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.

scholarly journals Design and Development Of Lecturer Attendance System Using Radio Frequency Identification (RFID)

2021 ◽  
Vol 10 (1) ◽  
pp. 15-27
Author(s):  
I Gede Sujana Eka Putra ◽  
Anthony Lee ◽  
I Made Tirta Mahayana ◽  
I Gede Agung Wicaksono Dharmayasa
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Web Application ◽  
Academic Staff ◽  
Near Field ◽  
Literature Study ◽  
Master Data ◽  
Presence Data ◽  
Frequency Identification ◽  
The University

Lecturer attendance record is required by the university to know the presence of lecturers in teaching in class. In general condition, lecturer attendance is recorded on the attendance sheet, or input to web application accessed on a class computer. However, there are some problems in its implementation so that at the end, lecturer presence is carried out using a manual form where the academic staff needs to re-enter the lecturer attendance data into the applications. Based on the above, the authors designed and developed a lecturer attendance information system to record lecturers' attendance using radio frequency identification technology by implementing a near field communication card (NFC Card). The device used to record and read presence data during lectures, by tapping an Mi-fare NFC card to an NFC reader / writer device. The flow of this research method begins with a literature study of NFC card, observe the flow of lecture attendance process and data recorded into lecturer attendance sheet, analyzing the database design, the system design which has compatible with NFC reader and writer devices, designed system interface and continue to develop system. The result is system consists of master data, system attendance, verification and reporting module. The results show that NFC card implementation is more practical for lecturers in conducting lecture attendance and NFC card could be tapped out into an NFC device at a maximum distance up to 7 cm with the reading angle relative to NFC reader/writer with range 00 until 300 can read NFC Card.

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.

scholarly journals RFID Based Embedded System for Sustainable Food Management in an IoT Network Paradigm

2019 ◽  
Vol 11 (9) ◽  
pp. 189
Author(s):  
Raúl Parada ◽  
Alfonso Palazón ◽  
Carlos Monzo ◽  
Joan Melià-Seguí
Keyword(s):  
Embedded System ◽  
Radio Frequency Identification ◽  
Web Application ◽  
Eating Habits ◽  
Economic Benefits ◽  
Sustainable Food ◽  
Food Management ◽  
Future Improvement ◽  
Healthy Eating Habits ◽  
Frequency Identification

A third of the food produced in the world ends up in the rubbish, enough to put an end to world hunger. On the other hand, society is increasingly concerned to bring healthy eating habits. A RFID (radio frequency identification) food management system is designed to palliate the previously described issues in an Internet of Things (IoT) network paradigm. It consists of RFID readers placed on a user’s kitchen furniture, which automatically reads food information. There is no need for direct sight between reader and tag, as it occurs through the barcode technology. As a complement, a multi-platform web application is developed, allowing its users to check the date of food expiration and other detailed information. The application notifies the user when a product is about to expire. It also offers recipes that might be prepared with available foods, thus preventing them from being wasted. The recipes are accompanied by their nutritional information, so that the user can exhaustively monitor what he/she eats. This embedded system may provide economic benefits to the manufacturer, since it allows supermarkets to pay for displaying their products advertised through the application. After system deployment, design conclusions are shown, and future improvement points are indicated.

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 Design And Development Of Smart Parking Management System

10.31645/07 ◽  
2020 ◽  
Author(s):  
Syed Saad Azhar ◽  
◽  
Arshad Arshad ◽  
Abdul Rehman
Keyword(s):  
Carbon Emissions ◽  
Mobile Application ◽  
Parking Lots ◽  
Modern Age ◽  
Greenhouse Emissions ◽  
Innovative Solutions ◽  
Parking Lot ◽  
Parking Management ◽  
Smart Parking ◽  
Increasing Demand

The parking systems in the modern age are under tremendous stress as the number of vehicles on the roads are increasing every year. Due to this increase, the current parking lots do not suffice which leads to people driving for parking spaces thus wasting valuable time and adding to the greenhouse emissions. Therefore, new efficient and innovative solutions need to be developed which meets the ever- increasing demand for parking spaces and be as environmentally friendly as possible. The solution devised in this project is an enhancement of the current parking system with an integrated mobile application which allow drivers to remotely monitor parking lots, make reservation for a spot prior to visiting the parking lot and make in app payments for the parking services. This reduces the time spent in looking for parking spots as well as reduces the unnecessary carbon emissions while offering a practical and seamless parking experience to the users.

scholarly journals Application of a Radio Frequency Identification System for Supporting the Performance of Motorcycle Parking in Narotama University

2017 ◽  
pp. 319-326
Author(s):  
Sri Wiwoho Mudjanarko ◽  
Tubagus Purworusmiardi
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Identification System ◽  
Accurate Data ◽  
Registration Process ◽  
Parking System ◽  
Parking Management ◽  
Frequency Identification ◽  
User Friendly ◽  
Parking Facilities

