scholarly journals A Cascaded Model Based on EfficientDet and YOLACT++ for Instance Segmentation of Cow Collar ID Tag in an Image

Sensors ◽  
2021 ◽  
Vol 21 (20) ◽  
pp. 6734
Author(s):  
Kaixuan Zhao ◽  
Ruihong Zhang ◽  
Jiangtao Ji
Keyword(s):  
Radio Frequency Identification ◽  
Dairy Farm ◽  
Average Precision ◽  
University Of Kentucky ◽  
Cascaded Model ◽  
Frequency Identification ◽  
The Common ◽  
Instance Segmentation ◽  
Segmentation Models ◽  
Better Than

In recent years, many imaging systems have been developed to monitor the physiological and behavioral status of dairy cows. However, most of these systems do not have the ability to identify individual cows because the systems need to cooperate with radio frequency identification (RFID) to collect information about individual animals. The distance at which RFID can identify a target is limited, and matching the identified targets in a scenario of multitarget images is difficult. To solve the above problems, we constructed a cascaded method based on cascaded deep learning models, to detect and segment a cow collar ID tag in an image. First, EfficientDet-D4 was used to detect the ID tag area of the image, and then, YOLACT++ was used to segment the area of the tag to realize the accurate segmentation of the ID tag when the collar area accounts for a small proportion of the image. In total, 938 and 406 images of cows with collar ID tags, which were collected at Coldstream Research Dairy Farm, University of Kentucky, USA, in August 2016, were used to train and test the two models, respectively. The results showed that the average precision of the EfficientDet-D4 model reached 96.5% when the intersection over union (IoU) was set to 0.5, and the average precision of the YOLACT++ model reached 100% when the IoU was set to 0.75. The overall accuracy of the cascaded model was 96.5%, and the processing time of a single frame image was 1.92 s. The performance of the cascaded model proposed in this paper is better than that of the common instance segmentation models, and it is robust to changes in brightness, deformation, and interference around the tag.

scholarly journals REINFORCEMENT LEARNING BASED ANTI-COLLISION ALGORITHM FOR RFID SYSTEMS

2019 ◽  
pp. 155-168
Author(s):  
Murukesan Loganathan ◽  
Thennarasan Sabapathy ◽  
Mohamed Elobaid Elshaikh ◽  
Mohamed Nasrun Osman ◽  
Rosemizi Abd Rahim ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Radio Frequency Identification ◽  
Energy Efficient ◽  
Current Standard ◽  
Tag Identification ◽  
Rfid Systems ◽  
Order Of Magnitude ◽  
Control Message ◽  
Frequency Identification ◽  
Better Than

Efficient collision arbitration protocol facilitates fast tag identification in radio frequency identification (RFID) systems. EPCGlobal-Class1-Generation2 (EPC-C1G2) protocol is the current standard for collision arbitration in commercial RFID systems. However, the main drawback of this protocol is that it requires excessive message exchanges between tags and the reader for its operation. This wastes energy of the already resource-constrained RFID readers. Hence, in this work, reinforcement learning based anti-collision protocol (RL-DFSA) is proposed to address the energy efficient collision arbitration problem in the RFID system. The proposed algorithm continuously learns and adapts to the changes in the environment by devising an optimal policy. The proposed RL-DFSA was evaluated through extensive simulations and compared with the variants of EPC-C1G2 algorithms that are currently being used in the commercial readers. Based on the results, it is concluded that RL-DFSA performs equal or better than EPC-C1G2 protocol in delay, throughput and time system efficiency when simulated for sparse and dense environments while requiring one order of magnitude lesser control message exchanges between the reader and the tags.

Radio Frequency Identification

2011 ◽  
pp. 502-526
Author(s):  
Róbert Schulcz ◽  
Gábor Varga
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Common Coding ◽  
Coding Schemes ◽  
Data Capacity ◽  
History Of ◽  
Frequency Identification ◽  
The Common ◽  
System Selection ◽  
Reading Distance

In this chapter, we will start by briefly summarizing the history of radio frequency identification systems. After that, we will introduce the components of such systems and classify them based on programmability, data capacity, frequency, and reading distance, as well as power supplement and reply transfer methods. We will describe the various coupling types used in RFID systems, present the common coding schemes and modulations, and give an overview of the standardization efforts. This chapter will focus on collision detection and resolution algorithms and conclude by practical suggestions on RFID system selection for different tasks.

