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In practical application scenarios, omnidirectional mobile industrial robots are often in environments with high noise levels, resulting in poor performance of multi-objective tracking. Therefore, a dual loop sliding mode control based omnidirectional mobile industrial robot multi-objective point tracking control system is designed. The system hardware is designed with a main controller module and a main controller chip; Configure a data acquisition card in the data acquisition module to implement frame data acquisition; In the wireless communication module, Wi Fi wireless communication technology is used to achieve remote control and data transmission functions of the system. The system software design is based on an improved object detection network using GhostNet, implementing multi object point detection. Design a multi-objective point tracking algorithm based on the improved SORT algorithm to achieve multi-objective point tracking. Design a multi-objective point tracking controller based on dual loop sliding mode control to achieve multi-objective point tracking control. The test results show that in the case of static obstacles, the average batch accuracy of target point tracking for the designed system in the warehouse scenario is 97.23%, and the average target point tracking accuracy in the outdoor scenario is 96.37%; In the case of dynamic obstacles, the target point tracking accuracy of the system in both scenarios is slightly lower than that in the case of static obstacles.