Recognition of underlying surface using a convolutional neural network on a single-board computer

Recognition of underlying surface using a convolutional neural network on a single-board computer

The results of the development of hardware and software system (micromodule), which detects and classifies underlying surface images of the Earth are presented. The micromodule can be installed on board of a light unmanned aerial vehicle (drone). The device has the size 5.2×7.4×3.1 cm, the weight52...

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Bibliographic Details
Main Authors: D. A. Paulenka, V. A. Kovalev, E. V. Snezhko, V. A. Liauchuk, E. I. Pechkovsky
Format: Article
Language:Russian
Published: National Academy of Sciences of Belarus, the United Institute of Informatics Problems 2020-09-01
Series:Informatika
Subjects:
image recognition
convolutional neural network
deep learning
single-board computer
mobile system
Online Access:https://inf.grid.by/jour/article/view/1053
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