INTELLIGENT SURVEILLANCE SUPPORT SYSTEM USING MACHINE LEARNING

Authors

  • Kujala Rupesh Kumar B.tech Student, Department Of Electronics and Computer Engineering, J.B Institute of Engineering and Technology Author
  • Mr. Asif 1B.tech Student, Department Of Electronics and Computer Engineering, J. B.tech Student, Department Of Electronics and Computer Engineering, J.B Institute of Engineering and Technology Author

Abstract

In past few decades we have seen an increase in the usage of surveillance systems such as CCTVs
and portable monitoring devices. These are static but not intelligent. With the advent of Artificial Intelligence,
frameworks like Computer Vision have increased the scope of including additional functionalities. This
Intelligent Surveillance Support System adds to the conventional monitoring system with advanced real time
features such as face recognition, alarm on theft/cheating detection, visitors in/out detection and motion
detection. Emphasis is on doing the tasks mentioned above in real time. This is achieved by using optimized
algorithms available in OpenCV Library which improves the usage of machine perception

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Published

2024-01-29

Issue

Vol. 9 No. 1 (2024): January

Section

Articles

How to Cite

INTELLIGENT SURVEILLANCE SUPPORT SYSTEM USING MACHINE LEARNING. (2024). International Journal of Multidisciplinary Engineering In Current Research, 9(1), 179-191. https://ijmec.com/index.php/multidisciplinary/article/view/411