International Journal for Research in Applied Science & Engineering Technology (IJRASET)

ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 7.538

Volume 11 Issue I Jan 2023- Available at www.ijraset.com

V. CONCLUSION

This model proposes an effective object recognition and tracking model based on real-time deep learning methods, where people are detected in real-time with the use of bounding boxes, to automate the process of monitoring the social distance. In order to find groups of persons that fulfil the closeness property calculated using a pairwise vectorised technique, bounding boxes are constructed. The number of violations is calculated by counting the number of groups that were present, and the violation index term is calculated as the proportion of individuals to groups. Modern object detection methods Faster RCNN, SSD, and YOLO v3 were used in the lengthy trials, and YOLO v3 demonstrated effective performance with good FPS and mAP score. This method may be fine-tuned to better adapt to the matching field of vision since it is extremely sensitive to the dimensional placement of the camera.

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