Abstract: As the carrier of vision for intelligent inspection robots, the pan/tilt system carries the core functions of the inspection robot. The traditional PTZ operation mode based on preset positions appears to be weak in substations, power plants and other complex environments. Aiming at the problem of less pre-position and slow response of the PTZ in complex environments, a PTZ control strategy based on Faster R-CNN and fuzzy PID is proposed.To detect and identify targets in the PTZ transmission image using Faster R-CNN. According to the position relationship between the target and the picture, the motion direction of the PTZ is judged, and the error of the center coordinate is calculated and sent to the fuzzy PID controller for parameter adjustment to achieve the purpose of controlling the PTZ. Experimental results show that the use of Faster R-CNN for target detection and identification can achieve an accuracy of 90.8% and run in milliseconds. The fuzzy control enables PTZ to respond quickly and run smoothly, and the application results is good.