USING THE OPENCV LIBRARY TO ENSURE THE COMPANY'S INFORMATION SECURITY

Authors

  • Ravilov M.M Cybersecurity Center" State Unitary Enterprise, Head of Development Department, Uzbekistan
  • Allamurodov N.T Master's degree, Faculty of Cyber-Security,Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Uzbekistan

Keywords:

Computer Vision, machine learning, smartphone

Abstract

As computer vision has become a part of our  daily  life.  Using  smartphones  features  like  face recognition is all a part  of computer vision. In this paper,  we  will  talk  about CV  or  Computer  Vision which is preferably used to read and display a video stream in real time  through which  one can access the web camera and using machine learning one can let their  system learn through data sent by user or through  datasets  which  is  easily  available  on the internet and then system trains itself. After training part it is ready to  solve the real  life problems. But using both computer vision and machine learning at the same time is always a challenging task asone has to capture and another has to train the system at the same  timeso  that  the  system  could  be  able  to recognize the things to which they are trained is the most  innovative  work in  this paper  as  we have  to keep in mind that both the things should be done at the same time.

References

https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_objdetect

https://realpython.com/face-detection-in-python-using-a-webcam/

https://www.expertsystem.com/machine-learning-definition/

https://towardsdatascience.com/machine-learning/home

https://www.edureka.co/masters-program/machine- learning-engineer-training

https://www.pytorials.com/face-recognition-using-opencv-part-3/

https://www.superdatascience.com/blogs/opencv-face-recognition

Computer Vision :A Modern Approach by Forsyth and Ponce

Introduction to Machine Learning using Python by Andreas C. Muller and Sarah Guido.

S. Maity, J. Sil, ―Color Image Segmentation u sing type-2 fuzzy sets‖ – International Journal of Computer and Electrical Engineering, Vol. 1, No. 3, August 2009 1793-8163 (2020) pp 376 – 383.

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Published

2022-12-25

Issue

Section

Articles