This paper presents an image processing interface designed using monocular visual servoing approach to detect the object in the workspace for moving the object to another location by five-axis robot arm. Basic image processing techniques were used for object recognition and position determination. The inverse kinematics solution of the robot arm was performed with lookup table method and Artificial Neural Networks (ANN). Both Multi-Layer Perceptron (MLP) and Radial-Basis Function Network (RBFN) are used based on the forward kinematics solution. After the robot’s inverse kinematics solution was completed, the determined joint angle values were directed to the EDUBOT robot arm and then, moving the object to the desired location was realized successfully.