Evolution of RFID Applications in Construction: A Literature Review

Valero, Enrique; Adán, Antonio; Cerrada, Carlos

doi:10.3390/s150715988

Cited by 123 publications

(63 citation statements)

References 74 publications

(87 reference statements)

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“…Each RFID system has three components: a tag, a reader, and an antenna. The reader sends a signal to the tag via the antenna, and the tag responds to this signal by sending its unique identification information [64]. There are two types of RFID tags: active and passive.…”

Section: Tag Based Systemsmentioning

confidence: 99%

Making Shopping Easy for People with Visual Impairment Using Mobile Assistive Technologies

2019

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People with visual impairment face various difficulties in their daily activities in comparison to people without visual impairment. Much research has been done to find smart solutions using mobile devices to help people with visual impairment perform tasks like shopping. One of the most challenging tasks for researchers is to create a solution that offers a good quality of life for people with visual impairment. It is also essential to develop solutions that encourage people with visual impairment to participate in social life. This study provides an overview of the various technologies that have been developed in recent years to assist people with visual impairment in shopping tasks. It gives an introduction to the latest direction in this area, which will help developers to incorporate such solutions into their research.

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Section: Tag Based Systemsmentioning

confidence: 99%

Making Shopping Easy for People with Visual Impairment Using Mobile Assistive Technologies

2019

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“…These tags are composed of an integrated circuit and a small encapsulated antenna [54]. A computer, connected to the reader, manages the system through a suitable application [55].…”

Section: Radio Frequency Identification Systemsmentioning

confidence: 99%

Degradation Monitoring Systems for a BIM Maintenance Approach

Romano¹,

Brito²

2019

Sustainable Construction and Building Materials

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Digitization allows to develop unprecedented technological systems based on the use of sensors, robotics, and automation. The construction industry is involved in this process of integrating new technologies through a platform called Building Information Modeling (BIM), which simplifies the management of the increasing complexity of construction processes. This methodology aims to create a global interactive system of information sharing between the different actors in the construction process. The integration of the processes creates economic and environmental opportunities, which can translate into increased efficiency of the sector. The information collected can be used throughout the construction lifecycle, which together with the monitoring of the buildings will support maintenance decisions. The monitoring of reinforced concrete structures with sensors allows the identification and quantification of the degradation processes, through the monitoring of several characteristic parameters of the reinforced concrete over time, and the determination of significant changes that indicate the existence of a degradative process in development. Obtaining this type of information, and its integration into BIM models, will allow intervention at an early stage in order to limit damages and costs associated with the maintenance of the structure, contributing to increase in the structure's useful life.

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“…These solutions differ in the types of the signals used, the positioning method, and the accuracy [12][13][14][15][16][17][18][19]. These solutions fall into three categories: Tag Based Systems: Such as radio-frequency identification (RFID) and near field communication (NFC), which use wireless components to transfer data from a tag attached to an object for the purpose of automatic identification and tracking [20,21]. Computer Vision Based Systems: These systems install or attach unique visual tags such as quick response (QR) codes or augmented reality (AR) markers to help in the navigation and recognition process [22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Identification of Markers in Challenging Conditions for People with Visual Impairment Using Convolutional Neural Network

2019

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People with visual impairment face a lot of difficulties in their daily activities. Several researches have been conducted to find smart solutions using mobile devices to help people with visual impairment perform tasks. This paper focuses on using assistive technology to help people with visual impairment in indoor navigation using markers. The essential steps of a typical navigation system are identifying the current location, finding the shortest path to the destination, and navigating safely to the destination using navigation feedback. In this research, the authors proposed a system to help people with visual impairment in indoor navigation using markers. In this system, the authors have re-defined the identification step to a classification problem and used convolutional neural networks to identify markers. The main contributions of this paper are: (1) A system to help people with visual impairment in indoor navigation using markers. (2) Comparing QR codes with Aruco markers to prove that Aruco markers work better. (3) Convolutional neural network has been implemented and simplified to detect the candidate markers in challenging conditions and improve response time. (4) Comparing the proposed model with another model to prove that it gives better accuracy for training and testing.

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Evolution of RFID Applications in Construction: A Literature Review

Cited by 123 publications

References 74 publications

Making Shopping Easy for People with Visual Impairment Using Mobile Assistive Technologies

Making Shopping Easy for People with Visual Impairment Using Mobile Assistive Technologies

Degradation Monitoring Systems for a BIM Maintenance Approach

Identification of Markers in Challenging Conditions for People with Visual Impairment Using Convolutional Neural Network

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