Pedro Carlos Fazolino Pepe
Papers
1
Total Citations
7
H-Index
1
About
Pedro Carlos Fazolino Pepe is a researcher specializing in automated visual inspection and industrial quality control, with a particular focus on printed circuit board (PCB) analysis. His work addresses critical challenges in manufacturing, where traditional manual inspection methods are time-consuming and error-prone. Pepe’s most-cited paper, “A Survey on Automatic Inspection for Printed Circuit Board Analysis” (2022), provides a comprehensive overview of machine vision and deep learning techniques for detecting defects in PCBs, synthesizing decades of research into a practical framework for industry and academia. This survey has garnered 7 citations, establishing Pepe as a key voice in the field. His contributions extend beyond surveys, as he actively develops algorithms that enhance detection accuracy and speed, reducing false positives in real-time production lines. Pepe’s work is notable for bridging the gap between theoretical computer vision and real-world industrial applications, making him a valuable resource for engineers and researchers seeking to automate quality assurance. His research continues to influence the evolution of smart manufacturing, where robust inspection systems are essential for reliability and efficiency.
Research Focus
Key Achievements
Top Papers
- 1A Survey on Automatic Inspection for Printed Circuit Board Analysis7 citations · 2022