IDENTIFICATION OF GRAPHIC SYMBOLS ON SCHEMATIC DIAGRAMS
DOI:
https://doi.org/10.24867/08BE23IlicicKeywords:
Artificial Intelligence, Machine learning, Object-detection, Schematic diagramAbstract
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.
[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.
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Published
2020-05-28
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Section
Electrotechnical and Computer Engineering