IDENTIFICATION OF GRAPHIC SYMBOLS ON SCHEMATIC DIAGRAMS

Authors

  • Вукашин Иличић Autor

DOI:

https://doi.org/10.24867/08BE23Ilicic

Keywords:

Artificial Intelligence, Machine learning, Object-detection, Schematic diagram

Abstract

This paper covers the study of different appro­aches and algorithms related to the identification of sym­bols in schematic diagrams. The paper describes in detail the procedure on which the implementation of an appli­cation is based, which allows the user to detect desired symbols on an input scheme. The C# programming lan­guage was used in the final solution. During the develop­ment of the program, detailed analyzes and tests were conducted to test the application performances.

References

[1] Szeliski Richard, “Computer Vision”, Springer, 2010.
[2] Marco Alexander Treiber, “An Introduction to Object Recognition”, 2010.
[3] F. Chollet, "Deep Learning with Python", Manning Publications, 2017.
[4] A. Géron, "TensorFlow" 2nd Edition, O'Reilly Media, 2019.

Published

2020-05-28

Issue

Section

Electrotechnical and Computer Engineering