基于类脑智能模型的烟支检测、跟踪和流量统计系统
Cigarette Detection,Tracking and Traffic Counting System Based on Brain-like Intelligence Modeling
岑伟军 1王贺伟1
作者信息
- 1. 广西中烟工业有限责任公司,南宁 530001
- 折叠
摘要
本文采用类脑智能技术改进现有的视觉产品阈值判定检测方式,结合边缘计算、深度学习和大数据技术,开发一种基于深度神经网络的智能型烟支检测系统,并在空头缺支检测系统部位安装该检测系统,安装位置不改变原有设备结构,不影响设备操作和维修,研究结果表明该系统提高了卷烟产品的质量保障能力.
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引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据