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With the development of information technology, vehicle remote control has become a prospective research in academic circles. Based on the reasonable use of computer vision technology and the intelligent algorithm of fuzzy PID control, the vehicle remote control system is established in this study, in order to realize the real-time monitoring of the vehicle device and to control the vehicle through the remote control center when the dangerous situation occurs. In the experiment, the relevant parameters of tracked vehicle are designed to verify the effectiveness of the control system. Compared with the fuzzy PID control algorithm, the results show that both straight-line and curve-driven operations vehicle control system, PID vehicle control system all adjust the oscillation large, the adjustment time is long; and the vehicle control system based on BP neural network algorithm also has many problems; therefore, the vehicle control system based on fuzzy PID control algorithm has high precision and strong applicability. This research has certain guiding value to the vehicle remote control research.