Automatic Attendance Management System Using Face Detection
Objective
The main objective of the Automatic Attendance management System using face Detection system is to make the attendance management system fully automatic, simple and easy. This project also aims to develop an automated attendance management system that records the attendance by using facial recognition technology for those who are present during sessions, shifts or classes.
Abstract
The development of 5G technology and other communication technologies have promoted the progress of mobile applications such as live video streaming, smart cities, and smart transportation.
These applications require communication networks to meet large bandwidth, large capacity, low latency and low power consumption. Therefore, Mobile edge computing (MEC) which is a promising technology has received widespread attention. We propose a mobile edge computing task scheduling algorithm in a multi-user multi-tasking environment.
The algorithm takes into account the time sensitivity of mobile applications. We optimize the traditional task scheduling algorithm with the user's minimum average execution time and minimum computing energy consumption as the goals.
Keywords: Mobile Edge Computing, Deadline Requirement, Scheduling Algorithm, Priority.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
HARDWARE SYSTEM CONFIGURATION:
- Processor- I3/Intel Processor
- Ram- 4GB (min)
- Hard Disk- 160GB
SOFTWARE SYSTEM CONFIGURATION:
- Operating System: Windows 7/8/10
- Application Server: Tomcat 9.0
- Front End: HTML, JSP
- Scripts: JavaScript.
- Server side Script: Java Server Pages.
- Database: My SQL 6.0
- Database Connectivity: JDBC.
Learning Outcomes
- Uses of Unsupervised Learning.
- Importance of classification.
- Scope of malware detection.
- Use of NLP techniques.
- Importance of PyCharm IDE.
- How CNN works.
- Difference between LSTM and RNN.
- Process of debugging a code.
- Input and Output modules
- How test the project based on user inputs and observe the output
- Project Development Skills:
- Problem analysing skills.
- Problem solving skills.
- Creativity and imaginary skills.
- Programming skills.
- Deployment.
- Testing skills.
- Debugging skills.
- Project presentation skills.
- Thesis writing skills.
Related Projects
Paper Publishing
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Disclaimer - Takeoff Edu Group Projects are not associated or affiliated with IEEE in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, not projects of or by IEEE.
