Incorrect facemask-wearing detection using image processing and deep learning

Now and in the future, a face mask is very important strategy to protect people when new contagious life threatens disease spread through air appears. Currently, there serious health emergency because of coronavirus 2019 (COVID-19) epidemic. The negative consequences this pandemic need be protected public areas. Numerous methods are advised by World Health Organization (WHO) reduce infection rates prevent depleting available medical resources absence efficient antivirals. Wearing masks non-pharmaceutical lessen susceptibility COVID-19 infection. This research aims create identification system that uses deep learning, which has proven beneficial many real-world applications. also used transfer learning method with MobileNetV2 model classify who wear properly, improperly, without masks. results demonstrate proposed an accuracy 99.4% higher than current systems.