RFID Module Research Articles

Portable Smart Parking System Using Firebase

Abstract: In those days with the growing influx of population into developed, industrially and technologically sound urban cities, the urgent need to make cities smart is becoming obsolete. Cities are being made intelligent through data sharing, artificial intelligence, machine learning, analytics and thousands of RFIDs. Tags and sensors. There are billions of motor vehicles in the world. Vehicles can only enter if the reader detects a valid RFID tag on the door. An account is kept in the central database for each valid RFID tag. It allows us to monitor and save the time of entry and exit of the vehicle. An Android app is provided to guide the user. This database can also be analyzed to find patterns of days when there was parking demand. Keywords: Smart parking, IOT, Nodemcu, Firebase, RFID module.

Designing Motorcycle Security System Using E-KTP Sensor and SMS Gateway

Motorcycle demand is increasing as well as the cases of vehicle theft in Indonesia. Not only increase theft cases, number of new modes of theft of the motorcycle is also increase. According to the Statistics Supervisory Agency (BPS) data from 2015 to 2018, the data on the number of motorcycles is increasing, starting every year around 126,508,776 motorcycles are sold in Indonesia. In Indonesia, it is estimated that hundreds of motorbikes are stolen every month. How is the feasibility of motorcycle safety devices and the accuracy of the RFID module. Creating a motorcycle security system using a microcontroller-based RFID-RC522 module that can be read accurately and can be monitored in real time using received SMS and test the feasibility of a motorcycle safety device that can be monitored via cellphone. Making this tool using the Prototype method. The prototype is a development method from the previous system. The results of this research are in accordance with the analysis and design that has been made to get the result of an E-KTP-based motorcycle safety device to increase the security of personal items because this device can activate and deactivate motorcycles by using SMS. This tool can also help the community in maintaining security around the surrounding environment so that they can add a double security system to motorcycle vehicles.

Designing Motorcycle Security System Using E-KTP Sensor and SMS Gateway

Motorcycle demand is increasing as well as the cases of vehicle theft in Indonesia. Not only increase theft cases, number of new modes of theft of the motorcycle is also increase. According to the Statistics Supervisory Agency (BPS) data from 2015 to 2018, the data on the number of motorcycles is increasing, starting every year around 126,508,776 motorcycles are sold in Indonesia. In Indonesia, it is estimated that hundreds of motorbikes are stolen every month. How is the feasibility of motorcycle safety devices and the accuracy of the RFID module. Creating a motorcycle security system using a microcontroller-based RFID-RC522 module that can be read accurately and can be monitored in real time using received SMS and test the feasibility of a motorcycle safety device that can be monitored via cellphone. Making this tool using the Prototype method. The prototype is a development method from the previous system. The results of this research are in accordance with the analysis and design that has been made to get the result of an E-KTP-based motorcycle safety device to increase the security of personal items because this device can activate and deactivate motorcycles by using SMS. This tool can also help the community in maintaining security around the surrounding environment so that they can add a double security system to motorcycle vehicles.

RFID-Based Digital Door Locking System

This is an IoT-enabled RFID-based door locking gadget. This door lock system will know how long the door is open and in this door lock system, only those people who register will be able to enter using their card. It uses a servo motor that operates with the help of Arduino. The Arduino board runs with complete programming that is stored inside it. By using this gadget, an owner can track his office and the place where he wants to let the specific people in. It is also very secure. RFID Module, LCD Display Red and Green and Yellow LED Light and Buzzer have also been used in this door lock system. When the door is locked, the yellow LED will be on and when the door lock is open, the green led light will turn on. The Red LED work will alert you that your card is wrong.

