Embracing Industry 4.0 – Guidelines for Managers

Nawaz, Samsudeen Sabraz

doi:10.37200/ijpr/v24i2/pr200444

Cited by 2 publications

(1 citation statement)

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“…The following face recognition system is used to maintain attendance record of students. [2] The daily attendance of students is recorded individually by subject which happens to be already stored by the administrator. When the corresponding subject time arrives the system automatically starts taking snaps and also applies face detection and recognition technique to the given image and the students that are recognised are marked as present and their attendance is updated with corresponding time and subject id.…”

Section: Literature Reviewmentioning

confidence: 99%

AI based contactless attendance monitoring and management system

Nithya¹,

Vignesh²,

Devadarsan³

et al. 2022

ijhs

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The traditional methods of attendance marking need to be replaced with an Artificial Intelligence based attendance monitoring system. The process of checking attendance using the existing methods is time consuming and open to easy fraud. The usage of Bio-metrics poses the threat of viruses. A contact-less Attendance Management System (CAMS) is proposed to overcome the above challenges. AI based attendance monitoring system will record the students attendance automatically while they enter the class, by recognizing their faces. The in-time and out-time of the students are also recorded on a regular basis. The Holistic Face Matching algorithm is used to compare the facial images. The total time duration, the students were present inside the class can be easily calculated. There is no chance of fake attendance as each student has to record his or her facial identity. The main objective is to achieve reliability, accessibility and security in a very efficient way. The results showed that by interfacing a face recognition system with a server, a real-time attendance system can be built and be monitored automatically. Finally, the student’s attendance details can be updated in the academic management system.

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Section: Literature Reviewmentioning

confidence: 99%