Design and Development of Facial Recognitionbased Library Management System (FRLMS)

Rao, Vegnish Rao Paramesura; Puwakpitiyage, C. A. Hewawasam; Shafiq, Dalia Abdulkareem; Islam, Farhana; Handayani, Dini; Yacoob, Hamwira; Mantoro, Teddy

doi:10.1109/icced.2018.00032

Cited by 2 publications

(1 citation statement)

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“…A deepfake allows a malicious person to manipulate another person's facial expressions (e.g., happy, sad, angry, fearful, neutral, disgusted, and surprised) when captured on video and replay the deepfake video to commit identity fraud and theft [24]. Other works discussed relational extractions combined with facial recognition [25,26]. Other real time face recognition systems [27] and other types of objects [28,29].…”

Section: Facial Recognitionmentioning

confidence: 99%

A Privacy-Preserving System Design for Digital Presence Protection

Yocam¹,

Alomari²,

Gwanmeh³

et al. 2023

Computers, Materials &Amp; Continua

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A person's privacy has become a growing concern, given the nature of an expansive reliance on real-time video activities with video capture, stream, and storage. This paper presents an innovative system design based on a privacy-preserving model. The proposed system design is implemented by employing an enhanced capability that overcomes today's single parameterbased access control protection mechanism for digital privacy preservation. The enhanced capability combines multiple access control parameters: facial expression, resource, environment, location, and time. The proposed system design demonstrated that a person's facial expressions combined with a set of access control rules can achieve a person's privacy-preserving preferences. The findings resulted in different facial expressions successfully triggering a person's face to be blurred and a person's privacy when using a real-time video conferencing service captured from a webcam or virtual webcam. A comparison analysis of capabilities between existing designs and the proposed system design shows enhancement of the capabilities of the proposed system. A series of experiments exercising the enhanced, real-time multi-parameterbased system was shown as a viable path forward for preserving a person's privacy while using a webcam or virtual webcam to capture, stream, and store videos.

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Section: Facial Recognitionmentioning

confidence: 99%

A Privacy-Preserving System Design for Digital Presence Protection

Yocam¹,

Alomari²,

Gwanmeh³

et al. 2023

Computers, Materials &Amp; Continua

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Smart Attendance Monitoring System with Computer Vision Using IOT

Raj

Ahmad

2021

JMM

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The main aim of this project is to create a smart attendance monitoring system which will use the concept of face recognition to identify students. On the basis of this a database will be created containing the information of attendance date wise. Apart from reducing time it will also help in replacing the laborious conventional method of using logbooks. The system also has the feature to send emails to the administrator about the student ‘s attendance status at the time of recognition itself. At the time of closing of the camera absentees’ names will be called out.

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Design and Development of Facial Recognitionbased Library Management System (FRLMS)

Cited by 2 publications

References 0 publications

A Privacy-Preserving System Design for Digital Presence Protection

A Privacy-Preserving System Design for Digital Presence Protection

Smart Attendance Monitoring System with Computer Vision Using IOT

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