RFID-Based Digital Door Locking System

This is an IoT-enabled RFID-based door locking gadget. This door lock system will know how long the door is open and in this door lock system, only those people who register will be able to enter using their card. It uses a servo motor that operates with the help of Arduino. The Arduino board runs with complete programming that is stored inside it. By using this gadget, an owner can track his office and the place where he wants to let the specific people in. It is also very secure. RFID Module, LCD Display Red and Green and Yellow LED Light and Buzzer have also been used in this door lock system. When the door is locked, the yellow LED will be on and when the door lock is open, the green led light will turn on. The Red LED work will alert you that your card is wrong.

Passive RFID Module With LSTM Recurrent Neural Network Activity Classification Algorithm for Ambient-Assisted Living

Human activity recognition from sensor data is a critical research topic to achieve remote health monitoring and ambient-assisted living (AAL). In AAL, sensors are integrated into conventional objects aimed to support targets capabilities through digital environments that are sensitive, responsive, and adaptive to human activities. Emerging technological paradigms to support AAL within the home or community setting offers people the prospect of a more individually focused care and improved quality of living. In the present work, an ambient human activity classification framework that augments information from the received signal strength indicator (RSSI) of passive RFID tags to obtain detailed activity profiling is proposed. Key indices of position, orientation, mobility, and degree of activities which are critical to guide reliable clinical management decisions using four volunteers are employed to simulate the research objective. A two-layer, fully connected sequence long short-term memory recurrent neural network model (LSTM RNN) is employed. The LSTM RNN model extracts the feature of RSS from the sensor data and classifies the sampled activities using SoftMax. The performance of the LSTM model is evaluated for different data size and the hyperparameters of the RNN are adjusted to optimal states, which results in an accuracy of 98.18%. The proposed framework suits well for smart health and smart homes which offers a pervasive sensing environment for the elderly, persons with disability and chronic illness.

Pemanfaatan RFID, Loadcell, dan Sensor Infrared Untuk Miniatur Penukaran Botol Plastik Bekas

An embedded system has been fabricated through the use of the RFID module, load cell, and infrared sensor assisted by the Arduino module. The objectives of this study are to design an embedded system and embed applications and measure the performance of the embedded system through validation tests. The research method was carried out for the realization of a miniature structure, the integrated wiring of electronic devices, and making an application based on Arduino software. Achievements during the validation test of the embedded system were carried out through three conditions. Miniature physique as a place for the subsystems of mechanical drive, controller, and the optimization of the layout of each device is an attempt to attain the hardware handshaking through integrated wiring. Acquiring applications is an attempt to attain soft handshaking. Achievement of hardware and software handshaking is carried out during the validation test, namely checking balances, cash withdrawals, and disposing of garbage. The exchange of garbage for money, after there is a high dimensional qualification with the criteria "#3big", "#2medium", or "#1small" and according to the qualifications for the net mass of the bottle with three criteria "29 grams", "19 grams", or "10 gram”. Overall, the existence of an embedded system for exchanging plastic garbage can be operated according to the design. The miniature independent platforms can be used as a reference for the construction of independent platforms that have a large capacity and are more integrative, as an effort to safeguard the existence of plastic garbage, especially bottles used for beverage packaging.

Upgrading ATM Security Using Finger Vein Authentication and Anti Theft Module

Since crimes pertaining to ATMs have been increasing in recent times, there is a crying need to look into the issue. There have been various systems to prevent the misuse of ATM cards or breaking open the ATM machine but there is a lack of a single system to secure the whole ATM from both physical and logical attacks. This paper proposes a two-module system that contains an RFID and finger-vein authentication module as an alternative to the conventional ATM cards and a Raspberry Pi module for continuous monitoring and automated control when the security of the ATM is at risk. This two-factor authentication and a real-time monitoring system provide better security than the previous techniques which make use of biometric authentication such as fingerprint and face recognition or CCTV cameras.

