TITLE

Intelligent Surveillance Robot with Obstacle Avoidance Capabilities using Neural Network

TYPE

Journal Article

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.

Citation

Budiharto D. W. (2015). Intelligent Surveillance Robot with Obstacle Avoidance Capabilities using Neural Network. Computational Intelligence and Neuroscience, 2015 (1), 1-5.

Keywords

Computer vision; Face recognition; Monitoring; Neural networks; Robots; Security systems Avoid obstacles; Back propagation neural networks; Dynamic environments; Indonesia; Intelligent surveillance; Surveillance robots; Ultrasonic distance sensors;

Published On

Computational Intelligence and Neuroscience

Author

Copyright © BINUS UNIVERSITY. All rights reserved.