Garazi Alfaro
Papers
1
Total Citations
2
H-Index
1
About
Garazi Alfaro is a researcher specializing in computer vision and automated quality inspection systems, with a particular focus on manufacturing and electronics. Her most cited work, "Vision System for Automatic Inspection of Solder Joints in Electronic Boards" (2024), introduces a novel dual-camera setup—combining frontal and lateral views—to enhance the detection of defects in solder joints. This system, paired with optimized lighting, addresses a critical need in electronics manufacturing for reliable, non-destructive inspection. While her citation count is currently modest, her contribution is notable for its practical, industry-oriented approach, offering a scalable solution to improve production quality and reduce human error. Alfaro’s research bridges the gap between theoretical computer vision and real-world industrial applications, making her work valuable for engineers and researchers in automated inspection, quality control, and smart manufacturing. As her system gains adoption in production lines, her impact is expected to grow, positioning her as an emerging voice in applied vision systems for electronics.
Research Focus
Key Achievements
Top Papers
- 1