Increasing the Security of RFID-based Classroom Attendance System with Shamir Secret Share

<p>This paper proposes an attendance system for increasing the security based on Shamir Secret Share algorithm. The use of RFID devices for classroom attendance is still vulnerable to certain attacks. Students usually make use of existing loopholes for prohibited things, such as forged attendance. Shamir Secret Share is a security method based on the Secure Multiparty Computation (SMC) concept. The SMC guarantees not only the confidentiality of external attacks but also of each member in the secure system. In the attendance scenario using Shamir Secret Share, a student and a lecturer must do tapping at the same time; otherwise, the secret that opens the lock for attendance at that class will not be opened. To realize this system, this paper uses two RFID modules, each of which is connected to one nodeMCU microcontroller. Both systems are connected to a database where the Shamir Shared Secret calculation is performed. Some experiment has been implemented for proving the concept. The result shows that some scenarios of fraud in RFID based attendance can be prevented.</p>

Automated Billing Cart Using Arduino

Shopping is simple but waiting on a bill counter makes shopping too boring and a tedious task. The vast amount of rush and cashier preparing the bill with a barcode scanner is too time-consuming and results in long ques. In this project smart cart consists of an automated billing system. So, this automated payment system consists of an RFID reader which is controlled by Arduino. So, whenever the customer puts any product in trolley it is detected and scanned by the RFID module, and the price of the product is displayed on LCD.

Vehicle Fleet Management System and Safety Functions

All over the world use of vehicles is increasing day by day. As well as accident ratio is also increasing with increase in number of vehicles. Maintaining regular service schedule for customers to become difficult in their day to day busy life. Proposed model detects oil consumption and coolant consumption concerns to real-time weather statics with the help of sensors. This system is designed by considering car safety. Which helps to reduce everyday rate of accident occur in all countries. As well as for automobile industries to improve the quality of production in future cars. As per the survey of India, 496762 number of accidents occur in 2016. The use of bright headlight at night time became one of the causes of road accidents. To overcome this problem designed model uses a microcontroller to operate all systems. Subsystems like sensors, RFID module, GPS module, LDR sensor module, Wi-Fi module are connected to the microcontroller to take real-time readings. So that, Microcontroller distinguish all positive and negative results. As per that remaining subsystem take respective action to avoid accidents. Also, the system provides gathering of real-time data with the help of sensors from cars to improve the quality of the product.

Perancangan Sistem Monitoring Kehadiran Mahasiswa Pada Laboratorium FTKI UNAS Menggunakan Teknologi RFID

The recording of student attendance at the FTKI UNAS laboratory is still done manually which causes UNAS to have to input a large amount of attendance data every day. This often results in recording errors caused by human error, not to mention if there is fraud by manipulating attendance data. This study uses a microcontroller to design a student attendance monitoring system digitally by identifying student code from the RFID Tag. The system is designed using RFID and NodeMCU modules which will be sent to the MySQL database and will be displayed on the website page. The test results from 100 data obtained 100% identification success with an average reading distance of 4cm. of 100 presence test data, the system can store data with 100% accuracy for the corresponding data, and can read the presence of errors with 100% accuracy.

Sistem Multi-Sensor Nirkabel Berbasis RFID Untuk Pemantauan Keaktifan Siswa

This study aims to design a multisensor observation system, develop a microcontroller-based prototype with ESP8266 and RFID modules, and analyze the performance of the prototype. From the testing carried out by tagging each time students do activities, the client tag data will be sent to the server, and the results are displayed PLX-DAQ. With the 50 tag cards that have registered the IDs of each student, it shows that those who attend the schedule will be given the logic 1 (otherwise logic 0), and attendance data will be obtained by calculating the number of attendance of students in four types of activities in four locations. The data is transmitted to Data-loggers through two configurations, namely Data-logger as the client (indirect), and Data-logger as a server (direct). From the two configurations, it was found that the configuration of Data-logger as a server had a performance of 19.08% better than Data-logger as a client. From the data processing, it was found that the highest activity of students was the interest in the activities of language institutions (95.92%), followed by religious activities (95.83%), teaching and earning activities (93.88%), and reading (79.59 %)

