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After embedding information, the traditional system has a relatively high peak signal-to-noise, which makes the image segmentation result different from the actual effect, resulting in inaccurate ultrasonic diagnosis results of the control system. To solve this problem, an ultrasonic diagnostic robot control based on image segmentation based on edge detection is proposed system design. In the hardware structure part of the control system, the controller with STM32F103C8T6 single-chip microcomputer as the core uses a stepper motor driver model 3MC58, and the number of pulses is controlled by the angular displacement to achieve more accurate positioning. In software design, image edge features are detected by image segmentation technology to improve image segmentation accuracy and accuracy, and help diagnostic robots improve diagnostic functions. Analyze the peak signal-to-noise ratio at different embedding rates. After determining this value, compare the traditional system with the ultrasonic diagnosis function of the system. From the experimental results, it can be seen that the system can also be used when the peak signal-to-noise is relatively high after embedding information. Ensure that the image segmentation results are consistent with the actual results, the average segmentation effect of 0.8 bpp embedding rate image is 89%, and the average accuracy of ultrasound diagnosis is 88.6%, indicating that the system has good control performance and can provide equipment support for medical, aerospace and military fields.