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All Journal IAES International Journal of Artificial Intelligence (IJ-AI)
Bewoor, Anand
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Computer Science & IT Engineering

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Deep learning-based classifier for geometric dimensioning and tolerancing symbols Bewoor, Laxmi; Bewoor, Anand; P. Hujare, Pravin; Rathod, Praveen; Yetekar, Vedant; Dollin, Shrish
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i2.pp1345-1354

Abstract

This research investigates the recognition of geometric dimensioning and tolerancing (GD&T) symbols using a deep learning model for object detection. GD&T, playing a pivotal role in engineering and manufacturing, provides essential specifications for product design and production. Manual processes for GD&T are often time-consuming and error prone. The study demonstrates outstanding accuracy in automating GD&T symbol recognition in engineering applications using YOLOv8. A carefully curated dataset, encompassing a wide range of GD&T symbols, was employed for training and evaluating the model. The YOLOv8 architecture, renowned for its robust performance, was meticulously fine-tuned to cater to the specific requirements of GD&T symbol detection. This research not only addresses the challenges in manual GD&T processes but also showcases practical implications for improved quality control and streamlined engineering workflows. By automating GD&T symbol recognition, this study contributes to the efficiency and precision crucial in the engineering and manufacturing domains.
Co-Authors Bewoor, Laxmi Dollin, Shrish P. Hujare, Pravin Rathod, Praveen Yetekar, Vedant