Attadance system in the teaching and learning process using RFID smart cards

The use of Electronic Cards for Student Attadance ’aims to design and build a system based on Arduino Uno microcontrollers and RFID modules. The system is expected to be able to facilitate lecturers in conducting attendance, reduce the attendance habits carried out by students, and increase the intensity of the use of student sign cards. The Attadance System based on the Arduino Uno microcontroller and RFID module is designed and built through several stages, namely: (1) analysis along with identification of the needs of components and other auxiliary equipment that support the success of system design; (2) designing components and mechanical design as component containers; (3) system implementation; (4) system testing and overall system evaluation. System testing shows the results in the form of a system performance that shows the student’s name, student’s master number, time of entry and when the student exits from the room. This system is equipped with a person counting device in the room, so it can be ascertained that there will not be an incident entrusted because the number of cards scanned can be matched with the number of students in the room.

An Internet of Things Based Smart Waste Management System Using LoRa and Tensorflow Deep Learning Model

Traditional waste management system operates based on daily schedule which is highly inefficient and costly. The existing recycle bin has also proved its ineffectiveness in the public as people do not recycle their waste properly. With the development of Internet of Things (IoT) and Artificial Intelligence (AI), the traditional waste management system can be replaced with smart sensors embedded into the system to perform real time monitoring and allow for better waste management. The aim of this research is to develop a smart waste management system using LoRa communication protocol and TensorFlow based deep learning model. LoRa sends the sensor data and Tensorflow performs real time object detection and classification. The bin consists of several compartments to segregate the waste including metal, plastic, paper, and general waste compartment which are controlled by the servo motors. Object detection and waste classification is done in TensorFlow framework with pre-trained object detection model. This object detection model is trained with images of waste to generate a frozen inference graph used for object detection which is done through a camera connected to the Raspberry Pi 3 Model B+ as the main processing unit. Ultrasonic sensor is embedded into each waste compartment to monitor the filling level of the waste. GPS module is integrated to monitor the location and real time of the bin. LoRa communication protocol is used to transmit data about the location, real time and filling level of the bin. RFID module is embedded for the purpose of waste management personnel identification.

IoT architecture for advanced manufacturing technologies

Abstract Real time tracking of the manufacturing parts in an assembly is a current area of focus in Industry 4.0.And group technology is widely used to classify the manufacturing parts in many manufacturing scenarios. Using controllers attached to RFID module and accelerometers, bulk value of data is produced. This data can be processed further to produce valuable information such as, productivity, stage of processing, quality of the part and machine/tool life prediction. The developed architecture continuously checks for RFID cards. On reading a RFID card, the controller identifies apart and starts storing sensor information until a second RFID reader detects the same part, after a process. This process continues for all incoming parts and the information is stored in a database which can be further processed for valuable output. The machined parts are tracked until assembly and are grouped with respect to geometry, machine operation and materials used. Data such as vibration during machine operation is acquired to monitor the quality of the part and to understand the wear of the tool. The system works with a microcontroller, multiple RFID, SD module, Wi-Fi module and uses SPI protocol for operation and is capable of ensuring the quality of the process and the product. The developed architecture for RFID embedded solution for group technology is integrated with data analytics engine and machine learning module, thereby enabling real-time tracking of part quality and productivity

RTC BASED IMPLEMENTATION OF RFID AND OTP BASED EXAM PAPER LEAKAGE PROTECTION SYSTEM

In this article, the test is the main focus of the educational system. The test's main objective is to find suitable candidates for different positions. There are yearly reports of papers being leaked, leading to the cancellation or postponement of exams. To provide a compact and portable solution, we consequently made the decision to design and install an incredibly safe test paper leakage protection system based on Arduino. In addition, a GSM modem, RFID module, keypad, and electromagnetic lock are used in this system. The university first sends the exam paper to the college in an electronic sealed box called an Electronic Control Box.The Electronic Control Box was created using the Arduino processor, which has an integrated RTC system for device monitoring. If someone tries to open the box before or after the RFID swipe time period, the system alerts the university administration via a GSM SMS (Short Message Service) stating that "some malfunctioning has taken place with the Electronic Control Box". If the passwords don't match, the person with access will get a notification on his phone. A single buzzer sound will indicate that the password entered is wrong. We can therefore conclude that the exam papers have been tampered with.

