Інтерактивна система автоматичного розпізнавання статичних об’єктів на цифрових зображеннях

Abstract

The master’s degree work aims to develop an interactive system of automatic recognition of static objects in digital images. During the execution of the master’s degree work, the main algorithms and methods of recognition of static objects and the classification of their initial information were analyzed, a comparative analysis was performed and their advantages and disadvantages were identified. An interactive system for the automatic recognition and classification of static objects in digital images has been developed, in the form of an application for personal computers based on Windows OS, using a neural network, in accordance with the task using modern methods of developing applications for personal computers. The following technology stack was used: • For user interface impementation: C#, WPF; • For module for recognizing static objects implementation: Python; • For neural network implementation: Python, TensorFlow. Developed application was tested in accordance with the main software testing techniques.