The conventional intelligent human-computer interaction system mainly uses visual models to obtain user interaction positioning information, but it has certain positioning errors, resulting in a small number of system tasks. Therefore, the design of an intelligent human-computer interaction system based on laser vision sensors is proposed. In the hardware design of the system, design a full range laser vision sensor with dual joints for pitch and rotation. In the software design of the system, distortion coefficients are added to the positioning information returned by sensors through the conversion between the world coordinate system and the camera coordinate system, correcting the interaction positioning of system users, and based on the number of interaction instructions given by users, interaction instruction task constraints are planned, and intention recognition technology is introduced to analyze the characteristics of interaction instructions and perform corresponding operations, achieving the human-machine interaction function of the system. The system performance test results show that the system completes a larger number of tasks under the number of multi-level interactive instructions, and the system runs better.