Development of usable applications featuring QR codes for enhancing interaction and acceptance: a case study

AbstractThis 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.

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A smart Warehouse 4.0 approach for the pallet management using machine vision and Internet of Things (IoT): A real industrial case study

Advances in Production Engineering & Management ◽

10.14743/apem2021.3.401 ◽

2021 ◽

Vol 16 (3) ◽

pp. 297-306

Author(s):

A. Vukicevic ◽

M. Mladineo ◽

N. Banduka ◽

I. Macuzic

Keyword(s):

Machine Vision ◽

Open Source Software ◽

Developed Countries ◽

Use Case ◽

Public Repository ◽

Qr Codes ◽

Industrial Case Study ◽

The Public ◽

Surveillance Technology

Printing companies are commonly SMEs with high flow of materials, which management could be significantly improved through the digitalization. In this study we propose a smart Warehouse 4.0 solution by using QR code, open-source software tools for machine vision and conventional surveillance equipment. Although there have been concerns regarding the usage of QR in logistics, it has shown to be suitable for the particular use-case as pallets are static in the interwarehouse. The reliability of reading of QR codes was achieved by using multiple IP cameras, so that sub-optimal view angle or light reflection is compensated with alternative views. Since surveillance technology and machine vision are constantly evolving and becoming more affordable, we report that more attention needs to be invested into their adaptation to fit the needs and budgets of SMEs, which are the industrial cornerstone in the most developed countries. The demo of proposed solution is available on the public repository https://github.com/ArsoVukicevic/PalletManagement/.

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The ScavengAR Hunt

Wearable Technology and Mobile Innovations for Next-Generation Education - Advances in Educational Technologies and Instructional Design ◽

10.4018/978-1-5225-0069-8.ch012 ◽

2016 ◽

pp. 224-246

Author(s):

Daniel Watanabe

Keyword(s):

Mobile Applications ◽

Mobile Application ◽

Fine Art ◽

Learning Activity ◽

Qr Code ◽

Qr Codes ◽

Midwestern University ◽

Pre Service Teacher ◽

Training Case

This chapter explains the design and execution of a pre-service teacher training case study using Augmented Reality (AR), Quick Response (QR) codes, and social media mobile applications installed on iPads. The ScavengAR Hunt activity centered on a story narrative inspired by works of fine art using trigger images from the AR mobile application ARART® and incorporated elements of the board game Clue®. Pre-service teachers in the study were divided into groups of 4-6 and assigned specific, individual roles related to a mobile application used in the ScavengAR Hunt, and completed specific tasks while exploring the campus of a midwestern university. The research monitored the groups in real-time through reports submitted on Twitter and responses from QR code scans. The ScavengAR Hunt served as a model for designing a mobile learning activity incorporating multiple mobile applications.

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The ScavengAR Hunt

Mobile Devices in Education ◽

10.4018/978-1-7998-1757-4.ch057 ◽

2020 ◽

pp. 999-1021

Author(s):

Daniel Watanabe

Keyword(s):

Mobile Applications ◽

Mobile Application ◽

Fine Art ◽

Learning Activity ◽

Qr Code ◽

Qr Codes ◽

Midwestern University ◽

Pre Service Teacher ◽

Training Case

This chapter explains the design and execution of a pre-service teacher training case study using Augmented Reality (AR), Quick Response (QR) codes, and social media mobile applications installed on iPads. The ScavengAR Hunt activity centered on a story narrative inspired by works of fine art using trigger images from the AR mobile application ARART® and incorporated elements of the board game Clue®. Pre-service teachers in the study were divided into groups of 4-6 and assigned specific, individual roles related to a mobile application used in the ScavengAR Hunt, and completed specific tasks while exploring the campus of a midwestern university. The research monitored the groups in real-time through reports submitted on Twitter and responses from QR code scans. The ScavengAR Hunt served as a model for designing a mobile learning activity incorporating multiple mobile applications.

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Super modules-based active QR codes for smart trackability and IoT: a responsive-banknotes case study

npj Flexible Electronics ◽

10.1038/s41528-020-0073-1 ◽

2020 ◽

Vol 4 (1) ◽

Author(s):

João F. C. B. Ramalho ◽

Sandra F. H. Correia ◽

Lianshe Fu ◽

Lília M. S. Dias ◽

Pedro Adão ◽

...

Keyword(s):

Qr Codes

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Using Smartphones to Assist People with Down Syndrome in Their Labour Training and Integration: A Case Study

Wireless Communications and Mobile Computing ◽

10.1155/2017/5062371 ◽

2017 ◽

Vol 2017 ◽

pp. 1-15 ◽

Cited By ~ 6

Author(s):

Javier Gomez ◽

Juan Carlos Torrado ◽

Germán Montoro

Keyword(s):

Mobile Phones ◽

Mobile Application ◽

Traditional Method ◽

Personal Autonomy ◽

Cognitive Disabilities ◽

Cognitive Effort ◽

Qr Codes ◽

Task Sequencing ◽

Manual Skills

This article describes a proposal and case study based on mobile phones and QR Codes to assist individuals with cognitive disabilities in their labour training and integration. This proposal, named AssisT-Task, is a full functional mobile application for Android smartphones and offers step-by-step guidance, establishing a learning method through task sequencing. It has been tested with a group of 10 users and 2 types of labour tasks. Through 7 recorded sessions, we compared the performance and the learning progress with the tool against the traditional assisting method, based on paper instructions. The results show that people with cognitive disabilities learnt and performed better and faster when using AssisT-Task than the traditional method, particularly on tasks that require cognitive effort rather than manual skills. This learning has proved to be essential to obtain an adequate degree of personal autonomy for people with cognitive impairment.

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