scholarly journals RFID Based Authentication for Non-contacting Attendance Management during Covid19 Pandemic using Raspberry Pi

2021 ◽  
pp. 14-20
Author(s):  
Raj Gajjar ◽  
Bhargav Patel ◽  
Shailesh Khant
Keyword(s):  
Direct Contact ◽  
Data File ◽  
Raspberry Pi ◽  
Card Reader ◽  
Rfid Tag ◽  
Finger Print ◽  
Corona Virus ◽  
Authentication System ◽  
Fingerprint Sensor

Authentication based attendance is very crucial in this COVID Pandemic situation for employers. Finger print based authentication for attendance system is not preferable because it is based on touching or contacting the finger print sensor. Multiple persons use the same sensor for incoming and outgoing authentication which becomes carrier for spreading the corona virus as another person would be in direct contact of the fingerprint sensor. To avoid this situation RFID based authentication system is proposed and initial stages of it are implemented in this paper. Each employee has given an RFID tag with numbers and names assigned to it. Raspberry Pi module is used which is interfaced with other modules like RFID card reader, LCD interface and GSM module. The contact details authenticated by the system can be saved in data file for further analysis of employees’ attendance. This small innovative step can enhance the efforts made to prevent every user from COVID19.

scholarly journals Iot Based Smart Wallet Security and Fake Currency Detection System

2019 ◽  
Vol 8 (9S2) ◽  
pp. 30-34
Keyword(s):  
Detection System ◽  
Mobile App ◽  
Security System ◽  
Raspberry Pi ◽  
Rfid Technology ◽  
Rfid Tag ◽  
Rfid Reader ◽  
The Status

The main objective is to create a security system for wallet based on RFID technology and also keep an account of how much money is coming inside and going out of the wallet which is done using tcs3200 colour sensor by which we can have an account of the amount of money spent and update the same on the mobile app. So, this project basically alerts the person if the wallet is missing from his/her pocket and also shares the location of the same and also gives the information of how much he/she has spent. The major components used in this paper include Raspberry PI, RFID Reader, RFID Tag, GPS Module, and TCS3200 Colour Sensor. Whenever the RFID card is placed near to the reader, the RFID reader obtains the UID (unique key) information about the card. The location of the wallet is obtained using the GPS Module. This detail is notified to user when the wallet is not connected. The status obtained by the RFID reader and the GPS module is collected by Raspberry PI. Using the PI’s WIFI, the details are posted onto the cloud. All the details posted onto the cloud are accessed via the APP and also through a website portal in case of any emergency

scholarly journals Long-Range Monitoring System with PDMS Material

2018 ◽  
Vol 10 (3) ◽  
pp. 974
Author(s):  
Norsaidah Muhamad Nadzir ◽  
M. K. A. Rahim ◽  
F. Zubir ◽  
H. A. Majid
Keyword(s):  
Monitoring System ◽  
Long Range ◽  
Raspberry Pi ◽  
Uhf Rfid ◽  
Long Distance ◽  
Rfid Tag ◽  
Rfid Reader

This paper describes the development of a long range monitoring system that integrates Cottonwood: UHF Long Distance RFID reader module with Raspberry Pi 3. When a UHF RFID tag is within the UHF RFID reader antenna’s range, the unique ID of the tag will be transferred to the Raspberry Pi 3 to be processed. Then, the data will be sent over to the database wirelessly to be managed, stored, and displayed. The paper also describes the measurement done to determine the most suitable thickness of PDMS material so that it could be incorporated as a wearable transponder. After the result is calculated and tabulated, it can be concluded that the most suitable thickness of PDMS material for the transponder is 8 mm.

scholarly journals To Evaluate Fear and Assess Practice Modification among Dentist against COVID-19 in India – A Questionnaire Based Survey

2021 ◽  
pp. 16-23
Author(s):  
Anil Ingole ◽  
Jayashree Sajjanar ◽  
Jaykumar Gade ◽  
Minal Soni ◽  
Karan Jaiswal ◽  
...  
Keyword(s):  
Direct Contact ◽  
Virus Disease ◽  
Central India ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Corona Virus ◽  
Dental Procedures ◽  
Dental Practitioners ◽  
Current Scenario ◽  
Fear And Anxiety

