Abstract
Corona Virus is a pandemic, and the whole world is affected due to it. Apart from the vaccine, the only cure for this drastic disease is to follow the rules and regulations that avoid further spread. There are different mechanisms like (Social Distancing, Mask Detection, Human occupancy etc.) through which we can able to stop the spread of the coronavirus. In this paper, we proposed hotspot zone detection using the computer vision techniques of deep learning. We have defined the hotspot area as the particular region on which the person touches more than some specified threshold. We further mark that area to some specific color to help the authority take necessary action and disinfect that particular place. To implement this algorithm, we have utilized the human-object interaction concept. We have extracted the dataset of person classes from the publicly available dataset for the person detection and the self-generated dataset to train the algorithm. Different experiments on object detection algorithms (YOLO-v3, Faster RCNN, SSD) for person detection have been performed in this work. We achieved the maximum accuracy in real-time on the YOLO-v3 for person detection. Whereas we have marked the specific area using the template matching algorithm of computer vision techniques. Our proposed algorithm detects the persons and extracts the region of interest points on which the user draws the rectangle. Then we find the intersection over union ratio between the detected person and the region of interest of the marked area to make the decision. We have achieved 88.72% accuracy on person detection in the local environment. Whereas, for the whole system of human-object interaction for detecting the hotspot area zone, we have achieved 86.7% accuracy using the confusion matrix.
Highlights
The analysis suggests that the coronavirus is probably originated from the bats and transmitted to the other animals before going into the humans from the Wuhan (China) wet market in December 2019
We focused on Hotspot zone detection
DATASET ACQUISITION AND PRE-PROCESSING Deep learning-based object detection model requires a huge amount of data, if the training is required from scratch
Summary
The analysis suggests that the coronavirus is probably originated from the bats and transmitted to the other animals before going into the humans from the Wuhan (China) wet market in December 2019. Soon after that, it is spread like. Most countries imposed a lockdown to stop the spread of this deadly disease. This is not a practical solution as the whole economy of the particular country goes down. It creates a catastrophic situation for underdeveloped countries in terms of economy
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