Angelos Nektarios Arvanitis
Papers
1
Total Citations
8
H-Index
1
About
Angelos Nektarios Arvanitis is a researcher at the forefront of intelligent manufacturing, specializing in machine vision and quality control for Industry 4.0. His seminal work, "Automating Quality Control Based on Machine Vision Towards Automotive 4.0" (2022), has garnered 8 citations, establishing a foundational framework for integrating AI-driven visual inspection into automotive production lines. This contribution addresses critical challenges in real-time defect detection, enabling higher precision and efficiency in automated assembly processes. Arvanitis’s research bridges computer vision, deep learning, and industrial automation, offering scalable solutions that reduce human error and operational costs. His work is particularly notable for its direct applicability to smart factories, where it supports the shift toward fully autonomous quality assurance. By combining theoretical rigor with practical implementation, Arvanitis has positioned himself as a key voice in the evolution of manufacturing technologies, inspiring further exploration into adaptive vision systems and digital twin integration.
Research Focus
Key Achievements
Top Papers
- 1