A CNN-Based Visual Sorting System With Cloud-Edge Computing for Flexible Manufacturing Systems
Authors:
- Yuanbin WangYWYuanbin Wang
- Kangjie HongKHKangjie Hong
- Jun ZouJZJun Zou
- Tao PengTao Peng
- Huayong YangHYHuayong Yang
- 15 October 2019
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Industrial Informatics
- Vol. 16 (7) , 4726-4735
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (51890885)
- Ministry of Industry and Information Technology of the People's Republic of China (Z135060009002)
This publication has 35 references indexed in Scilit:
- A system framework for OKP product planning in a cloud-based design environmentRobotics and Computer-Integrated Manufacturing, 2017
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence, 2016
- Deep learning for visual understanding: A reviewNeurocomputing, 2016
- Design of deep convolutional neural network architectures for automated feature extraction in industrial inspectionCIRP Annals, 2016
- Automatic gear sorting system based on monocular visionDigital Communications and Networks, 2015
- An optimization method for shopfloor material handling based on real-time and multi-source manufacturing dataInternational Journal of Production Economics, 2015
- CCIoT-CMfg: Cloud Computing and Internet of Things-Based Cloud Manufacturing Service SystemIEEE Transactions on Industrial Informatics, 2014
- RFID-enabled real-time manufacturing execution system for mass-customization productionRobotics and Computer-Integrated Manufacturing, 2013
- From cloud computing to cloud manufacturingRobotics and Computer-Integrated Manufacturing, 2012
- A case study in the design of BTO/CTO shop floor control systemInformation & Management, 2003