This document describes a face recognition and attendance marking system using machine learning. The proposed system aims to digitize traditional pen-and-paper based attendance records and solve issues with manual systems. It will use face recognition to mark attendance only when a student is within a 2km range of the college, addressing flaws in existing biometric scanners and fingerprint-based systems. The system architecture includes modules for student and staff registration and login, face recognition, location checking, and attendance marking.

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SUBJECT CODE
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Project Review
FINAL REVIEW
Project Title:
FACE RECOGNITION AND ATTENDANCE
MARKING USING ML

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ABSTRACT
Attendance is considered as the action or state of going regularly to or being present at a place or
event. Attendance system is being used in every organization around the globe.
The manual attendance record system is inefficient and more time consuming . Hence a system is
needed which will solve the flaws which often occurs in manual attendance.

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ABSTRACT
Face recognition is among the most productive image processing applications and has a pivotal
role in the technical field. The development of this system is aimed to accomplish digitization of
the traditional system of taking attendance and maintaining pen-paper records. Present strategies
for taking attendance are tedious and time-consuming, attendance records cannot be easily
manipulated by manual recording.
After face recognition attendance reports will be generated only if the student is around 2km range
in college. The system is tested under various conditions like illumination, head movements, the
variation of distance between the cameras and matching the Longitude & Latitude.

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SDG GOALS
INDUSTRY , INNOVATION AND
INFRASTRUCTURE (9)
Its aims to build resilient infrastructure, promote
sustainable industrialization and encourage the
development of innovation.

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LITERATURE SURVEY

6. INFERENCE FROM LITERATURE SURVEY
In most of the articles that we have seen and studied, recognize face marks with a defined
pattern, Using Local Binary patterns and Local Directional patterns.
These systems are based on detection, recognition, and matching algorithms that
automatically detect the face when the student enters the classroom.
This increases the cost of the system and involves good maintenance
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EXISTING SYSTEM
 Existing system is a manually maintained software system and as well as the
application used to take attendance, but it doesn’t have the features of the location.
 Huge time consumption (In case of a large organization)
 Biometric scanners are used in many organizations to scan the fingerprint of
users.
 The accuracy is not good enough to load so much data
 Advanced devices that are fixed on the entrance wall so that it will identify each
person crossing through it.

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PROPOSED SOLUTION
• Present strategies for taking attendance are tedious and time-consuming, attendance records
cannot be easily manipulated by manual recording
• After face recognition attendance will be marked. The system is tested under various
conditions like illumination, head movements, the variation of distance between the
cameras and matching the Longitude & Latitude.
• Mark attendance only if you are in the specified Longitude & Latitude with 2 km range ,
with high accuracy.
• Time efficient in case of large organization with huge people.

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REQUIREMENTS
HARDWARE:
• CORE i3, 4GB RAM
SOFTWARE:
• JAVA
• ANDROID STUDIO
• MONGO DB
• WINDOWS / LINUX

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ARCHITECTURE DAIGRAM

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12. MODULES
List of modules
1.Students : Registration
Login
Face Recognition
Location checking
Attendance marking
Activity monitor
2.Staff : Login
Face Recognisation
Location checking
Attendance marking
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13. MODULES
3.Admin : Update or send any specific information to
student and staffs profiles:
Warning message about the attendance
percentage or any location violation
Detailed view of student activity:
pie chart of how many hours students are in the organization or given
location are provided to the admin
Can view and download data :
The spreadsheet of students and staffs presence per day are provided to the admin
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14. MODULES DESCRIPTION
ADMINISTRATORMODULE:
Student Details: In this module deals with the allocation of roll no and personal details for a new batch.
It will generate personal details of students and academic details of the students with the photos.
StaffDetails:
It helps to allow the subject and the subject code to the particular staff.
It provides the facility to have a user name and password for the staff.
Timetabledetails
It will retrieve the subject information from the subject database and assign time table to the staff. It will help the
admin, and staff to make the entry of attendance based on the subject and period allotted to the respective staff.
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15. MODULES DESCRIPTION
Attendance details: It will be made to the attendance database for all students. Entered attendance to be stored in
the database subject, period-wise into the particular date.
It will help s to get reports weekly and consolidate the attendance.
Report details: Report can be taken daily, weekly, and consolidated weekly reports get all hour details of
attendance starting date to ending date and display the status
Consolidate report to get all student attendance details starting date to ending date status help for the eligibility
criteria of the student to attend the examination.
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16. IMPLEMENTATION
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17. IMPLEMENTATION
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GNATT CHART

22. SCOPE FOR FUTURE DEVELOPMENT
The project has a very vast scope in the future. The project can be implemented on the
intranet in the future. The project can be updated shortly as and when the requirement
for the same arises, as it is very flexible in terms of expansion. With the proposed
software of database Space Manager ready and fully functional, the client is now able
to manage and hence run the entire work in a much better, more accurate, and error-free
manner. The followingare the future scope for the project.
 Discontinue particular students and eliminate potential attendance.
 Individual Attendance system With photo using Student login.
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CONCLUSION
• Attendance using face recognition is designed to solve the issues of existing manual
systems. We have used the face recognition concept to mark the attendance of staff and
make the system better.
• The system performs satisfactorily in different poses and variations& specified Longitude
and Latitude on the campus.
• In the future this system will be improved, also we have some processing limitations,
working with a system of high processing may result in the even better performance of this
system.

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REFERENCES
[1] Mehta, Preeti, and Pankaj Tomar. "An Efficient Attendance Management System based on Face
Recognition using Matlab and Raspberry Pi 2." International Journal of Engineering Technology Science
and Research IJETSR 3.5 (2016): 71-783.
[2] Karnali, Oscar, et al. "Face-face at classroom environment: Dataset and exploration." 2018 Eighth
International Conference on Image Processing Theory, Tools and Applications (IPTA). IEEE, 2018.
[3] Ashwini, C., et al. "An Efficient Attendance System Using Local Binary Pattern and Local
Directional Pattern." Journal of Network Communications and Emerging Technologies (JNCET) www.
jncet. org 8.4 (2018).
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