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With the extension of the operation time of the Port Lane gate, the noise signal will gradually cover up the real signal, resulting in the emergence of signal mixing behavior, resulting in the low accuracy of the mechanical action fault detection of the lifting rod of the Port Lane gate, a remote fault detection method of the Port Lane gate based on machine vision is proposed. The CCD sensor is used to maximally scan and recover the mechanical action fault signal of the lifting rod of the Port Lane gate, select and process the key application lens equipment, and complete the hardware structure design of machine vision detection. Input the remote fault image of the Port Lane gate, obtain the specific histogram correction processing results according to the image registration principle, and splice and preprocess the remote fault image. On this basis, the actual fault characteristics of the lifting rod mechanical action of the Port Lane gate are analyzed. The detection blind sources are separated by means of non-uniform sampling of the signal parameters, and then combined with the fault signal to output the signal-to-noise ratio value to realize the remote detection of the lifting rod mechanical action fault of the Port Lane gate. The experimental results show that the detection accuracy of the mechanical action fault detection of the lifting rod of the Port Lane gate based on the machine vision detection method can reach 90.4%, and the IMF component value is large, which can effectively suppress the influence of the noise signal on the coverage of the real signal and improve the fault detection accuracy of the mechanical action of the lifting rod of the Port Lane gate.