Minh Quan Tran

Vietnam National University Ho Chi Minh City

Papers

Total Citations

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About

Minh Quan Tran is a researcher specializing in computer vision and its industrial applications, particularly within the energy sector. His work focuses on developing automated visual inspection systems for critical infrastructure, with a major contribution being a computer vision system designed to read analog gauges at power substations. This system intelligently interprets oil level, winding temperature, and SF6 gas density gauges—each presenting unique visual challenges—by employing distinct algorithms tailored to their specific characteristics. This research, published in 2021 and garnering 5 citations, addresses a vital need for remote monitoring and safety in hazardous environments, reducing the need for human inspectors. Tran’s work exemplifies the practical deployment of machine learning and image processing to modernize legacy equipment, enhancing operational efficiency and reliability in power systems. His contributions are a valuable resource for students and researchers interested in bridging the gap between cutting-edge computer vision and real-world industrial automation.