RUS  ENG
Full version
JOURNALS // Program Systems: Theory and Applications // Archive

Program Systems: Theory and Applications, 2016 Volume 7, Issue 4, Pages 317–329 (Mi ps245)

Artificial Intelligence, Intelligent Systems, Neural Networks

Fire safety signs detection and classification by applying neural network

A. E. Kiryushina

Ailamazyan Program Systems Institute of RAS

Abstract: The paper describes a method for detection of fire safety signs, taken from a photo and a video which are received from cameras standing on board of an unmanned aerial vehicle or mobile device. An algorithm of fire safety signs allocation by applying a scanning window is highlighted. Also the paper gives the results of convolutional neural network studying and of characters classifying. (In Russian).

Key words and phrases: UAV, mobile vehicle, image scaling, convolutional neural network, object recognition, scanning window, object classification.

UDC: 519.682, 004.8

Received: 26.11.2016
Accepted: 28.12.2016



© Steklov Math. Inst. of RAS, 2024