Design of Attendance Monitoring System Using RFID

Aravindhan, K.; Sangeetha, S.; Periyakaruppan, K.; Keerthana, K.P.; SanjayGiridhar, V.; Shamaladevi, V.

doi:10.1109/icaccs51430.2021.9441704

Cited by 22 publications

(6 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…When an individual with a Passive tag or transponder approaches the entry point, the RFID reader detects the tag, compares the stored information with a database of authorized individuals, and unlocks the entry point for authorized individuals. Unauthorized individuals are denied entry [13] [14].…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Designing a Vehicle Tracking System Using Rfid Technology

2023

IRJMETS

View full text Add to dashboard Cite

The use of RFID (Radio Frequency Identification) technology is growing rapidly in various industries such as healthcare, construction, hospitality and transportation. With the increasing number of motor vehicle thefts in Zambia, there is a need for a system that can track vehicles in real-time to aid in their recovery and the capture of suspects. The objective of this study is to create a preliminary Radio-Frequency Identification (RFID) system capable of swiftly identifying and tracking stolen vehicles. The proposed RFID system uses passive tag that are placed on the vehicle, which act as a unique ID number. These tags are read by a RFID reader, and the information is stored on a centralized server. When a vehicle is reported stolen, the system searches for the reported tag using an algorithm that compares the tag ID on the vehicle with the ID logged as stolen in the database. Once the stolen vehicle is located, necessary security measures will be activated to secure the vehicle. The prototype of the RFID system is built using an RFID reader, python-based software, a database server, and passive tag. The development of this RFID system will be an effective measure in reducing the number of motor vehicle thefts by tracking and locating stolen vehicles in real-time.

show abstract

Section: Related Workmentioning

confidence: 99%

“…The data collected from the RFID scans tracks attendance and attendee movement throughout the event, which can enhance the overall event experience and be used for post-event analysis and reporting. RFID technology can also validate attendance at specific sessions or areas, providing a more precise record of event attendance [13].…”

Section: Related Workmentioning

confidence: 99%

Designing a Vehicle Tracking System Using Rfid Technology

2023

IRJMETS

View full text Add to dashboard Cite

show abstract

“…After starting in Wuhan, China, the COVID outbreak has now spread to various parts of the world. Machine learning (ML) can be used in a variety of ways, including text mining, spam detection, video recommendation, picture categorization, and multimedia idea retrieval [ 14 ]. Deep learning is a popular computer paradigm for machine learning, but it is also one of the most expensive.…”

Section: Literature Studymentioning

confidence: 99%

An Empirical Analysis of an Optimized Pretrained Deep Learning Model for COVID-19 Diagnosis

Sangeetha

Kumar

Deeba

et al. 2022

Computational and Mathematical Methods in Medicine

View full text Add to dashboard Cite

As a result of the COVID-19 outbreak, which has put the world in an unprecedented predicament, thousands of people have died. Data from structured and unstructured sources are combined to create user-friendly platforms for clinicians and researchers in an integrated bioinformatics approach. The diagnosis and treatment of COVID-19 disease can be accelerated using AI-based platforms. In the battle against the virus, however, researchers and decision-makers must contend with an ever-increasing volume of data, referred to as “big data.” VGG19 and ResNet152V2 pretrained deep learning architectures were used in this study. With these datasets, we could train and fine-tune our model on lung ultrasound frames from healthy people as well as from patients with COVID-19 and pneumonia. In two separate experiments, we evaluated two different classes of predictive models: one against pneumonia and the other against non-COVID-19. COVID-19 can be detected and diagnosed accurately and efficiently using these models, according to the findings. Therefore, the use of these inexpensive and affordable deep learning methods should be considered as a reliable method for the diagnosis of COVID-19.

show abstract

“…Data input is more timely and accurate thanks to the automatic ID and data gathering technology known as RFID. Microchip and radio frequency technology are combined in RFID to provide a smart system for the identification, monitoring, security, and inventory of things (Aravindhan et al, 2021). In order to maintain track of the number of pupils present in classrooms, institutions, or other settings, attendance is used.…”

Section: Rq4: How Can the Integration Of Various Iot Devices And Tech...mentioning

confidence: 99%

IoT Based Smart Attendance System (SAS) Using RFID

Shah

Abuzneid

2019

2019 IEEE Long Island Systems, Applications and Technology Conference (LISAT)

View full text Add to dashboard Cite

The use of Radio Frequency Identification (RFID) technology is ubiquitous in a number of businesses and sectors, including retail sales, smart cities, agriculture, and transportation. Additionally, educational institutions have started using RFID to track student attendance, combining this technology with Google Sheets and the Internet of Things (IoT) to build a realtime attendance tracking system. For a thorough examination of the creation of a student attendance system, this paper includes a systematic literature evaluation of 21 major research published on IoT based attendance systems employing RFID. This RFID-based attendance system enables automation, eliminating several problems connected with the manual process, such as time wasting, proxies, and the possibility of losing the attendance sheet, in contrast to the traditional attendance system, which depends on manual signatures. By creating a system that automatically registers students' attendance by merely flashing their student cards at the RFID reader, all the aforementioned difficulties may be successfully addressed. This automated method guarantees attendance monitoring accuracy and dependability while also saving time. This paper's conclusion highlights the significant advantages of implementing an IoT-based attendance system based on RFID technology. The suggested solution provides a trustworthy, efficient, and secure alternative to manual attendance techniques, successfully addressing their shortcomings. This paper offers helpful insights for institutions looking to create a cutting-edge attendance system that increases student involvement and academic achievement by looking at guiding principles, best practices, and the successful resolution of difficulties.

show abstract

Design of Attendance Monitoring System Using RFID

Cited by 22 publications

References 2 publications

Designing a Vehicle Tracking System Using Rfid Technology

Designing a Vehicle Tracking System Using Rfid Technology

An Empirical Analysis of an Optimized Pretrained Deep Learning Model for COVID-19 Diagnosis

IoT Based Smart Attendance System (SAS) Using RFID

Contact Info

Product

Resources

About