Face Mask Recognition Application Analysis Case Study IT Assignment Help

Assignment Task

Task
Facemask has become an important part of everyone’s life from the pandemic outburst of corona virus since March’ 2020. The whole world is struggling with this situation and managing to overcome the situation. For more than a year it was mandate to put on mask and travel anywhere in the country being grocery store to international travel. In all the sectors it was very important for us to protect ourselves from the pandemic situation. The British Government later with so many precautions and set protocols removed the legal requirement of face covering in few places but continued to put on them in indoors and on public transport in England. Even when the vaccination drive is in full drive life is gradually coming back to normal according to the office for national statistics Most adults (85%) felt that wearing a face covering was either very important or important as a measure to slow the spread of coronavirus (COVID-19); at the same time 86% of adults reported they wore a face covering when outside their home in the past seven days compared with 88% in the previous period (8 to 19 September 2021), continuing a trend of gradual decline since the start of July 2021. According to BBC Britain’s winter plan B is to mandate the face covering in some settings. Hence, it is important to implement automated applications to find out whether or not anyone is wearing a mask so measures can be taken accordingly. Masks limit the volume and travel distance of expiratory beads scattered when talking, breathing, and hacking. A mask without vents or openings will likewise sift through particles containing the infection from breathed in and breathed out air, decreasing the odds of contamination Artificial intelligence and Machine learning algorithms allowed the development of highly precise systems and became a standard option for the analysis of different complex applications, in different areas. The machine learning methods have been extremely effective over the last decade and have been widely used to build artificial intelligence in nearly every domain. Neural networks have recently been successfully applied to face masks detection. These mechanisms can be applied in various areas like airports, railway stations, malls and all other crowded places as a preventive measure which has a considerable importance in the current scenario.

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