The intelligent robotic aiming system proposed in this thesis can integrate two different program languages of Arduino and Python to achieve the control purpose. The control objective of this thesis is to use the computer vision tracking to find the target in the complicated background, and manipulate the two-axis robotic arm to achieve the purpose of aiming. Therefore, a scaled-down platform was built up for practical experiments. We use an image processing method to process the picture, in order to accurately aim and hit our target..For the aiming method, the fuzzy control method is employed to achieve the motor manipulation of the two-axis robot arms. This control method is easy to understand, and it is enough for simulating short-distance aiming. Finally, We will combine the above functions and software, and at the end there will be a few experiments to summarize. Keywords: computer vision, robotic arm, intelligent aiming system