Research on Stage Lighting Console Based on BP Neural Network Handwriting Recognition
- DOI
- 10.2991/msmee-17.2017.247How to use a DOI?
- Keywords
- BP neural network, handwriting recognition, stage lighting console, built-in effect
- Abstract
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.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Linhan Dai AU - Tiantian Tang AU - Zhijian Yin PY - 2017/05 DA - 2017/05 TI - Research on Stage Lighting Console Based on BP Neural Network Handwriting Recognition BT - Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017) PB - Atlantis Press SP - 1328 EP - 1335 SN - 2352-5401 UR - https://doi.org/10.2991/msmee-17.2017.247 DO - 10.2991/msmee-17.2017.247 ID - Dai2017/05 ER -