摘要
Abstract
In this paper,brain-like intelligence technology is used to improve the existing visual product threshold judgment detection method,combined with edge computing,deep learning and big data technology,to develop an intelligent deep neural network-based cigarette branch detection system,and install the detection system in the part of the empty-head lack of detection system,the installation location does not change the original equipment structure,does not affect the operation and maintenance of the equipment,and the results of the study show that the system improves the quality assurance capability of cigarette products.关键词
类脑智能/深度学习/烟支检测/机器视觉Key words
brain-like intelligence/deep learning/cigarette stick detection/machine vision分类
信息技术与安全科学