Introduction: This highly infective new virus, named Severe Acute Respiratory Syndrome-Coronavirus-2 (Sars-CoV-2), is a corona virus responsible of an acute respiratory syndrome, often asymptomatic but potentially lethal, named Corona Virus Disease 19 (COVID-19). Airborne and direct contact contamination is a major infection pathway of Sars-CoV-2. SARS-CoV-2 transmission during dental procedures can therefore happen through the inhalation of aerosol/droplets from infected individuals or direct contact with mucous membranes, oral fluids, and contaminated instruments and surfaces .Therefore, dentists have a high risk of getting infected from patients and potentially spreading it to their peers, families, and other patients. Aim: To evaluate fear and assess practice modification among dentist against COVID-19 in India Materials and Methods: In this cross-sectional study a total of 260 general dental practitioners, postgraduates and graduates across Central India, who were registered under the Dental Council of India, were included in the survey. A questionnaire consisting of 22 Questions with regard to COVID -19 fear and practice modification was designed and the questionnaire was circulated through a web designed program. The responses were collected, and data were analyzed descriptively using SPSS Statistics for Windows version 27.0. Results: There is a description of the fear and anxiety levels of dental care professionals towards COVID-19; 83.85% of participants were afraid of getting infected with COVID-19 from either a patient or a co-worker. While treating a coughing or a patient suspected to be infected with COVID-19, 90% were anxious. In terms of using personal protection, 63.85% believed that a surgical mask is not enough to prevent cross-infection of COVID-19. In comparison, 93.08% favored the use of N-95 masks for routine dental procedures during the current outbreak. Although the majority 91.15% recommended routine universal precautions of infection control. Conclusion: Overall, this study sheds light on the association of COVID-19 factors and fear and anxiety elevated among dentists during working in this pandemic. Covid-19 spread all over world and is worsening day by day. On current scenario several dental practices have either modified their services according to recommended guidelines to emergency treatment only, or closed down practices for an uncertain period.

scholarly journals Fingerprint based exam hall ticket system

2017 ◽  
Author(s):  
Sumesh EP ◽  
Sara Issa Ali Al-Balushi
Keyword(s):  
Liquid Crystal ◽  
Liquid Crystal Display ◽  
Raspberry Pi ◽  
Finger Print ◽  
Sql Database ◽  
Scanned Image ◽  
Student Information

Fingerprint Based Exam Hall ticket Systems are best solutions for universities, colleges and schools. This system is help faculty in reduce the proportion of cheating by entering only authorized persons into exam hall instead of using ID card and help the students in Identify their seats number and knowing the exam module name. Used fingerprint scanner has memory, which can store up to 200 finger print. In addition this system contain database of student information which updated every semester. This system is achieved with the use of fingerprint module, raspberry pi3 and Liquid Crystal Display (LCD) module. When device is switched on to use, student will ask to scan his/her finger, the scanned image will be matched with the stored image to check if its match or not using optical algorithm, the code of fingerprint will be sanded to the SQL database of the raspberry pi.

scholarly journals Rfid Based Cash Wallet for Parking Garages using Timestamp

2020 ◽  
Vol 9 (1) ◽  
pp. 1932-1936
Keyword(s):  
Human Activity ◽  
Raspberry Pi ◽  
Time Duration ◽  
Rfid Tag ◽  
Vehicle Identification ◽  
Public Areas ◽  
Parking Garages ◽  
Empty Slot ◽  
Parking Place

With the increase in usage and availability of vehicles, finding an empty parking slot becoming very difficult in many public areas. So there is a requirement for a device that identifies empty slots in a parking place and also keeps the track of vehicles which are already parked very expertly. This task reduces human activity on the parking location in searching of empty slots and scheming the payment based on the timestamp i.e. how much time the vehicle is parked at the particular slot based on the use of parking place with the resource of money pockets. Some of the steps included in this functioning are vehicle identification, detection of empty slot and scheming of amount based on the time duration of parking. Vehicle identification is achieved with the use of RFID Tag, slot detection is also shown and amount calculation is done on the duration of parking. Here we are connecting all of the sensors to Raspberry pi to stumble on RFID Tag and deduct the charge from the cash wallet.

scholarly journals Iot Based End to End Solutions for Industrial Surveillance using Raspberry Pi

2020 ◽  
Vol 9 (3) ◽  
pp. 515-519
Keyword(s):  
Programming Languages ◽  
Temperature Control ◽  
Temperature Sensor ◽  
Surveillance System ◽  
Data Flow ◽  
Communication Protocol ◽  
Raspberry Pi ◽  
Entry And Exit ◽  
Workplace Environment ◽  
Finger Print

