Real Time Social Distance Detection : A Covid 19 Contamination Prevention Measure

Author

Ramesh Byali , Jyothi , Megha Chidambar Shekadar

Abstract

Deep learning models have been used to support a method for determining social distance. A red frame and line will appear between two people to indicate that they have violated the policy if they are within a certain distance of one another and the computer vision system is unable to tell them apart. With the use of a film depicting people strolling down a street, the applicability of the suggested technique was examined. The results visualization revealed that the technique suggested is an alternative that can be used in a variety of settings, including commercial organizations and educational institutions, among others.The results of this study can be improved in a number of ways, including adjustments to the algorithm used for pedestrian recognition, the addition of extra detection techniques like the detection of build temperature, the improvement of the processing power of the hardware, and calibration of the camera's field of view. These are merely a few ideas on how to complete the assignment more successfully

Keywords

Convolutional neural network, Deep Learning, Euclidean distance, Bounding box, Centroid, Threshold, Social Distancing, pedestrian identification.

DOI : https://doi.org/10.55248/gengpi.2022.3.8.9

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References

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