APA
Click to copy
Rashid, M., Ahad, S., Siddique, S., & Motahar, T. (2019). Smart Warehouse Management System with RFID and Cloud Database. 2019 Joint 8th International Conference on Informatics, Electronics &Amp; Vision (ICIEV) and 2019 3rd International Conference on Imaging, Vision &Amp; Pattern Recognition (IcIVPR).
Chicago/Turabian
Click to copy
Rashid, Mahmudur, S. Ahad, Shahida Siddique, and Tamanna Motahar. “Smart Warehouse Management System with RFID and Cloud Database.” 2019 Joint 8th International Conference on Informatics, Electronics & Vision (ICIEV) and 2019 3rd International Conference on Imaging, Vision & Pattern Recognition (icIVPR) (2019).
MLA
Click to copy
Rashid, Mahmudur, et al. “Smart Warehouse Management System with RFID and Cloud Database.” 2019 Joint 8th International Conference on Informatics, Electronics &Amp; Vision (ICIEV) and 2019 3rd International Conference on Imaging, Vision &Amp; Pattern Recognition (IcIVPR), 2019.
BibTeX Click to copy
@article{mahmudur2019a,
title = {Smart Warehouse Management System with RFID and Cloud Database},
year = {2019},
journal = {2019 Joint 8th International Conference on Informatics, Electronics & Vision (ICIEV) and 2019 3rd International Conference on Imaging, Vision & Pattern Recognition (icIVPR)},
author = {Rashid, Mahmudur and Ahad, S. and Siddique, Shahida and Motahar, Tamanna}
}
RFID based automated warehouse management and also object detection and accessing the data remotely with cloud storage technology is proposed in this paper. The RFID technology helps better to specify every RF Tag which contains unique id each. In a warehouse, every items or container which have RF Tags can be observed and accessed efficiently. And this efficiency increases with the cloud storing facility. To this purpose, this paper introduced the scanning multiple RF Tags and store the Tag and its positions in the cloud. NODEMCU is a very small device to handle cloud with storing data via Wi-Fi and Arduino to control the scan process. As the warehouse or household items and its position are stored in the cloud so it can remotely be accessed by web or smartphone application.