Abstract: Aiming at the problem of visual clarity of monitoring video in underground working face, this paper first proposes a dust-proof automatic drainage method for monitoring camera. The hydrophobic coating is used to prepare the camera window, which can effectively reduce the adhesion of coal dust and water mist, and improve the visual monitoring effect of monitoring video screen. Aiming at the problem of monitoring video image quality degradation caused by dust fog under working condition of working face, a real-time defogging algorithm for monitoring video image is proposed. After real-time defogging, the peak signal-to-noise ratio of the monitoring image is maintained at about 28.2, which makes the feature information of the monitoring image well maintained and enhances the visual effect of the working face monitoring. In the research process of visual distortion correction technology of surveillance video image, a correction method of surveillance video image in working face is proposed, which makes full use of the internal feature information of video image and realizes the edge distortion correction of surveillance video image without external calibration. Experiments show that the working face monitoring video clarity technology proposed in this paper can meet the actual production needs to a certain extent and improve the visualization effect of working face monitoring video.