基于深度学习的捆带检测系统设计和实现
Design and Implementation of a Strap Detection System Based on Deep Learning
鲍瑞洋 1童立靖1
作者信息
- 1. 北方工业大学信息学院,北京 100144
- 折叠
摘要
阐述基于深度学习的目标检测算法和图像分割算法的捆带检测系统,采用两种相结合的算法,对同一张产线图像是否含有捆带及捆带是否压边进行综合判断.结果表明,可有效提升识别的准确率.
Abstract
This paper describes a bundling detection system based on deep learning object detection algorithms and image segmentation algorithms.Two combined algorithms are used to comprehensively judge whether the same production line image contains bundling and whether the bundling is pressed on the edge.The results indicate that it can effectively improve the accuracy of recognition.
关键词
深度学习/计算机视觉/目标检测/图像分割/捆带检测Key words
deep learning/computer vision/object detection/image segmentation/strapping detection引用本文复制引用
出版年
2024
NETL
NSTL
万方数据