Smart Library Seat, Occupant and Occupancy Information System, using Pressure and RFID Sensors

Daniel, Okoronkwo Chinomso; Ramsurrun, Visham; Seeam, Amar

doi:10.1109/nextcomp.2019.8883610

Cited by 15 publications

(24 citation statements)

References 7 publications

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“…In a study conducted by Okoronkwo Chinomso Daniel, et.al [1], contemporary times, the Internet of Things (IoT) has profoundly influenced various facets of human existence and the surrounding environment. The IoT paradigm places a central emphasis on connecting virtually everything to the Internet, permeating diverse fields of study.…”

Section: Review Of Literaturementioning

confidence: 99%

“…Information System, using Pressure and RFID Sensors [1] This paper addressed the issue of how library users/staff can remotely monitor seat occupancy status and occupant seat location in the library.…”

Section: Summary Advantages Techstackmentioning

confidence: 99%

“…Existing systems faces the challenges of students and librarian's in locating unoccupied seats, students, and details of seat occupants in the library are central to this research. Students place objects to occupy seat, as a form of impromptu reservations known as seat hogging [1]. Other system uses RFID sensor as an aspect to the vacancy detection however keeping real time surveillance technique have not been discovered by researchers and application had been varied in different sectors but in the major environment had yet to be explored.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Review on Hospital Seat Occupancy System

Dhumwad,

Chauhan,

Pawar

et al. 2024

Int. J. Res. Publ. Rev.

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In the fast-paced realm of modern healthcare, effective resource allocation is crucial, especially within busy hospital settings. This surveillance system offers an innovative solution to tackle the complexities of managing crowds in hospitals. By harnessing cutting-edge surveillance technology and instant data analysis, the system improves patient satisfaction by alerting individuals to available seats in waiting areas, optimizing resource usage, and reducing inconvenience. With a focus on patient welfare, the system aids in the prudent allocation of healthcare resources. Equipping healthcare staff with real-time updates on seat occupancy, the system facilitates proactive measures, ensuring a smooth and orderly patient flow. It represents a groundbreaking approach to hospital crowd control, featuring real-time monitoring and communication capabilities. Through advanced image processing and machine learning, the system continuously tracks waiting area occupancy, promptly informing patients of vacant seats, thereby cutting wait times and enhancing overall contentment. Flexible resource allocation ensures patients are efficiently directed, benefiting both patients and healthcare institutions. With its comprehensive features, this healthcare resource management system addresses immediate crowd management challenges, positioning itself as a holistic solution to enhance patient experiences and overall operational efficiency in healthcare facilities.

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Section: Review Of Literaturementioning

confidence: 99%

Section: Summary Advantages Techstackmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Review on Hospital Seat Occupancy System

Dhumwad,

Chauhan,

Pawar

et al. 2024

Int. J. Res. Publ. Rev.

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“…Wang (2019) researches on library functional layout based on intelligent occupying system; He hopes to introduce some experience of the intelligent seat management system of university libraries to find a more suitable operating scheme for the particular situation of the library. Okoronkwo (2019) presents the design and implementation of a solution combining hardware and web application that allows students and librarians to verify the identity of library seat occupants and occupancy status of the library seats from a remote location over the internet. This system successfully curtails seat monopolizing practice, time wastage in search of unoccupied seats.…”

Section: Literature Reviewmentioning

confidence: 99%

Mobile phone library service: seat management system based on WeChat

Liu

Sun

2021

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PurposeThis paper proposes a systematic method to manage students to use limited seat resources in Chinese university libraries, with the aid of mobile phone app, at the same time, its use is being investigated.Design/methodology/approachUse mixed research methods, quantitative and qualitative research. Through observation, questionnaire and interview to achieve research purpose. The survey was conducted in the library of Nanjing agricultural university.FindingsThe result shows system can offer convenient, accurate, more personalized, mobility service to each user. Actual average seat usage rate is over 51.7% in a day, most of users are satisfied with the seat management system, students' satisfaction degree are 94.8%. It is also an extension of mobile phone library service.Originality/valueSeat management system innovate traditional people-oriented service mode of study room into smart, readers can browse usage information of seats anytime and anywhere, get what they want, service become fast and convenient. In period of COVID-19, the seat system also plays an important role, it is easy for librarians to control the number of students to enter, the trajectory of readers in the library can be tracked and the possible epidemic risk can be accurately prevented and controlled.

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“…[5] invented a seat monitoring system that detects people's actions through Passive Infrared Sensor (PIR) and then judges the seat status. Daniel et al (2019) [6] invented a detection system, which detects seat pressure through a pressure sensor, conducts identity recognition through an RFID sensor, and then detects seat status. But installing a sensor system for each seat means high costs.…”

Section: Introductionmentioning

confidence: 99%

A serial dual-channel library occupancy detection system based on Faster RCNN

Yang¹,

Chang²,

Wang³

et al. 2023

Preprint

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The phenomenon of seat occupancy in university libraries is a prevalent issue. However, existing solutions, such as software-based seat reservations and sensors-based occupancy detection, have proven to be inadequate in effectively addressing this problem. In this study, we propose a novel approach: a serial dual-channel object detection model based on Faster RCNN. Furthermore, we develop a user-friendly web interface and mobile APP to create a computer vision-based platform for library seat occupancy detection. To construct our dataset, we combine real-world data collection with UE5 virtual reality. The results of our tests also demonstrate that the utilization of personalized virtual dataset significantly enhances the performance of the convolutional neural network (CNN) in dedicated scenarios. The serial dual-channel detection model comprises three essential steps. Firstly, we employ Faster RCNN algorithm to determine whether a seat is occupied by an individual. Subsequently, we utilize an object classification algorithm based on transfer learning, to classify and identify images of unoccupied seats. This eliminates the need for manual judgment regarding whether a person is suspected of occupying a seat. Lastly, the web interface and APP provide seat information to librarians and students respectively, enabling comprehensive services. By leveraging deep learning methodologies, this research effectively addresses the issue of seat occupancy in library systems. It significantly enhances the accuracy of seat occupancy recognition, reduces the computational resources required for training CNNs, and greatly improves the efficiency of library seat management.

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Smart Library Seat, Occupant and Occupancy Information System, using Pressure and RFID Sensors

Cited by 15 publications

References 7 publications

A Review on Hospital Seat Occupancy System

A Review on Hospital Seat Occupancy System

Mobile phone library service: seat management system based on WeChat

A serial dual-channel library occupancy detection system based on Faster RCNN

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