Traffic Sign Recognition Using Convolutional Neural Networks with a Tkinter-Based Interactive Interface

Authors

  • Zahraa Mousa Saad College of administration and Economics, University of Misan, Amarah, Iraq

Keywords:

Real-Time Processing, Rectified Linear Unit, Convolutional Neural Networks, SoftMax Activation Function, Stochastic Gradient Descent, Rеgion Convolutional Nеural Nеtworks, Support Vеctor Machinе

Abstract

Balancing between innovation in Artificial Intelligence and Cybersecurity is crucial for ensuring information security and successful modern technological applications in Iraq. As it achieving these objectives will contribute in building a secure cyber environment supporting innovation and achieves sustainable development in Iraq. And the importance of research in enhancing cybersecurity in Iraq and highlights to future challenges and the importance of continuing research in this field. So, previous studies have shown that Iraq faces major challenges in the field of cybersecurity, especially with increasing use of artificial intelligence technologies. And reflect the results the need to develop comprehensive strategies enhance from security effectiveness with a focus on: 1) Cooperation between the public sectors and private sectors: to enhance mutual understanding between government institutions and private companies around the importance of cybersecurity. 2) Training human resources: from through educational programs targeted to ensure the availability of specialists in these fields. 3) Investment in research and development: to ensure that remain proposed solutions for facing cybersecurity threats advanced and effective. 4) Developing appropriate legislation: to ensure data protection and strengthen the legal frameworks necessary for investing in artificial intelligence technologies.

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2026-02-11

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Saad, Z. M. (2026). Traffic Sign Recognition Using Convolutional Neural Networks with a Tkinter-Based Interactive Interface. CENTRAL ASIAN JOURNAL OF MATHEMATICAL THEORY AND COMPUTER SCIENCES, 7(2), 1–20. Retrieved from https://cajmtcs.casjournal.org/index.php/CAJMTCS/article/view/879

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