
Cloud Connected Inventory Management System Using OWC Technology
Explore the concept models of Optical Wireless Communication (OWC) link solutions for Vehicular Assistant Technology (VAT) in the context of cloud-connected inventory management systems. The document discusses the use of OWC data link models for managing inventory in distribution centers efficiently, minimizing data processing burdens by leveraging cloud networks. Real-time management systems for monitoring and managing continuously fluctuating inventory levels are proposed, integrating 2D tag-based OWC technology with cloud networks.
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July 2018 Project: IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs) Submission Title: Cloud Connected Inventory Management System Using OWC Technology doc.: IEEE 15-18-0360-00-0vat Date Submitted: July 2018 Source: Jaesang Cha, Minwoo Lee (SNUST), Vinayagam Mariappan (SNUST) Address: Contact Information: +82-2-970-6431, FAX: +82-2-970-6123, E-Mail: chajs@seoultech.ac.kr Re: Abstract: This documents introduce the V2X OWC communication link design consideration for VAT. The proposed OWC data link model proposed to introduce the possibility of using light communication for cloud connected inventory management system. This proposed solution can be utilized as a part of a factory vehicle based inventory management system. Purpose: To provided concept models of OWC link solution for Vehicular Assistant Technology (VAT) Interest Group Notice: This document has been prepared to assist the IEEE P802.15. It is offered as a basis for discussion and is not binding on the contributing individual(s) or organization(s). The material in this document is subject to change in form and content after further study. The contributor(s) reserve(s) the right to add, amend or withdraw material contained herein. Release: The contributor acknowledges and accepts that this contribution becomes the property of IEEE and may be made publicly available by P802.15. Slide 1 Submission Jaesang Cha, SNUST
July 2018 doc.: IEEE 15-18-0360-00-0vat Contents Needs for Inventory Management System Cloud Connected Inventory Management Using OWC Link Conclusion Slide 2 Submission Jaesang Cha, SNUST
July 2018 doc.: IEEE 15-18-0360-00-0vat Needs for Inventory Management System Needs In distribution center, the work of delivering distribution is frequently done. Inventory management can be problematic because the inventory of the goods changes from time to time. Needs When each tag is applied to each distribution, it is possible to manage inventory efficiently by monitoring program on-line. Since the cloud network is used, the burden on data processing is minimized by utilizing only the residual information on the tag. < Environment of Distribution Center > Slide 3 Submission Jaesang Cha, SNUST
July 2018 doc.: IEEE 15-18-0360-00-0vat Cloud Connected Inventory Management Using OWC Link Cloud Connected Inventory Management Using OWC Link Real-time management system for managing the Management System C remaining amount of continuously fluctuating B A B C distribution in the factory using 2D Tag-based OWC Cloud A Amount of Shipments Link and cloud network of distribution center. A : -1 Connected to a cloud-based management system and provides efficient management functions Rx : Cloud Connected Camera in Vehicle Tx : Distribution 2D-Tag Modulations : VTASC, SS2DC, QR-Code, Color Code, CSK, etc. Product Shipments Day-Night Communication Mode < Cloud Connected Inventory Management System > Data Rate : 1K ~ 1Mb/s Supported LoS(Line of Sight) Available Distance : 2m ~ 20m Slide 4 Submission Jaesang Cha, SNUST
July 2018 doc.: IEEE 15-18-0360-00-0vat Conclusion Proposed the Cloud Connected Inventory Management System Using OWC Technology The existing technology has a structure to passively inspect the inventory in order to manage the continuously fluctuating inventory in the distribution factory The propose approach provides efficient inventory management on-line through camera communication between Cloud Connected Camera attached to factory vehicle and 2D Code Slide 5 Submission Jaesang Cha, SNUST