ATM Crime Prevention and theft Detection model by Wireless Technologies RFID and GSM

The Implementation of Advanced ATM theft avoidance System is brought into world with the perception of ATM wrong doing occurring far and wide. This paper manages the counteractive action of ATM wrongdoing. At whatever point burglary happens, MEMS module is present to detect crime happening at ATM machine. Proposed framework is done by ARM controller based installed framework designed for constant information gathered utilizing a MEMS module. When the theft happens this, designed system automatically alerts alarm such as buzzer, dc motor control gate, GSM sends SMS to authorized person and the status is displayed in LCD to monitor. Simultaneously this framework additionally manages the well lbeing of the client by cautioning the encompassing individuals and close-by police headquarters at whatever point the client is in risky circumstance. Here we utilize RFID module to verify ATM Card. RFID discoveres ATM card can swipe anyplace. It naturally sends burglary alert through GSM, buzzer ready individuals, DC motor entryway lock and all the status is displayed on LCD. Keil software is used to implement programmatically and execute the project successfully.

Advanced ATM Crime Prevention System by using Wireless Communication

The Implementation of Advanced ATM theft avoidance System is brought into world with the perception of ATM wrongdoing occurring far and wide. This paper manages the counteractive action of ATM wrongdoing. At whatever point burglary happens, MEMS module presented to detect crime to ATM machine. Proposed framework done by ARM controller based installed framework designed for constant information gathered utilizing a MEMS module. When the theft happens this designed system automatically alerts alarm such as buzzer, dc motor control gate, GSM sends SMS to authorized person and the status is displays in LCD to monitor. When IR detects misusage of ATM this designed system automatically alerts alarm such as buzzer, dc motor control gate, GSM sends SMS to authorized person and the status is displays in LCD to monitor. Simultaneously this framework additionally manages the wellbeing of the client by cautioning the encompassing individuals and close-by police headquarters at whatever point the client is in risky circumstance. Here we utilizes RFID module to verify ATM Card. RFID discovered ATM card swipe anyplace. It naturally sends burglary alert through GSM, buzzer ready individuals, dc motor entryway lock and all the status displays on LCD. Keil software is used to implement programmatically and execute the project successfully.

PENERAPAN TRAINER INTERFACING MIKROKONTROLER DAN INTERNET OF THINGS BERBASIS ESP32 PADA MATA KULIAH INTERFACING

The absence of props remains a constraint on the learning process interfacing subjects where students have difficulty understanding the material obtained, besides because of the lack of microcontroller practice experience, students don't understand how to operate the microcontroller and also because of the lack of basic knowledge about the microcontroller. The design of the microcontroller interface trainer is intended as a teaching aid to help understand microcontroller interfacing using the UART, SPI, and I2C protocols and can be used as an Internet of Things teaching aid to help students practice monitoring and controlling input output on microcontrollers using smartphones over the internet. In designing this trainer, the author had made direct observations on learning activities in interfacing subjects and conducted questions and answers with several students. This trainer uses RFID, RTC and LCD modules as interfacing props that are connected to the ESP32 microcontroller, and there are components in the form of LEDs and potentiometers to practice the concept of the Internet of Things. The GPIO header pins and microcontroller interface pins expansion are also available on this trainer which can be connected with more modules and other components. Modules and components in the design of this trainer are connected with the ESP32 microcontroller in one integrated circuit board so as to provide practicality in its use.