Tezislər / Theses

THE 3
rd
 INTERNATIONAL SCIENTIFIC CONFERENCES OF STUDENTS AND YOUNG RESEARCHERS 
dedicated to the 99
th
anniversary of the National Leader of Azerbaijan Heydar Aliyev
168
Numpy: 
That is used for using arrays/matrices. 
OS: 
This library creates communication with the operating system. 
Datetime: 
Datetime library is utilized to get the real date and time, 
as it is needed for attendance list. 
Challenges 
1. 
Lightning condition.
If the lightning is not satisfactory enough to 
detect the faces, specially sitting at the back desks, the accuracy 
and efficiency will decrease. 
2. Angle of view. 
If the face is more than 60 degrees to the cam, then 
the system will not detect it. 180 degree horizontally rotating 
cameras can be a possible solution.
 
3. Obstacles. 
The camera must be placed in such a location that can 
detect all people, without creating an obstacle for each other.
 
Conclusion 
To sum up, the thesis addressed attendance-checking using face 
recognition. It is a modernized method that can be applied instead of 
the systems used today and eliminate the cons of these systems. 
References 
[1] 
https://www.tutorialspoint.com/face-detection-and-recognition-systems 
[2] 
https://towardsdatascience.com/building-a-face-recognizer-in-python-7fd6630c6340 
[3] 
https://www.tutorialspoint.com/opencv/opencv_face_detection_in_picture.htm 
[4] 
http://dlib.net/ 
[5] 
https://face-recognition.readthedocs.io/en/latest/readme.html 
[6] 
https://docs.python.org/3/library/os.html 
[7] 
https://docs.python.org/3/library/datetime.html
LICENSE PLATE RECOGNITION 
Ruhan Budagli, Rafig Lahijov 
Baku Higher Oil School 
Baku, Azerbaijan 
[e-mail] 
[e-mail]