scholarly journals Localization of Moving Objects Based on RFID Tag Array and Laser Ranging Information

Electronics ◽  
2019 ◽  
Vol 8 (8) ◽  
pp. 887 ◽  
Author(s):  
Shafiq Ur Rehman ◽  
Ran Liu ◽  
Hua Zhang ◽  
Gaoli Liang ◽  
Yulu Fu ◽  
...  
Keyword(s):  
Radial Velocity ◽  
Radio Frequency Identification ◽  
Moving Objects ◽  
Spatial Clustering ◽  
Service Robot ◽  
Laser Ranging ◽  
Localization Accuracy ◽  
Rfid Tag ◽  
Radio Signals ◽  
Frequency Identification

RFID (radio-frequency identification) technology is rapidly emerging for the localization of moving objects and humans. Due to the blockage of radio signals by the human body, the localization accuracy achieved with a single tag is not satisfactory. This paper proposes a method based on an RFID tag array and laser ranging information to address the localization of live moving objects such as humans or animals. We equipped a human with a tag array and calculated the phase-based radial velocity of every tag. The laser information was, first, clustered through the DBSCAN (Density-Based Spatial Clustering of Applications with Noise) algorithm and then laser-based radial velocity was calculated. This velocity was matched with phase-based radial velocity to get best matching clusters. A particle filter was used to localize the moving human by fusing the matching results of both velocities. Experiments were conducted by using a SCITOS G5 service robot. The results verified the feasibility of our approach and proved that our approach significantly increases localization accuracy by up to 25% compared to a single tag approach.

scholarly journals Continuously tracking of moving object by a combination of ultra-high frequency radio-frequency identification and laser range finder

2019 ◽  
Vol 15 (7) ◽  
pp. 155014771986099 ◽  
Author(s):  
Yulu Fu ◽  
Ran Liu ◽  
Hua Zhang ◽  
Gaoli Liang ◽  
Shafiq ur Rehman ◽  
...  
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Spatial Clustering ◽  
Laser Ranging ◽  
Laser Range Finder ◽  
Two Dimensional ◽  
Range Finder ◽  
Laser Range ◽  
Frequency Identification ◽  
Velocity Matching

Due to the unique and contactless way of identification, radio-frequency identification is becoming an emerging technology for objects tracking. As radio-frequency identification does not provide any distance or bearing information, positioning using radio-frequency identification sensor itself is challenging. Two-dimensional laser range finders can provide the distance to the objects but require complicated recognition algorithms to acquire the identity of object. This article proposes an innovative method to track the locations of dynamic objects by combining radio-frequency identification and laser ranging information. We first segment the laser ranging data into clusters using density-based spatial clustering of applications with noise (DBSCAN). Velocity matching–based approach is used to track the location of object when the object is in the radio-frequency identification reading range. Since the radio-frequency identification reading range is smaller than a two-dimensional laser range finder, velocity matching–based approach fails to track location of the object when the radio-frequency identification reading is not available. In this case, our approach uses the clustering results from density-based spatial clustering of applications with noise to continuously track the moving object. Finally, we verified our approach on a Scitos robot in an indoor environment, and our results show that the proposed approach reaches a positioning accuracy of 0.43 m, which is an improvement of 67.6% and 84.1% as compared to laser-based and velocity matching–based approaches, respectively.

scholarly journals Three-Wheeled Omnidirectional Robot Localization in RFID-Tag Environments using UFIR Filtering

2021 ◽  
Vol 17 ◽  
pp. 16-21
Author(s):  
Jorge A. Ortega-Contreras ◽  
Yuriy S. Shmaliy ◽  
Jose A. Andrade-Lucio
Keyword(s):  
Radio Frequency Identification ◽  
Finite Impulse Response ◽  
Indoor Navigation ◽  
Measurement Noise ◽  
Rfid Tags ◽  
Robot Localization ◽  
Rfid Technology ◽  
Localization Accuracy ◽  
Rfid Tag ◽  
Frequency Identification

