Abstract
With the gradual improvement of coal mining automation, visual technology is more and more widely used in coal mine production line. Especially in fully mechanized coal face, visual technology provides a guarantee for reducing the working face personnel and remote control. Aiming at the application scene of fully mechanized coal face, the key technologies such as visual imaging algorithm, visual data compression algorithm, panoramic reconstruction technology of fully mechanized coal face and reliable video data storage technology are combed. The distortion correction, image registration, image fusion and video data compression methods based on depth learning technology in panoramic video surveillance system of fully mechanized coal face are mainly expounded. It effectively solves the problems of large bandwidth, incomplete video storage, non-intuitive working picture of shearer and uneven video splicing picture. At the same time, the development direction of video surveillance system in fully mechanized coal face is discussed.
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