Intelligent surveillance robot

Security robot has become one of the most important research topics over the past decades. A number of robots have been designed to safeguard human life and wealth. This paper focuses on design and implementation of mobile robot with three subsystems: The obstacle avoidance, face recognition and detection leakage of combustible gases. In the first subsystem, an implementation of artificial neural network on field programmable analog array has been used to control the motion of the robot. A combination of principle component analysis and linear discriminate analysis feature extraction algorithms with support vector machine classifier is used in the second schema. The third subsystem uses MQ4 sensor with addition circuit to detect the leakage of combustible gases. Finally, the MATLAB environment is used to implement the proposed subsystems and the experimental results demonstrate the efficiency and robustness of these subsystems.