Mitul Tailor

Loughborough University

Papers

2

Total Citations

4

H-Index

2

About

Dr. Mitul Tailor is a researcher focused on advancing automated visual inspection and quality control in manufacturing. His work centers on developing intelligent, multi-sensor robotic systems for surface defect detection and quantification, particularly for high-precision components. Tailor’s major contributions include the design of a confident, automated framework that integrates 3D analysis to identify and measure defects, addressing the growing industrial demand for reliable, non-destructive inspection. His research is critical for industries where even minor surface flaws can lead to part rejection, improving both accuracy and efficiency in mass production. Among his notable works are “The evaluation of a multi-sensor robotic visual inspection system” and “An Intelligent and Confident System for Automatic Surface Defect Quantification in 3D,” each cited twice. While his citation counts are modest, his work represents foundational steps toward more robust, automated quality assurance systems, offering practical solutions for modern manufacturing challenges.

Research Focus

Key Achievements

2
H-Index
2
Papers
4
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
The evaluation of a multi-sensor robotic visual inspection system
2 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Loughborough University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago