Zaynab Zouhal

Papers

2

Total Citations

9

H-Index

2

About

Zaynab Zouhal is a researcher at the forefront of integrating advanced vision and sensor technologies into industrial manufacturing, with a core focus on the transition to Industry 4.0. Her work directly addresses the critical challenge of modernizing traditional factory processes, particularly in the domain of industrial inspection. Her most impactful contribution, the 2021 paper "Approach for industrial inspection in the context of Industry 4.0" (7 citations), provides a foundational framework for companies seeking practical steps to digitize and automate quality control. Building on this, her research on "In-Situ Control of Conformity Using Vision Sensors Embedded on Industrial Robots" (2 citations) tackles a specific, high-value problem: enabling real-time, in-process measurement of machined parts directly on the robot. This eliminates the need for manual post-process checks with calipers, dramatically reducing errors and production delays. By pioneering the use of embedded vision sensors for in-situ conformity control, Zouhal is helping to close the loop between machining and measurement, a key step toward fully autonomous, self-correcting smart factories. Her work is a vital guide for engineers and researchers navigating the practical implementation of Industry 4.0.

Research Focus

Key Achievements

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Approach for industrial inspection in the context of Industry 4.0
7 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 6

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago