Abstract:Aiming at the problems that are difficult to deal with quickly when aircraft maintenance personnel encounter difficult maintenance problems, a remote guidance system for aircraft maintenance based on HoloLens is proposed. The improved $ P algorithm is used to mark the time of the marked gesture point sequence. Through the rapid recognition of the expert 's hand-painted strokes, combined with the spatial perception ability of the HoloLens device, the three-dimensional model annotation is placed. This new index annotation method reduces the time for the expert to call annotations from the model library. At the same time, combined with two-dimensional labeling, key maintenance parts are marked by obtaining the selected coordinate information and depth information. Increased understanding by maintenance personnel of specific repair areas and priority repair processes given by experts when wearing HoloLens equipment. Experiments are conducted on the improved $P algorithm rate. The experiments verify that the improved $P algorithm in this paper improves the gesture recognition rate, and the accuracy of two-dimensional annotation points is also guaranteed, which proves the availability of the maintenance remote guidance system.