The increasing number of motorcycles in Indonesia creates enormous problems because of the hectic involved; thus, parking management becomes a big challenge. The applicability and the possibility of a Radio Frequency Identification (RFID) were studied in finding the solution of this pressing issue. The study was conducted at Narotama University which is located in Surabaya, East Java. This study was expected to find solutions related to provide parking facilities using RFID method to identify motorcycles. The goal of this study is to determine the number of motorcycle vehicles which is being parked electronically to facilitate the management in organizing motorcycle in parking facilities. Hence, the management can arrange the requirement of parking system in the future. From the study, it can be concluded that RFID can make the process faster and easier so that the line can significantly be reduced and provide more user friendly system because the system will give the information about parking availability. Moreover, this RFID parking system and the software can be more reliable and secured due to more complete and accurate data in the registration process required to the users.

scholarly journals Implementasi RFID dan NodeMCU Untuk Data Kunjungan Perpustakaan Berbasis IoT

2020 ◽  
Vol 4 (2) ◽  
pp. 264
Author(s):  
Amri Yahya Khadafi ◽  
Ucuk Darussalam ◽  
Winarsih Winarsih
Keyword(s):  
Radio Frequency Identification ◽  
Web Application ◽  
Electromagnetic Waves ◽  
Educational Institutions ◽  
Automatic Identification ◽  
Radio Waves ◽  
National University ◽  
Frequency Identification ◽  
Database Program ◽  
The Media

Radio Frequency Identification (RFID), automatic identification by storing and sending data wirelessly via RFID card or transponders. A variety of recent applications of RFID have been developed in various sectors of life, especially related to identification via radio waves both in the field of automotive, biomedical, educational institutions, police, banks, transportation, and others. The purpose of this research is to design an RFID application in the field of libraries, so that RFID can be used as an alternative solution other than the barcode as the media identification data stored neatly in a book database program through the support of electromagnetic waves. At present we know that the national university library still uses paper to fill in the visit, to resolve the issue data from testing using the RFID method and the NodeMCU microcontroller, it can send data to a web application and can be stored in a database, It is expected that from the results of testing this application can solve the problems that exist in the library that previously members wrote a visit data to enter the future only need to tap the card to enter and do not need paper as a registration medium

scholarly journals Centralized Connectivity for Multiwireless Edge Computing and Cellular Platform: A Smart Vehicle Parking System

2018 ◽  
Vol 2018 ◽  
pp. 1-23 ◽  
Author(s):  
Aamir Shahzad ◽  
Jae-young Choi ◽  
Naixue Xiong ◽  
Young-Gab Kim ◽  
Malrey Lee
Keyword(s):  
Radio Frequency Identification ◽  
Web Application ◽  
Smart Devices ◽  
Integrated Network ◽  
Smart System ◽  
Mapping Strategy ◽  
Parking System ◽  
Frequency Identification ◽  
Real Time Information ◽  
Smart Vehicle

This study takes an intuitive step to develop the user-convenient smart vehicle parking system (SVPS), a smart system able to manage the massive crowd of vehicles during parking searching and do the better jobs of parking reservation and management, with the shorter-path processing tactics. For that, this study inclusively employed the mapping strategy, where the system parking points are prevalent, to assist the users to get the parking information fast and conveniently. This study is comprised of the several parking points systematically spread over the several locations and traceable over the available graphical map, and the overall information is easily accessible using smart devices. For parking information, a smart web application which is another important module of this study is designed, with which the SVPS system’s registered users are able to access all the services provided for smart vehicle parking searching and reservation in efficient and reliable ways. An integrated network approach, RFID (radio frequency identification) and wireless sensors network (WSN), called RF-WSN, is employed to retrieve the real-time information from the installed and configured sensor devices in RFID-WSN network.

scholarly journals IoT-Based Car's Parking Monitoring System

2018 ◽  
Vol 164 ◽  
pp. 01002
Author(s):  
Albertus Ega Dwiputra ◽  
Handry Khoswanto ◽  
Raymond Sutjiadi ◽  
Resmana Lim
Keyword(s):  
Internet Of Things ◽  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Data Transmission ◽  
Data Transfer ◽  
Measuring Time ◽  
Accuracy Level ◽  
Parking Lot ◽  
Frequency Identification ◽  
Rate Of Success

Internet-of-things-based technologies have advanced so much and helped public necessities. The use of IoT at a parking lot will help vehicle users to know the availability of a parking location through smartphones. This IoT-based parking system is created by using controllers, sensors, servers and cloud. Controllers and sensors will be placed on the ceiling of each parking slots to detect the presence of a car. Server collect the results of the sensors and store them in Cloud. System test is conducted by installing three sensor circuits and server in a parking lot. The tests consist of measuring time that required for data transmission and the rate of success of data transmission from the parking lot to the Cloud. Based on above tests, it is observed that the sensor circuit and Radio Frequency Identification are able to transmit the parking lot data without error. This system require maximum 1 min to update parking lot data. The process of obtaining data until the data being stored in Cloud takes 12 s and the process of acquiring parking condition data from Cloud to smartphone takes 30 s. The accuracy level of parking lot data transfer is 100 %.

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