Implementation of YOLOv5 and Vision OCR Hybrid Model for GD&T Recognition-Reference-Cited by-同舟云学术

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Implementation of YOLOv5 and Vision OCR Hybrid Model for GD&T Recognition

Published:2024-08-10 Issue: Volume:35 Page:18-23
ISSN:
Container-title:2024 IEEE 6th Symposium on Computers & Informatics (ISCI)
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Author:

Mohd Yazed Muhammad Syukri¹,Fadzrin Ahmad Shaubari Ezak¹,Yap Moi Hoon²

Affiliation:

1. Universiti Tun Hussein Onn Malaysia (UTHM),Faculty of Computer Science and Information Technology,Department of Multimedia,Batu Pahat,Johor,Malaysia

2. Manchester Metropolitan University,E116b John Dalton Building,Department of Image Vision and Computing,United Kingdom

Funder

Ministry of Higher Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10666969/10667684/10667691.pdf?arnumber=10667691

Reference17 articles.

1. Integration of Deep Learning for Automatic Recognition of 2D Engineering Drawings

2. Geometrical Dimensioning and Tolerancing for Design, Manufacturing and Inspection

3. New trends on digitisation of complex engineering drawings

4. A Datum-Based model for Practicing Geometric Dimensioning and Tolerancing;Sun;Journal of Engineering Technology,2018

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