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Objects Detection and Recognition System Using Artificial Neural Networks and Drones
Dymitr PIETROW and Jan MATUSZEWSKI
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DOI:10.17265/2328-2223/2018.01.007
The paper presents the digital image objects detection and recognition system using artificial neural networks and drones. It contains description based on the example of person identification system where face is the key of object processing. It describes the structure of this system and components of the learning sub-system as well as the processing sub-system (detection, recognition). It consists of the description and examples of learning and processing algorithms and applied technologies. The results of calculations of efficiency and speed of each algorithm are presented in the table and appropriate characteristics. The article also describes the possibilities of further system developments.
Neural networks, detection, recognition, drones.