The proposed system introduces an industrial surveillance system providing a secure data flow with privacy & authenticity in the domain of Automation. This system makes use of Raspberry Pi to provide automation in a workplace environment, utilizing the benefits of IoT. It is used in an industrial scenario for authenticating and monitoring entry and exit of employees, automatic turning ON/OFF of lights and temperature control. All operations are controlled by Raspberry Pi which also acts as the server. Programming languages used are Python & C. Entry and exit of employees are authenticated using Finger Print Scanner. All the information of an employee along with finger print template is already enrolled in database. So every time, the input from fingerprint sensor is authenticated with templates in database to provide access and store time logs. Similarly inputs from temperature sensor and LDR are accessed and sent to server for uninterrupted monitoring and safety services. MQTT protocol is used as the communication protocol for transferring data to IOT server.

scholarly journals The bicycle safety system (BiSS) uses fingerprint sensor based on microcontroller and Raspberry Pi

2021 ◽  
Author(s):  
Fajri Maulana ◽  
Muhammad Yusro ◽  
Jusuf Bintoro ◽  
Mufti Ma’sum
Keyword(s):  
Safety System ◽  
Raspberry Pi ◽  
Bicycle Safety ◽  
Fingerprint Sensor

scholarly journals Providing Authentication by Using Biometric Multimodal Framework for Cloud Computing

2015 ◽  
Vol 15 (3) ◽  
pp. 591
Author(s):  
R. Parimala Mala ◽  
C. Jayakumar Kumar
Keyword(s):  
Current Trend ◽  
Ease Of Use ◽  
Biometric Authentication ◽  
Security Systems ◽  
Finger Print ◽  
Multimodal Systems ◽  
Fully Automatic ◽  
Authentication System ◽  
Secret Knowledge ◽  
A Current

Secret knowledge, like remembering password or token based authentication systems are deemed inconvenience and difficult to use for users such as password may be forgotten or token may be lost. So burdens like remembering password and stolen or forged token based authentication have raised a current trend of biometric authentication system. Now in this current tech world, everyone needs security everywhere to protect our personal gadgets.  So to keep it secured, biometric based approach can be applied for better convenience and ease of use for the user. In this paper, a novel hybrid multimodal approach for ear recognition and finger print recognition has been presented for better robustness and efficiency which can be applied in various fields of applications like authentication in banking transactions. Biometric based human recognition is rapidly gaining popularity due to breached of traditional security systems and the lowering cost of sensors. This paper comprehensively reviews multimodal recognition using ear pattern and finger print data, it is concluded that further research should investigate fast and fully automatic ear-finger print multimodal systems robust to occlusions and deformations.

scholarly journals Energy Efficacious IoT Based Nifty Parking Information System

2020 ◽  
Vol 9 (3) ◽  
pp. 3151-3156
Keyword(s):  
Information System ◽  
Traffic Management ◽  
Recognition Algorithm ◽  
Energy Utilization ◽  
Raspberry Pi ◽  
License Plate ◽  
Parking Space ◽  
Rfid Tag ◽  
Camera Module ◽  
Mode Of Transportation

Urbanization has inflated populace. This has upsurged traffic and pollution turning traffic management into a tangible reality. Gazillions of people around the globe prefer ownership of private vehicles over public mode of transportation. There is an imbalance between the available parking space and demand. The proposed Internet-of-Things (IoT) based nifty parking information system (IPIS) module is deployed on-site to monitor vehicles, signal the availability of parking space to the user, facilitate reservation of the parking slot and thereby reduce the time in finding the parking slot. MIT App Inventor creates applications on Android operating system to facilitate slot reservation for authenticated users. IPIS integrates IoT based Raspberry Pi module with the mobile Application to design an eased parking system operable with minimal energy. The user details are recorded in a server database. Based on this, an RFID tag permits user entry and exit into the parking slot. A Raspberry-Pi(R-Pi) camera module captures the license plate image and uses image recognition algorithm to match the license plate of the vehicle with the database, authenticates and then allows the member to park his vehicle in the respective slot. IPIS provides highly secured, double verified user vehicle authentication. The Raspberry- Pi also adjusts the intensity of the lights using machine learning based on the density of the traffic recorded by the camera module. This research focuses on slot reservation for authenticated users, providing map guidance to the booked slot, maximizing slot utilization, facilitating with vehicle and user timestamp transit details in real time for surveillance, conserving parking slot light energy utilization while regulating the cars through parking spaces and also performs predictive analysis on evaluating the optimum distance between the camera and number plate for recognition and power dissipation.

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