基于人工智能的安全预警装置在纸卷仓储的应用

Application of Safety Warning Device Based on AI in Paper Roll Storage

关键词:  制浆造纸  神经网络  安全预警  人工智能

Key Words:pulp and papermaking  neural network  safety warning  artificial intelligence

摘要:针对制浆造纸厂成品库区纸卷仓储系统，本课题利用人工智能技术，对深度学习模型多任务级联卷积神经网络进行训练，通过人眼闭合百分比算法结合相关文件，判断搬运员疲劳状态和注意力集中情况，实现实时疲劳检测、搬运员姿势检测、注意力检测和摄像头检测于一体的预警装置。

Abstract:Aiming at the paper roll storage system in the finished product warehouse area of pulp and paper mill， artificial intelligence technology was used to train the depth learning model multi task cascade convolution neural network. Through Percentage of Eyelid Closure over the Pupil over Time algorithm combined with relevant documents， the fatigue state and concentration of the carrier were judged to achieve the functions of real-time fatigue detection， carrier posture detection， attention detection and camera detection in the whole one of the early warning devices.