• DR.I.Ambika
• T.Subitha
• S.Jeya chitra

The paper presents a methodology for social distancing detection using deep learning to evaluate the distance between people to mitigate the impact of this corona virus pandemic. the detection tool was developed to alert people to maintain a safe distance with each other by evaluating a video feed.the video frame from the camera was used as input,and the open-source object detection pre-trained model based on the YOLOV3 algorithm was employed for pedistrain detection. Later the video frame was transformed into top-down view noncompliant pair of people in the display will be indicated with a red frame and red line. the proposed method was validated on a pre-recorded video of pedestrians walking on the street. the result shows that the proposed method is able to determine the social distancing measures between multiple people in the video the developed technique can be further developed as a detection tool in real-time application.

"physical distance information alert system for pandamic", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.h267-h273, May-2022, Available :http://www.jetir.org/papers/JETIR2205836.pdf

"physical distance information alert system for pandamic", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. pph267-h273, May-2022, Available at : http://www.jetir.org/papers/JETIR2205836.pdf