Smart Security Surveillance System |
Author(s): |
| Tanishq Aher , Sandip University Nashik; Sharan Patel, Sandip University Nashik; Nayan Ghodke, Sandip University Nashik; Dinesh Kodwani, Sandip University Nashik |
Keywords: |
| Face Mask Detection, Motion Detection, Object Recognition, OpenCV, Image Processing |
Abstract |
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In sensitive area where generally no one is allowed So first we will detect the motion after The motion detection it automatically revoke the functions for face detection. Around the world, putting on a mask, washing our hands often, and avoiding social contact have all become priorities. The World Health Organization (WHO) strongly advises against spreading the new coronavirus by using a mask that covers the mouth and nose. The primary objective of a computer vision system is to find moving objects. The performance of these systems is insufficient for many applications. One of the main causes is that moving object detection is more difficult when dealing with various constraints, including environmental changes. After object recognition, object counting is a process that is improved upon and made more reliable with the aid of OpenCV. OpenCV comes with a variety of helpful methods for item recognition and counting. Numerous industries, including transportation, health care, and environmental science, use object counting. |
Other Details |
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Paper ID: IJSRDV11I40030 Published in: Volume : 11, Issue : 4 Publication Date: 01/07/2023 Page(s): 35-39 |
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