Multidisciplinary Journal of Science and Technology

TRAFFIC SIGNS RECOGNITION SYSTEM DEVELOPMENT

Vladyslav Nikitin

Department of Computer-Integrated Technologies, Automation and Robotics, Kharkiv National University of Radio Electronics, Ukraine

Svitlana Maksymova

Department of Computer-Integrated Technologies, Automation and Robotics, Kharkiv National University of Radio Electronics, Ukraine

Vladyslav Yevsieiev

Department of Computer-Integrated Technologies, Automation and Robotics, Kharkiv National University of Radio Electronics, Ukraine

##semicolon## Tenserflow, Machine learning, Object recognition, Usability, Computer Vision.

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सार

In this article, the authors consider the feasibility of developing systems for recognizing road signs, as well as road markings, registration and recognition of obstacles, and other traffic objects. The authors consider the possibility of using artificial neural networks to solve this problem. In particular, they propose using a multilayer perceptron to achieve sufficient recognition accuracy. In the future, it is planned to develop software for the implementation of the developed road sign recognition system.

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