Facial attendance and Auto seating arrangement
Author(s):
Poras Chahande, Dr. Archana Potnurwar, Saurabh Meshram, Jayesh Nandurkar , Pranali Bele, Bhagyshree Aware
Keywords:
Exam; Seating Plan; Seat Allocation; Algorithm; Facial recognition.
Abstract
Face recognition technology is an important part of today's digital world, and it is used in a variety of different industries. One of the most common uses for face recognition technology is security, identification, and authentication. Although face recognition technology is less accurate than other types of biometric identification, it is still commonly used because it is non-invasive and contactless. Additionally, face recognition technology can be used in businesses, schools, colleges, and other places to track attendance. The goal of this system is to create a face recognition-based class attendance system, as the current manual attendance method is time-consuming and difficult to maintain. Additionally, there is potential for a proxy to show up, which increases the demand for this system. When the number of students, subjects, departments, and rooms in a school increase, seating management becomes a complex issue. This is especially true when it comes to exams, as there is often a need to seat as many students as possible in a given space. Maintaining an exam environment with good seating is one of the difficult tasks for institutions. This project provides a solution to seating problems that can be achieved through the execution of a proposed chromatic polynomial algorithm. This project provides a solution for preventing some exam hall plagiarisms by arranging seats for a large number of students and it also finds out the best combination of rooms to be assigned for the exam to organize perfect seating based on the capacity of the exam hall, number of students, and the different subjects being studied. It also has some features to generate reports for absentee’s lists using image processing. The examination has a seating plan with different arrangements for different groups. The seating allocation is based on an algorithm and facial recognition is used to determine who should be seated where.
Article Details
Unique Paper ID: 158475

Publication Volume & Issue: Volume 9, Issue 9

Page(s): 556 - 559
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