ATTENDANCE CAPTURE SYSTEM USING FACE RECOGNITION

1. VENKAT PROJECTS
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ATTENDANCE CAPTURE SYSTEM USING FACE RECOGNITION
ABSTRACT :
For every organization, today attendance is the most impor-tant thing to record the presence of
someone. The presence of someonein an organization is a sign that the person is carrying out
their obliga-tions to come to the agency or organization. Usually, attendance is donemanually. It
can be signed or called one by one. In this digital age, there AQ1must be a change from this
absence to be able to accelerate and providetime efficiency. We can use face recognition to
record attendance fromeveryone present in an organization. In this face recognition, many algo-
rithms are performed to dissect and capture images of someone’s face,such as Machine Learning
and Deep Learning. With this algorithm, thesystem can recognize a person’s face and record
attendance from thatperson so that attendance activities are more efficient and faster.

2. VENKAT PROJECTS
Email:venkatjavaprojects@gmail.com Mobile No: +91 9966499110
Website: www.venkatjavaprojects.com What‘s app: +91 9966499110
EXISTING SYSTEM :
An automated attendance system based on face recognition is a biometricsystem where typically,
it registers the attendance of each student present ina class by detecting and identifying all of
their faces, and then this recordedinformation is ideally transmitted to a server device which may
compute theattendance of each student and store and update the corresponding data in adatabase.
Automated attendance systems are more reliable, rigid, and efficientthan the traditional
attendance systems and other biometric attendance systems,leading to better productivity and
output of both the teachers and students, aswell as better consumption of time.
DISADVANTAGES OF EXISTING SYSTEM :
1) Less accuracy
2)low Efficiency

3. VENKAT PROJECTS
Email:venkatjavaprojects@gmail.com Mobile No: +91 9966499110
Website: www.venkatjavaprojects.com What‘s app: +91 9966499110
PROPOSED SYSTEM:
This paper uses the method of a systematic PRISMA review. By using
thisPRISMA method we can get focus reports from various researches. This
methodhelps in making paper to review attendance technology using facial
recognition.Figure 1is a flow diagram report from the amount of research, journals,
andarticles used in this paper.
ADVANTAGES OF PROPOSED SYSTEM :
1) High accuracy
2)High efficiency

4. VENKAT PROJECTS
Email:venkatjavaprojects@gmail.com Mobile No: +91 9966499110
Website: www.venkatjavaprojects.com What‘s app: +91 9966499110
SYSTEM ARCHITECTURE :

5. VENKAT PROJECTS
Email:venkatjavaprojects@gmail.com Mobile No: +91 9966499110
Website: www.venkatjavaprojects.com What‘s app: +91 9966499110
HARDWARE & SOFTWARE REQUIREMENTS:
HARD REQUIRMENTS :
 System : i3 or above
 Ram : 4GB Ram.
 Hard disk : 40GB
SOFTWARE REQUIRMENTS :
 Operating system : Windows
 Coding Language : python