Research on Stage Lighting Console Based on BP Neural Network Handwriting Recognition

摘要

With the development of the stage lighting industry and pattern recognition, the stage lighting console can learn from the algorithms in the field of pattern recognition to make it more powerful and more flexible. In this paper, the BP neural network is summarized as a carrier, and the BP neural network is summarized. The application of BP neural network algorithm in handwriting recognition is analyzed in detail, and the trained handwriting recognition model is applied to the stage lighting console. The user can determine the character number by handwriting recognition. At the same time, the console according to the lighthouse file in the level of the lamp, the vertical channel information, using the proposed beam track of the grid coding algorithm, the DMX encoded information output, the corresponding lamps can be based on horizontal, vertical channel position Information ran out of handwriting character movement trajectory effect. In this paper, the recognition rate of BP neural network is 96%, and the grid coding method proposed in this paper is simple and effective to control the light track.