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Traditional UAV tilt photogrammetry measurement data has low efficiency, and the obtained photographic pictures have poor sharpness. In order to solve the above problem, a new UAV tilt photogrammetry technology was researched based on adaptive end-sliding film control. Using vertical image photography, data was initially collected and tracked, and the tilt photo images were recorded, combined with aerial triangulation. Method, to strengthen the dominance of the data itself, at the same time provide a better data source for the drone monitoring system, strengthen the system's internal data joint function, and pay attention to fully considering the occlusion relationship and occlusion conditions between the images in the process of multi-view image joint. After the joint collection of image data, data matching operations are performed on the tilted photographic data of the drone to improve the integration of the data, and the operability of the photographic image is enhanced through data collation. The drone is used as the main carrier of image transmission to further Strengthen the monitoring of oblique images, determine the image spatial position, increase the synovial control during the data concentration process, and determine the specific position of the auxiliary data through the coordinates of the control points and the orientation of the connecting lines. The experimental results show that the UAV tilt photogrammetry technology based on adaptive end-sliding film control can obtain clearer photographs, and the efficiency of the measurement data is increased by 25.21%.