-line integration.
Co-Authors Binh-Hau Nguyen Duc-Huy Do Hoang-Lam Le Huu-Thang Dang Nguyen-Phung-Hung Tu Thanh-Binh Nguyen Thi-Hong-Lam Le Thi-Ngoc-Thao Nguyen Tran-Thanh-Thuy Nguyen Trong-Bang Tran Trung-Hieu Tran Tu-Duc Nguyen Van-Dong-Hai Nguyen Van-Hiep Nguyen