10.ATTENDANCE CAPTURE SYSTEM USING FACE RECOGNITION.docx
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This document describes a proposed attendance capture system using face recognition. The existing manual attendance systems are inefficient, but current automated systems using biometrics like face recognition have issues with accuracy and efficiency. The proposed system would use a PRISMA review method and facial recognition algorithms like machine learning and deep learning to capture and identify faces, record attendance, and store the data in a database. This system aims to provide high accuracy and efficiency compared to existing solutions.
10.ATTENDANCE CAPTURE SYSTEM USING FACE RECOGNITION.docx
- 1. VENKAT PROJECTS Email:venkatjavaprojects@gmail.com Mobile No: +91 9966499110 Website: www.venkatjavaprojects.com What‘s app: +91 9966499110 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