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http://dx.doi.org/10.7840/kics.2013.38C.3.278

Smart Ship Container With M2M Technology  

Sharma, Ronesh (목포대학교 전자공학과)
Lee, Seong Ro (목포대학교 정보전자공학과)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.38C, no.3, 2013 , pp. 278-287 More about this Journal
Abstract
Modern information technologies continue to provide industries with new and improved methods. With the rapid development of Machine to Machine (M2M) communication, a smart container supply chain management is formed based on high performance sensors, computer vision, Global Positioning System (GPS) satellites, and Globle System for Mobile (GSM) communication. Existing supply chain management has limitation to real time container tracking. This paper focuses on the studies and implementation of real time container chain management with the development of the container identification system and automatic alert system for interrupts and for normal periodical alerts. The concept and methods of smart container modeling are introduced together with the structure explained prior to the implementation of smart container tracking alert system. Firstly, the paper introduces the container code identification and recognition algorithm implemented in visual studio 2010 with Opencv (computer vision library) and Tesseract (OCR engine) for real time operation. Secondly it discusses the current automatic alert system provided for real time container tracking and the limitations of those systems. Finally the paper summarizes the challenges and the possibilities for the future work for real time container tracking solutions with the ubiquitous mobile and satellite network together with the high performance sensors and computer vision. All of those components combine to provide an excellent delivery of supply chain management with outstanding operation and security.
Keywords
Container Identification; Opencv; Tesseract; M2M; Automatic Alert System; Smart Container;
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Times Cited By KSCI : 1  (Citation Analysis)
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