Foreign Object Detection of Sintering Transport Belt Based on CNN

CK. Xiao; B. Sun; YL. Wang; LD. Qiu

首页> 外文期刊>IFAC PapersOnLine >Foreign Object Detection of Sintering Transport Belt Based on CNN

【24h】

Foreign Object Detection of Sintering Transport Belt Based on CNN

机译：基于CNN的烧结输送带的异物检测

获取原文

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

Belt transportation is the most important transportation method in sintering production. Sintered products are often mixed with large gangue, ironware (grate bar, steel plate) leading to belt scratches, material plugging. In order to eliminate the influence of foreign objects on sintering production, this paper studies the detection of sinter foreign objects. The detection, classification and location of foreign objects are based on CNN, and non-maximum suppression is improved by considering the difference of image features between anchors. The detection model is proposed and the results indicate the effectiveness of the method.

机译：皮带运输是烧结生产中最重要的运输方式。烧结产品经常与大煤矸石，铁器（Grate Bar，钢板）混合，导致皮带划痕，材料堵塞。为了消除异物对烧结生产的影响，本文研究了烧结异物的检测。异物的检测，分类和位置基于CNN，通过考虑锚之间的图像特征的差异来提高非最大抑制。提出了检测模型，结果表明该方法的有效性。

著录项

来源
《IFAC PapersOnLine》 |2021年第21期|共6页
作者
CK. Xiao; B. Sun; YL. Wang; LD. Qiu;
展开▼
作者单位

展开▼
收录信息
原文格式 PDF
正文语种
中图分类
关键词
Steel sinteringBelt transportationForeign object detectionNMS;

机译：钢烧结带运输外国物体检测文件;

相似文献

外文文献
中文文献
专利

1. Gabor-CNN for object detection based on small samples [J] . Xiao-dong Hu, Xin-qing Wang, Fan-jie Meng, 兵工学报（英文版） . 2020,第006期
2. Weakly- and Semi-Supervised Fast Region-Based CNN for Object Detection [J] . Xing-Gang Wang, Jia-Si Wang, Peng Tang, 计算机科学技术学报（英文版） . 2019,第006期
3. Detection of Foreign Bodies and Bubble Defects in Tire Radiography Images Based on Total Variation and Edge Detection [J] . ZHANG Yan, LI Tao, LI Qing-Ling 中国物理快报：英文版 . 2013,第008期
4. Computer vision detection of foreign objects in coal processing using attention CNN [J] . Kanghui Zhang, Weidong Wang, Ziqi Lv, Engineering Applications of Artificial Intelligence . 2021,第Juna期

机译：使用注意CNN的煤炭处理中异物的计算机视觉检测
5. Automatic detection of earthquake-induced ground failure effects through Faster R-CNN deep learning-based object detection using satellite images [J] . Haciefendioglu Kemal, Basaga Hasan Basri, Demir Gokhan Natural Hazards . 2021,第1期

机译：通过使用卫星图像的基于R-CNN深度学习的对象检测自动检测地震诱导的地形失败效应
6. Accurate seat belt detection in road surveillance images based on CNN and SVM [J] . Chen Yanxiang, Tao Gang, Ren Hongmei, Neurocomputing . 2018,第jana24期

机译：基于CNN和SVM的道路监控图像中的精确安全带检测
7. Foreign Object Detection of Transmission Lines Based on Faster R-CNN [C] . Shuqiang Guo, Qianlong Bai, Xinxin Zhou iCatse international conference on information science and applications . 2020

机译：基于更快的R-CNN的传输线对外对象检测
8. Multi-Source UAV-Based Object Classification Using CNN's and Data Acquisition System for Robotic Skin [D] . Raghavendra Sriram, M.S. 2017

机译：基于CNN和数据采集系统的机器人皮肤基于多源无人机的目标分类
9. Region Based CNN for Foreign Object Debris Detection on Airfield Pavement [O] . Xiaoguang Cao, Peng Wang, Cai Meng, 2018

机译：基于区域的CNN用于飞机场路面异物检测
10. Region Based CNN for Foreign Object Debris Detection on Airfield Pavement [O] . Xiaoguang Cao, Peng Wang, Cai Meng, 2018

机译：基于地区的CNN用于气田路面对外物体碎片检测
11. Performance Assessment of an Electro-Optical-Based Foreign Object Debris Detection System. [R] . E. Woodworth E. E. Herricks J. Patterson P. Lazar 2012

机译：基于电光的异物碎片检测系统的性能评估。

Foreign Object Detection of Sintering Transport Belt Based on CNN

摘要

著录项

相似文献

相关主题

期刊订阅