The RFID Indoor Positioning Algorithm Based on Lagrange Interpolation

2014 ◽  
Vol 998-999 ◽  
pp. 947-950
Author(s):  
Hui Bao ◽  
Jiu Ying Zhi
Keyword(s):  
Radio Frequency Identification ◽  
Linear Interpolation ◽  
Virtual Reference ◽  
Indoor Location ◽  
Original Algorithm ◽  
Reference Tags ◽  
Frequency Identification ◽  
Location Methods ◽  
Positioning Algorithm ◽  
Better Than

This paper analyzes two classic indoor location methods based on Radio Frequency Identification (RFID),LANDMARC and VIRE,and presents a location method based on the lagrange interpolation.Make up for the inadequacy of VIRE algorithm uses linear interpolation to get the virtual reference tags signal strength value lead to inaccurate positioning.Then making improvement to weight definition to make it more accurately reflect the weight of each selected nearest label to get more accurate positioning results. The experimental results show that the improved algorithm is better than the original algorithm has better positioning results and stability.

scholarly journals Perancangan Sistem Parkir Pada Gedung Menara Palma Jakarta

Petir ◽  
2019 ◽  
Vol 12 (2) ◽  
pp. 231-241
Author(s):  
Anggi Oktaviani ◽  
Dahlia Sarkawi ◽  
Agus Priadi
Keyword(s):  
Radio Frequency Identification ◽  
The Road ◽  
Entry Time ◽  
Parking System ◽  
Frequency Identification ◽  
Automatic Parking ◽  
Motorized Vehicles ◽  
Computerized System ◽  
Parking Ticket ◽  
Better Than

Parking pool or parking area is a place provided for parking of motorized vehicles outside of the road whih is provided by individual or institution, including motorized vehicle storage and motorized vehicle garage. In managing the parking pool, the parking owner must have a system to facilitate the processing of the parking area. The existing parking system at Palma tower building Jakarta is still manual, that is by entering the vehicle number into the computer by operator, then printing. The parking ticket provided is only a form of paper containing the vehicle number and vehicle entry time. Payment transactions method made by parking operators are currently not efficient, because the level of officer error when calculate parking fees and change money is high. Deal with these various problems, an idea arises to create a subscription parking system by using an automated parking system. This automated parking system is named with an RFID system (Radio Frequency Identification). The design of this automatic parking system is the best solution to solve the problems that are already running. This computerized system is better than a manual system because this system can run more effectively and efficiently and it is more conducive than the previous system.

scholarly journals An Efficient Approach to Detecting Missing Tags in RFID Data Stream

2018 ◽  
Vol 11 (3) ◽  
pp. 1204
Author(s):  
Nur’Aifaa Zainudin ◽  
Hairulnizam Mahdin ◽  
Deden Witarsyah ◽  
Mokhairi Makhtar ◽  
Mohd Izuan Hafez Ninggal ◽  
...  
Keyword(s):  
Radio Frequency Identification ◽  
Data Stream ◽  
Detection Algorithm ◽  
Identification System ◽  
Rfid Technology ◽  
Detection Problem ◽  
Tag Identification ◽  
Business Decisions ◽  
Frequency Identification ◽  
Better Than

RFID technology is a Radio frequency identification system that provides a reader reading the data item from its tag. Nowadays, RFID system has rapidly become more common in our life because of its autonomous advantages compared to the traditional barcode. It can detect hundreds of tagged items automatically at a time. However, in RFID, missing tag detection can occur due to signal collisions and interferences. It will cause the system to report incorrect tag’s count due to an incorrect number of tags being detected. The consequences of this problem can be enormous to business, as it will cause incorrect business decisions to be made. Thus, a Missing Tag Detection Algorithm (MTDA) is proposed to solve the missing tag detection problem. There are many other existing approaches has been proposed including Window Sub-range Transition Detection (WSTD), Efficient Missing-Tag Detection Protocol (EMD) and Multi-hashing based Missing Tag Identification (MMTI) protocol. The result from experiments shows that our proposed approach performs better than the other in terms of execution time and reliability.

EPCIS Implementation and Customization for Automotive Industry

2014 ◽  
Vol 718 ◽  
pp. 131-136
Author(s):  
Filip Benes ◽  
Jiri Svub ◽  
Pavel Stasa ◽  
Vladimir Kebo ◽  
Jakub Unucka
Keyword(s):  
Information System ◽  
Czech Republic ◽  
Research And Development ◽  
Radio Frequency ◽  
Automotive Industry ◽  
Radio Frequency Identification ◽  
First Year ◽  
The Czech Republic ◽  
Frequency Identification ◽  
The Common

The article deals with the possibilities and advantages of implementing radio-frequency identification technology (hereinafter referred to as “RFID”) and the electronic product code information system (hereinafter referred to as “EPCIS”) in manufacturing facilities in the Czech Republic. It describes the common efforts of many partners aimed at establishing and implementing a customized system supporting members of the logistics and manufacturing chain, in particular, in the automotive industry. The article describes research and development in the field of EPCIS systems and experience of a RFID laboratory in the field of EPCIS, summarizing the steps achieved in the first year of the project.

