| Autor: |
Panda, Sunita, K., V. Sai Charan, Akhileswar, Bhanu, A. O., Basha, Subahan |
| Předmět: |
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| Zdroj: |
Grenze International Journal of Engineering & Technology (GIJET); 2022, Vol. 8 Issue 1, p899-903, 5p |
| Abstrakt: |
Now a days face mask and social distancing places a lot of important role because we know that lot of countries are facing the problems due to avoiding of the face mask and social distancing. If we consider from the current situation in world the corona affecting people are 117 million and from the India the corona affecting people are 11.2 million. If we follow this then definitely we can decrease the number of cases in India and also in the world. Now a days also the face mask and the social distancing playing the crucial from the corona virus. Coming to the Methods which involve in the two steps they are: the first one is the pedestrian, in video frames by using Deep Learning and the second one is distance between the two pedestrian is identifying by using image processing techniques. Mainly Convolution neural network is using widely. The accuracy and decision making is very high in convolution neural network compared to the others. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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