Citation

Budiharto W. Comput. Intell. Neurosci. 2015; 2015: e745823.

Affiliation

School of Computer Science, Bina Nusantara University, Jakarta, Indonesia.

Copyright

(Copyright © 2015, Hindawi Publishing)

DOI

10.1155/2015/745823

PMID

26089863

PMCID

PMC4458294

Abstract

For specific purpose, vision-based surveillance robot that can be run autonomously and able to acquire images from its dynamic environment is very important, for example, in rescuing disaster victims in Indonesia. In this paper, we propose architecture for intelligent surveillance robot that is able to avoid obstacles using 3 ultrasonic distance sensors based on backpropagation neural network and a camera for face recognition. 2.4 GHz transmitter for transmitting video is used by the operator/user to direct the robot to the desired area.

RESULTS show the effectiveness of our method and we evaluate the performance of the system.

Language: en