Dibet Garcia Gonzalez

American Sentinel University, Centro de Computação Gráfica

Papers

Total Citations

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About

Dibet Garcia Gonzalez is a researcher at the forefront of applying artificial intelligence and computer vision to industrial quality inspection, with a particular focus on the automotive and textile manufacturing sectors. Her work addresses the critical challenge of replacing inefficient, error-prone manual inspection processes with automated, AI-driven systems. In her 2025 study on reflective automotive parts, she developed an automated optical inspection system that has already garnered 6 citations, demonstrating the immediate relevance of her research to high-precision manufacturing. Her earlier, equally cited work from 2022 tackled the textile industry, where she pioneered a computer vision method for analyzing fabric hairiness in pile fabric products. This contribution is particularly significant as it directly addresses a long-standing quality control problem in textile manufacturing. By leveraging deep learning and image processing techniques, Gonzalez has established herself as a key innovator in industrial AI, creating practical solutions that enhance productivity and quality assurance. Her research bridges the gap between cutting-edge computer vision technology and real-world manufacturing needs, making her work essential reading for engineers and researchers developing the next generation of smart factory systems.