This paper describes a way to improve the indoor navigation of mobile robots using radio frequency identification (RFID) technology. A net of RFID tags is deployed in the navigation space. A measurement system measures distances from the tags to the robot with in the presence of the firstorder Markov-Gauss colored measurement noise (CMN) and is combined with a digital gyroscope to measure the robot heading. To increase the localization accuracy, the Kalman filter (KF) and unbiased finite impulse response (UFIR) modified for CMN are used. It is shown that the navigation system developed is more accurate than the basic one employing the standard KF and UFIR filter

scholarly journals On the application of the EM-imaging for chipless RFID tags

2015 ◽  
Vol 2 (2) ◽  
pp. 86-96 ◽  
Author(s):  
M. Zomorrodi ◽  
N.C. Karmakar
Keyword(s):  
Radio Frequency Identification ◽  
Low Cost ◽  
60 Ghz ◽  
Rfid Tag ◽  
High Data ◽  
Data Encoding ◽  
Bending Effect ◽  
Chipless Rfid ◽  
Frequency Identification ◽  
Cost Item

The electromagnetic (EM) imaging technique at mm-band 60 GHz is proposed for data encoding purpose in the chipless Radio Frequency Identification (RFID) systems. The fully printable chipless RFID tag comprises tiny conductive EM polarizers to create high cross-polar radar cross-section. Synthetic aperture radar approach is applied for formation of the tag's EM-image and revealing the tag's content. The achieved high data encoding capacity of 2 bits/cm2in this technique based on a fully printable tag is very convincing for many applications. The system immunity to multipath interference, bending effect, and printing inaccuracy suggests huge potentials for low-cost item tagging. Tags are also readable through a tick paper envelop; hence secure identification is provided by the proposed technique.

A low-profile FSS-based high capacity chipless RFID tag for sensing and encoding applications

2021 ◽  
pp. 1-9
Author(s):  
Shahid Habib ◽  
Amjad Ali ◽  
Ghaffer Iqbal Kiani ◽  
Wagma Ayub ◽  
Syed Muzahir Abbas ◽  
...  
Keyword(s):  
Radio Frequency Identification ◽  
High Capacity ◽  
Frequency Selective Surface ◽  
Rfid Tag ◽  
Sensing Applications ◽  
Low Profile ◽  
Simple Geometry ◽  
Chipless Rfid ◽  
Frequency Identification ◽  
Good Agreement

Abstract This paper presents a polarization-independent 11-bit chipless RFID tag based on frequency-selective surface which has been designed for encoding and relative humidity (RH) sensing applications. The 10 exterior U-shaped resonators are used for item encoding whereas Kapton has been incorporated with the interior resonator for RH sensing. This radio-frequency identification (RFID) tag operates in S- and C-frequency bands. The proposed design offers enhanced fractional bandwidth up to 88% with the density of 4.46 bits/cm2. Both single- and dual-layer tags have been investigated. The simulated results are in good agreement with measured results and a comparison with existing literature is presented to show the performance. Simple geometry, high code density, large frequency signature bandwidth, high magnitude bit, high radar cross-section, and angular stability for more than 75° are the unique outcomes of the proposed design. In addition, RH sensing has been achieved by integrating the Kapton on the same RFID tag.

scholarly journals Rancang Bangun Sistem Pengaman Sepeda Motor Menggunakan Radio Frequency Identification (RFID) dan Notifikasi Melalui Handphone

2019 ◽  
Vol 8 (1) ◽  
pp. 13-19
Author(s):  
Meli Mildawati ◽  
Wildian Wildian
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Reed Switch ◽  
Rfid Tag ◽  
Rfid Reader ◽  
Frequency Identification ◽  
Arduino Uno

Sistem pengaman sepeda motor menggunakan radio frequency identification (RFID) dan notifikasi melalui handphone yang dikontrol dengan modul Arduino Uno telah dirancang bangun. RFID terdiri dari sebuah RFID tag dan RFID reader. RFID tag yang memiliki kode yang berbeda-beda, digunakan sebagai kunci untuk menghidupkan sepeda motor setelah kunci kontak digunakan. RFID reader dapat membaca tag pada jarak maksimal 1,26 cm. Sepeda motor yang dihidupkan tanpa menggunakan RFID tag atau RFID tag tidak sesuai menyebabkan aktifnya reed switch pada pelek roda depan. Ketika roda telah berputar sebanyak empat kali, maka alarm aktif dan GSM SIM 800L mengirimkan notifikasi berupa SMS sebanyak satu kali dan misscall sebanyak tiga kali ke nomor handphone pemilik sepeda motor. Waktu delay rata-rata SMS dan miscall berturut-turut adalah 5,42 s, 8,62 s, 61,14 s dan 113,16 s. Kata kunci: sistem pengaman sepeda motor, RFID, Arduino Uno , reed switch, GSM SIM 800L

