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- W4214875010 abstract "The outbreak of COVID-19 pandemic has resulted in a devastating impact all around the world. The social distancing protocol has become the compulsory preventive measures in many countries for the purpose of avoiding physical contacts with other persons. This paper presents a drone based surveillance approach that uses Computer Vision and Deep Learning based techniques to check if two persons are violating social distancing norms. The implementation has been done using a Raspberry Pi based Drone where the camera captures the video from a height and detects the persons who are in near proximity with the help of an object detection algorithm and computes the distance between two persons in order to check whether they lie near to each other. The Euclidean distance between the two persons is calculated which is then compared with the given margin distance. If the distance is found to be below the margin., local authorities or law enforcement agencies can be notified through an automatically generated email alert." @default.
- W4214875010 created "2022-03-05" @default.
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- W4214875010 date "2021-12-01" @default.
- W4214875010 modified "2023-09-27" @default.
- W4214875010 title "Social Distancing Violation Detection Using Pre-Trained Object Detection Models" @default.
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- W4214875010 doi "https://doi.org/10.1109/ocit53463.2021.00070" @default.
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