Open AccessImplementation of Cargo Image System Via QR Code for Export Containers: Case Study of the Keelung Port
Author(s) -
Ki-Yin Chang,
Chung-Ping Liu,
Mei-Lian Huang,
Jian-Hung Shen,
Ji-Feng Ding
Publication year - 2020
Publication title -
marine technology society journal/marine technology society journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.23
H-Index - 43
eISSN - 1948-1209
pISSN - 0025-3324
DOI - 10.4031/mtsj.54.1.5
Subject(s) - unpacking , container (type theory) , doors , port (circuit theory) , computer science , code (set theory) , voucher , engineering , operating system , mechanical engineering , world wide web , philosophy , linguistics , set (abstract data type) , programming language
This article proposes a novel implementation of a cloud cargo image system via Quick Response (QR) codes to reduce the amount and cost of manual unpacking examinations for export containers. First, individual cargo pictures for different owners are taken before loading. After loading, cargo scenario photos are also taken right before sealing the doors. According to the customs inspection procedure, all containers selected for checks were X-rayed. If cargo X-ray images cannot be identified by customs, the container must be unpacked for examination. In this study, customs officers can access the cargo interior photos with a voucher via its QR code. By comparing X-ray images and cargo scenario photos, the officers verify whether the inspection cargo and declared goods are consistent. Thus, the amount and cost of manual unpacking examination can be substantially reduced. Simulation results showed that, for the inspectors using the X-ray scanner with this cargo image system, overall examination performance for export containers increased by about 32%. This study further expects to provide results and findings to relevant stakeholders for reference.