Beschreibung
At the current decades, security robot has become one of the important researches in the many field.A number of robots have been designed to provide safety, convenience, efficiency and entertainment for life in the 21st century. This book focuses on design and implementation of mobile robot with three subsystem which are 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 (FPAA) has been used to control the motion of the robot. A combination of principle component analysis (PCA) and linear discriminate analysis (LDA) feature extraction algorithms with support vector machine (SVM) 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.
Autorenporträt
Mustafa Zuhaer Nayef Al-Dabagh received the B.Eng. and M.Tech. degrees in computer Technology Engineering from Technical College of Mosul, Mosul, Iraq, in 2008 and 2013. His current research interests include robotic and face analysis/recognition, image processing and pattern recognition. Mr. Mustafa is a Member of IEEE.
Herstellerkennzeichnung:
BoD - Books on Demand
In de Tarpen 42
22848 Norderstedt
DE
E-Mail: info@bod.de
