R-CNN

1 article · search the full text for this term

• Published Subscription Review Article 11 Mar 2026

  Design and Development of Screw Detection System : A case study

  By Shruti Sabale, Shraddha Bhawar, Dinesh Gujar, Payal Rajput, S.P. Palekar

  Abstract: This study explores the design of a vision-based screw detection and orientation system for industrial automation, inspection, and robot disassembly. By integrating machine learning algorithms like region-based convolutional neural networks (R-CNN) with traditional image processing and impedance sensing, the system performs real-time screw presence detection, head type identification, and alignment. Three key technologies—deep learning classification, edge-based geometric analysis, and impedance verification—are integrated into a single modular system. The findings indicate …

  Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 30–36 Read article →