Attendance Based on Facial Recognition

Project Title

Attendance Based on Facial Recognition

Project Area of Specialization Software EngineeringProject Summary

The system is developed for deploying an easy and a secure way of taking down attendance. The software first captures an image of all the authorized persons and stores the information into database. The system then stores the image by mapping it into a face coordinate structure and  Mark attendence on online portal , at the end of class every student and teacher get E-Mail about attenadce status.

Project Objectives

The objective  of this project is to offer system that simplify and automate the process of recording and tracking students’ attendance through face recognition technology. It is biometric technology to identify or verify a person from image. Through this project we make attendance system smart which is time saving and create accuracy in attendance system.

Project Implementation Method

We use Agile implementation method beause at the same time we work on different modules and we do  changing in implementation to increase system accuracy and performance.

Benefits of the Project

Face recognition based attendance systems are modern utilities that are a requirement of every updated organization .

These systems make employees’ attendance tracking accurate while saving costs and time .

Face recognition based attendance systems are not dependent on a few facial features but they are highly robust and identify a face on several data points. Therefore, these systems can screen for face masks and identify people without removing the mask or any change of facial attributes like beard, specs etc.Such a system also adds a layer of security in the workplace.

Facial recognition systems are the best modern-day solution for tracking employee hours, entry and exit time monitoring  can be fully automated with facial recognition attendance systems. There is no need for human intervention or physical validation as the system’s advanced algorithms can locate and identify faces autonomously. 

Integrating a face recognition attendance system with any other HRMS or Payroll system is quite easy. As these systems are modular and highly customizable, the time-in time-out and date formats can be customized to be compatible with other systems implemented in an organization

Technical Details of Final Deliverable

´Face Detection: Locate faces and take 2D image. Draw bounding boxes around faces and keep the coordinates of bounding boxes. Multiple algorithm are use to detect face in low resolution.

´Face Alignments: Normalize(if face angle is wrong than it rotate round 30 degree) the faces to be consistent with the training database.

´Feature Extraction: Extract features of faces that will be used for training and recognition tasks. If face is not clear (use mask or Anti face) than camera focus on reaming  points of face.

´Face Representation: The System translates the facial data into unique code. This coding process allow for easier comparison of newly acquired data to store data.

´Face Recognition: Matching of the face against one or more known faces in a database.

Final Deliverable of the Project HW/SW integrated systemCore Industry ITOther Industries Education Core Technology Artificial Intelligence(AI)Other Technologies Internet of Things (IoT)Sustainable Development Goals Quality EducationRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	55400
Sever	Equipment	1	10000	10000
Camera	Equipment	1	5000	5000
Arduino Mega	Equipment	1	2500	2500
Raspberry pi 4 model B 8 GB	Equipment	1	20000	20000
Camera Grill	Equipment	1	3000	3000
Cat_6 Cable	Equipment	1	5000	5000
Connector and Other Expense	Miscellaneous	33	300	9900