Automatic detonator code recognition via deep neural network
作者：
Highlights：
• An expert and intelligent system is developed for detonator code recognition.
• Multi-scale concatenation of convolutions accelerates speed in inference.
• Progressive self-attention boosts performance in recognition.
• Release a publicly available annotated detonator image dataset.
• An end-to-end recognition accuracy of 99.18% is achieved.
摘要
•An expert and intelligent system is developed for detonator code recognition.•Multi-scale concatenation of convolutions accelerates speed in inference.•Progressive self-attention boosts performance in recognition.•Release a publicly available annotated detonator image dataset.•An end-to-end recognition accuracy of 99.18% is achieved.
论文关键词：Automatic detonator code recognition,Machine vision system,Convolutional neural network,Deep learning
论文评审过程：Received 22 November 2018, Revised 16 November 2019, Accepted 3 December 2019, Available online 4 December 2019, Version of Record 9 December 2019.
论文官网地址：https://doi.org/10.1016/j.eswa.2019.113121
