TY  - JOUR
PY  - 2015//
TI  - Intelligent surveillance robot with obstacle avoidance capabilities using neural network
JO  - Computational intelligence and neuroscience
A1  - Budiharto, Widodo
SP  - e745823
EP  - e745823
VL  - 2015
IS  - 
N2  - 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. <br><br>RESULTS show the effectiveness of our method and we evaluate the performance of the system.<p />  <p>Language: en</p>
LA  - en
SN  - 1687-5265
UR  - http://dx.doi.org/10.1155/2015/745823
ID  - ref1
ER  -