An IoT Camera System for the Collection of Data Using QR Code as Object Recognition Algorithm

Ibanez, Jorge Franco; Serrano, Jairo E.; Martínez-Santos, Juan Carlos

doi:10.1109/coniiti.2018.8587087

Cited by 9 publications

(1 citation statement)

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“…Nowadays, the explosive growth of the development of mobile phone applications has made the issue of life easier. Some institutions such as museums, commercials enterprises or health have a large number of visitors and they may not have time to wait for the human guide to getting knowledge about the offered item [1,2]. Such a large number of visitors needs management and organize to the movement and requirement, in addition to that, each visitor may need information about offered objects in the shop.…”

Section: Introductionmentioning

confidence: 99%

Software engineering based fault tolerance model for information system in plants shopping center

Nasir

Croock

Al-Qaraawi

2020

IJECE

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The rapid development of mobile phone technologies in recent years promoted them for being used in various areas of life, such as commercial, health, transportation and tourism and other uses. In this paper, a software engineering based fault tolerance model is proposed to manage the expected faults in the adopted servers. The underlying QR based information system in plants shopping center employs different local serves allocated at local shops that are connected to the main server. In a fault case detection at any local server, the main server can cover the management of the system until the maintenance is completed. This is performed in efficient way as the main server keeps a copy of the information for all local branches. It is important to note that the self-checking process is adopted for fault detection. After completing the maintenance, a copy of the updated information is sent back to the investigated local server including all sales, etc. Moreover, the main and local servers contain information about all offer’s plants in different languages and in text and image form, customer's information and admin's information. The proposed system is tested in several cases to prove the efficiency and effectivity in retrieving and managing information and data as well as the fault tolerance administration.

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Section: Introductionmentioning

confidence: 99%