Virtual Trailroom using Machine Learning

Author(s)	Marrapu Anusha, Bevara Ramu, Kalidindi Swathi, Golajapu Venu Madhava Rao, Manda Sravanthi, Andavarapu Mounika
Country	India
Abstract	The virtual trail room system receives a real-time video feed from a camera and processes data with the OpenCV computer vision library and Haarcascade classifier. In order to correctly identify faces in the video feed, the Haarcascade classifier is trained on a sizable dataset of human faces.The virtual room system may function independently, which eliminates the need for additional employees and associated expenditures, in contrast to typical security systems that demand the presence of physical security officers.
Keywords	Virtual trail room system, Computer vision, Haarcascade classifier, Dlib, Real-time tracking.
Field	Computer
Published In	Volume 6, Issue 3, May-June 2024
Published On	2024-05-11
Cite This	Virtual Trailroom using Machine Learning - Marrapu Anusha, Bevara Ramu, Kalidindi Swathi, Golajapu Venu Madhava Rao, Manda Sravanthi, Andavarapu Mounika - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.19971
DOI	https://doi.org/10.36948/ijfmr.2024.v06i03.19971
Short DOI	https://doi.org/gttvdg

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