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Track fastener detection based on vehicle image acquisition system is a key technology to ensure train operation safety. However, due to the effect of low-frequency mechanical vibration and external light, routine acquisition and detection method usually gets poor-quality image. To solve this problem, a vibration compensation method based on machine vision system model was proposed. A lighting model composed of linear array camera, laser light source and fastener area were first set up to eliminate interference from external light. Combined with frequency domain analysis and multi-sensor data fusion technology, the compensation algorithm was designed to eliminate the interference of vibration information. In the end, an experimental platform was set up for verification. Results show that the above method can not only reduce external light effect, but also correct image offset that is within ±5°. What’s more, the contrast of the fastener area is more than 10 times higher than before.