Adaptive Framework for Collisions in RFID Tag Identification

2008 ◽  
Vol 07 (01) ◽  
pp. 9-14 ◽  
Author(s):  
Selwyn Piramuthu
Keyword(s):  
Supply Chain ◽  
Radio Frequency Identification ◽  
Rfid Tags ◽  
Tag Identification ◽  
Seamless Integration ◽  
Essential Information ◽  
Rfid Tag ◽  
Frequency Identification ◽  
Pass Through ◽  
Aloha Protocol

Radio Frequency Identification (RFID) is promising, as a technique, to enable tracking of essential information about objects as they pass through supply chains. Information thus tracked can be utilised to efficiently operate the supply chain. Effective management of the supply chain translates to huge competitive advantage for the firms involved. Among several issues that impede seamless integration of RFID tags in a supply chain, one of the problems encountered while reading RFID tags is that of collision, which occurs when multiple tags transmit data to the same receiver slot. Data loss due to collision necessitates re-transmission of lost data. We consider this problem when Framed Slotted ALOHA protocol is used. Using machine learning, we adaptively configure the number of slots per frame to reduce the number of collisions while improving throughput.

A Study on Tourist Management in China Based on Radio Frequency Identification (RFID) Technology

2012 ◽  
pp. 12-26
Author(s):  
Aliana M W Leong ◽  
Xi Li
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Moving Objects ◽  
Target Recognition ◽  
Automatic Target Recognition ◽  
Tourism Industry ◽  
Automatic Identification ◽  
Property Management ◽  
Rfid Technology ◽  
Frequency Identification

Radio Frequency Identification (RFID) is a non-contact, automatic identification technology. Through its radio frequency signal, RFID offers automatic target recognition and access to relevant and without human intervention identification of work is made. RFID can work in various environments. It can identify fast moving objects and is capable of identifying multiple tags, in a rapid and convenient operation. Since the 1990s, RFID technology has been widely used in commercial, logistics, property management and other fields, but interest towards potential application to the needs of the tourism industry only began in recent years.

The Use of Embedded Mobile, RFID, Location Based Services, and Augmented Reality in Mobile Applications

2017 ◽  
Vol 8 (1) ◽  
pp. 42-52 ◽  
Author(s):  
Greg Gogolin ◽  
Erin Gogolin
Keyword(s):  
Augmented Reality ◽  
Mobile Device ◽  
Radio Frequency Identification ◽  
Mobile Applications ◽  
Near Field ◽  
Location Based Services ◽  
Payment Systems ◽  
Rfid Tag ◽  
Frequency Identification ◽  
Mobile Rfid

The proliferation of mobile devices such as smart phones and other handheld appliances has stimulated the development of a broad range of functionality, including medical, retail, gaming, and personal applications. Technology that has been leveraged to enable many of these uses includes embedded mobile, radio frequency identification, location based services, and augmented reality. Embedded mobile refers to preprogrammed tasks that are performed on a mobile device. Personal care and monitoring is one of the most common uses of embedded mobile. RFID involves communication between a tag and a reader. Mobile RFID extends the technology by tagging the mobile device with an RFID tag to perform tasks on the device. Near field communication is frequently utilized in mobile payment systems. Advertisers find this of significant use in focusing advertisements based on the location of an individual. Augmented reality involves the use of computer generated or enhanced sensory input such as audio and visual components to enhance the perception of reality.

scholarly journals Longest-Range UHF RFID Sensor Tag Antenna for IoT Applied for Metal and Non-Metal Objects

Sensors ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 5460 ◽  
Author(s):  
Franck Kimetya Byondi ◽  
Youchung Chung
Keyword(s):  
Wireless Sensor Networks ◽  
Radio Frequency Identification ◽  
High Frequency ◽  
Wireless Sensor ◽  
The Internet ◽  
Uhf Rfid ◽  
Rfid Tag ◽  
Frequency Identification ◽  
The Internet Of Things ◽  
Read Range

This paper presents a passive cavity type Ultra High Frequency (UHF) Radio Frequency Identification (RFID) tag antenna having the longest read-range, and compares it with existing long-range UHF RFID tag antenna. The study also demonstrates mathematically and experimentally that our proposed longest-range UHF RFID cavity type tag antenna has a longer read-range than existing passive tag antennas. Our tag antenna was designed with 140 × 60 × 10 mm3 size, and reached 26 m measured read-range and 36.3 m mathematically calculated read-range. This UHF tag antenna can be applied to metal and non-metal objects. By adding a further sensing capability, it can have a great benefit for the Internet of Things (IoT) and wireless sensor networks (WSN).

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