Paper PublishingReal Time Face Recognition for Library Check in Check out System
Objective
The main objective of the project is to detect the face and to maintain library check in check out database.
Abstract
AWS Cloud-based data storage solutions have seen a spike in attention from academics and business in recent years because to their effective and low-cost administration. Service providers must utilise secure data storage and sharing protocols to maintain data confidentiality and service user privacy since they deliver services via an open network. In previous days all the library login and logout information is stored in records (books) manually. There is a chance of data loss by maintain books and difficult to maintain multiple records. So we are proposing a smart way to maintain faculty/student login and logout library information by using face recognition based Deep learning techniques called CNN which stands for Convolution Neural Networks.
Keywords: face recognition, Library Check in Check out, OpenCV.
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:
- Operating system : Windows 7 or 7+
- RAM : 4GB (min)
- Hard disc or SSD : More than 250 GB (min)
- Processor : 13/intel processor (min)
Software:
- Application Server : Xampp
- Front End : HTML, JSP
- Scripts : JavaScript.
- Technology : Python.
- Database : My SQL 6.0
- IDE :Pycharm.
Learning Outcomes
Practical exposure to
· Hardware and software tools
· Solution providing for real time problems
· Working with team/individual
· Work on creative ideas
· Testing techniques
· Error correction mechanisms
· What type of technology versions is used?
· Working of Tensor Flow
· Implementation of Deep Learning techniques
· Working of CNN algorithm
· Working of Transfer Learning methods
· Building of model creations
· Scope of project
· Applications of the project
· About Python language
· About Deep Learning Frameworks
· Use of Data Science
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