This document summarizes a research paper on an airport management system using face recognition. It discusses: 1) Developing a face recognition-based attendance tracking system to improve efficiency over previous systems. 2) Creating face databases to train the recognition algorithm to identify passengers during check-in. 3) The system automatically records attendance by identifying faces, displaying passenger IDs and names, and saving records.

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International Research Journal of Modernization in Engineering Technology and Science
( Peer-Reviewed, Open Access, Fully Refereed International Journal )
Volume:03/Issue:09/September-2021 Impact Factor- 6.752 www.irjmets.com
www.irjmets.com @International Research Journal of Modernization in Engineering, Technology and Science
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AIRPORT MANAGEMENT USING FACE RECOGNITION BASESYSTEM
Akshay Anarse*1, Hashim Shaikh*2, Dr. J.E. Nalawade*3
*1,2Department Of Information Technology Pillai HOC College Of Engineering And
Technology, Rasayani, India.
*3Professor, Dept. Of Information Technology Engineering, Pillai HOC College Of
Engineering And Technology, Rasayani, India.
ABSTRACT
The main purpose of this project is to create a face recognition-based group action observance system for
establishment to boost and upgrade the present group action system into additional economical and
effective as compared to before. the present recent system encompasses a heap of equivocation that
caused imprecise and inefficient of group action taking several issues arise once the authority is unable
to enforce the regulation that exist within the recent system. The technology operating behind are the
face recognition system. The external body part is one of the natural traits which will unambiguously
determine a personal. Therefore, it's accustomed track down specification because the possibilities for a
face to diverge is low. Face data collections are created to pump information into the recognizer formula.
Then, throughout the group action taking session, faces are compared against the information to hunt for
identity. Once a personal is known, its group action is taken down automatically saving necessary data
into a stand out sheet.
I. INTRODUCTION
This is a project regarding Facial Recognition-Based System for airport staff-based establishments. In this
chapter, the matter and motivation, analysis objectives, project scope, project contributions and also the
background info ofthe project are going to be mentioned intimately. When we run train window will open
and it'll ask to Enter Ticket No. and Enter Name. After coming into call and id, you need to click on Take Images
button. On clicking on Take Images, another window will open to take images. This Ticket no and Name will be
stored with inside the folder named staff and document name may be staff.csv. It takes fifty pictures as
pattern and keep them in folder save bookings. After final touch it provide notice that snap shots stored
once taking photo pattern, we have got to clickon save booking button. Now it takes few seconds to coach
device for the photographs that rectangular measure taken with the aid of using clicking Take Image button
and creates a Trainner.yml record and keep in save bookings Label folder. Currently all preliminary setups
rectangular measure done.
If face is acknowledged with the aid of using device, then Id and Name of man or woman is proven on Image.
Press Q (or q) forgive up this window. After quitting it institution action of man or woman are going to be keep
attending folder as csv record with name, id, date and time and it's additionally out there in window.
II. RELATED WORK
The external body part is one of the natural traits which will unambiguously determine a personal.
Therefore, it'saccustomed track down specification because the possibilities for a face to diverge is low.
During this project,face databases are created to pump information into the recognizer formula.
III. PROPOSED WORK
The design a part of the saving the passengers details in the system is split into 2 sections that comprises
the hardware and also the computer code half. Before the computer code the planning half may be
developed, the hardware half is 1st completed to produce a platform for the computer code to figure. Before
the computer code half we'd like to put in some libraries for effective operating of the appliance. We tend
to install OpenCV and Python.

2. e-ISSN: 2582-5208
International Research Journal of Modernization in Engineering Technology and Science
( Peer-Reviewed, Open Access, Fully Refereed International Journal )
Volume:03/Issue:09/September-2021 Impact Factor- 6.752 www.irjmets.com
www.irjmets.com @International Research Journal of Modernization in Engineering, Technology and Science
[828]
Fig 1: Flow Chart of Implemented System
There square measure 2 major system flows within the computer code development section as shown
below: The creation of the face information the method of attending taking both processes mentioned
higher than square measure essential as a result of they created up the backbone of the attending
management system. During this section, the method of each flows are going to be concisely delineated.
Meanwhile, their full functionality, specific needs and conjointly the methods/approach to accomplish such
objectives are going to be discussed withinthe forthcoming chapter.
IV. RESULTS
In this project, the face info is with success designed. Except for that, the face recognizing system is
additionallyoperating well. At the end, the system not solely resolve troubles that exist within the recent
model however additionally offer convenience to the user to access the data collected by mailing the group
action sheet to the revered college.

3. e-ISSN: 2582-5208
International Research Journal of Modernization in Engineering Technology and Science
( Peer-Reviewed, Open Access, Fully Refereed International Journal )
Volume:03/Issue:09/September-2021 Impact Factor- 6.752 www.irjmets.com
www.irjmets.com @International Research Journal of Modernization in Engineering, Technology and Science
[829]
Fig 2: Capturing Image and verification
Fig 3: After Capturing Image verification is Successful
Fig 4: Entering Password For Successful verification
Fig 5: Password Changing Setting

4. e-ISSN: 2582-5208
International Research Journal of Modernization in Engineering Technology and Science
( Peer-Reviewed, Open Access, Fully Refereed International Journal )
Volume:03/Issue:09/September-2021 Impact Factor- 6.752 www.irjmets.com
www.irjmets.com @International Research Journal of Modernization in Engineering, Technology and Science
[830]
Fig 6: Entering Customer Data
V. CONCLUSION
Before the event of this project. There are several loopholes within the method of taking group action
using the recent methodology that caused several troubles to most of the establishments. Therefore, the
identity verification feature embedded within the group action watching system cannot solely guarantee
group action to be taken accurately and additionally eliminated the failings within the previous system. By
exploitation technology to beat the defects cannot simply save resources however additionally reduces
human arbitration within the entire routine by handling all the difficult task to the machine. The sole
price to the current answer is to own ample area in to store all the faces into the info storage, fortuitously,
there's such existence of small American state that may compensate with the quantity of the info.
ACKNOWLEDGEMENT
We remain very committed to our guide Dr. J.E. Nalawade for providing us with technical support and
guidance. We would also like to thank our guide for providing us with his professional opinion and good
suggestions for all stages of the project. We would like to take this opportunity to thank Professor Dr. J.E.
Nalawade, Head of Information Technology for his motivation and invaluable support. This acknowledgment
is incomplete without thanking academic and non-academic staff for their department for their kind support.
We would also like to thank Dr. T. J. Mathew, Principal, Pillai HOC College of Engineering and Technology,
Rasayani for providing the necessary infrastructure and resources for the project.
VI. REFERENCES
[1] “Attendance Monitoring System using Facial Recognition with Audio Output and Gender Classification”.
Poornima, Sripriya, Vijayalakshmi, Vishnupriya. IEEE International Conference on Computer,
Communication, and Signal Processing, 2017 [2]
[2] Face recognition as an airport and seaport security tool.
[3] Jyri rajamäki, Tuomas turunen, Aki harju, miia heikkilä, Maarit hilakivi & Sami rusanen Laurea
LeppävaaraLaurea University of AppliedSciences Vanha maantie 9, FI 02650 Espoo, FINLAND.