scholarly journals Using RFID in supply chain and retail store unit

2012 ◽  
Vol 51 (No. 9) ◽  
pp. 427-434
Author(s):  
M. Záboj
Keyword(s):  
Supply Chain ◽  
Radio Frequency Identification ◽  
Value Chain ◽  
Distribution Channel ◽  
Retail Store ◽  
Modern Information Technology ◽  
Frequency Identification ◽  
The Common ◽  
Modern Information ◽  
Final Consumer

  The paper deals with the very actual sphere of using new tool within the frame of entire supply chain from manufacturer towards consumer. The common idea is a management of the flow of goods by the method which should be enable more effective identification, control, tracking and many follow-ups processes in the distribution channel. Even in retail store, the final consumer could use this instrument for his/her increased satisfactory and comfort during his/her shopping. Presumption for realisation of this goal becomes the implementation of a new phenomenon RFID (radio frequency identification) into current operations performed throughout the all levels of value chain with using modern information technology.  

The Research of Clothing Identification Based on RFID Technology of IOT

2012 ◽  
Vol 220-223 ◽  
pp. 3034-3037
Author(s):  
Xiao Luo ◽  
Fei Guo
Keyword(s):  
Radio Frequency Identification ◽  
Group Identification ◽  
Automatic Identification ◽  
Identification Algorithm ◽  
Rfid Technology ◽  
Identification Method ◽  
Recognition Result ◽  
Frequency Identification ◽  
Simulation Results ◽  
Better Than

Radio frequency identification (RFID) technology is a kind of the non-contact automatic identification technology. Clothing identification has many and complex characteristics, the existing clothing identification method have many defects. In order to adapt to the mass production demands of modern clothing enterprise, this paper puts forward the new clothing identification method based on RFID. And the anti collision algorithm is the key and prerequisite technology to identify targets correctly. Thus, based on the study of the existing anti collision algorithms, we discuss the problem of tags’ collision, analysis and contrast the existing algorithms. And then, the paper proposes the new anti collision algorithm. According to the improved algorithm, the labels are divided into several groups, and then identified correctly by the group identification algorithm. By the results of recognition result, we can estimate the number of the labels in the appointed area, and adjust the algorithm corresponding. The simulation results show that the algorithm is much better than the traditional anti ones.

scholarly journals Wearable Textile UHF-RFID Sensors: A Systematic Review

Materials ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 3292
Author(s):  
Chengyang Luo ◽  
Ignacio Gil ◽  
Raúl Fernández-García
Keyword(s):  
Systematic Review ◽  
Radio Frequency Identification ◽  
High Frequency ◽  
State Of The Art ◽  
Learning Technology ◽  
Uhf Rfid ◽  
New Materials ◽  
Frequency Identification ◽  
The Common ◽  
Short Time

Textile radio-frequency identification operating in ultra-high frequency (UHF-RFID) sensors based on different scenarios are becoming attractive with the forthcoming internet of things (IoT) era and aging society. Compared with conventional UHF-RFID sensors, textile UHF-RFID sensors offer the common textile features, light weight, washability and comfort. Due to the short time and low level of development, researches on the integration of textile UHF-RFID techniques and textile sensing techniques are not flourishing. This paper is motivated by this situation to identify the current research status. In this paper, we provide a systematic review of the fundamentals of textile UHF-RFID sensors techniques, materials, the brief history and the state-of-the-art of the scenario-based development through detailed summary and analysis on the achievements from the starting year of 2004 to the present time. Moreover, according to the analysis, we give a proposal of the future prospects in several aspects, including the new materials and manufacturing processes, machine learning technology, scenario-based applications and unavoidable reliability.

scholarly journals Smart Car Parking Mobile Application based on RFID and IoT

2019 ◽  
Vol 13 (05) ◽  
pp. 4
Author(s):  
Aekarat Saeliw ◽  
Watcharasuda Hualkasin ◽  
Supattra Puttinaovarat ◽  
Kanit Khaimook
Keyword(s):  
Radio Frequency Identification ◽  
Mobile Application ◽  
Web Application ◽  
Time Saving ◽  
Traditional System ◽  
Parking Lot ◽  
Parking Management ◽  
Frequency Identification ◽  
The Common ◽  
University Department

The common problem that is mostly found in urban area and the organizations service numbers of people such as government places, university, department store, and hospital, is the insufficient car parking. This problem is the result of the continuing increasing number of vehicle. Further, the car parking management is insufficient so the service users waste their time and fuel trying to look for the available parking. The objective of this research was to develop mobile application for smart car parking using Radio-Frequency Identification (RFID) and Internet of Thing (IoT) which can detect the available parking lot so it is time saving for people. Moreover, the parking area management is more efficient as it minimizes the limitation of traditional system which the users have to access web application which is unable to automatically alert when the parking lot status has changed. Further, the data can be applied to the management and planning such as analyzing numbers of vehicle daily to compare with the parking lot if it is sufficient or not in order to improve and provide more parking space appropriately.

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