Nowadays, the world suffers from a terrible problem with COVID-19. Some researchers worked for a facemask detection biometric system by using Residual Networks such as Resnet50 or Resnet100. This research focuses on depreciating the transmission of Corona Virus Disease (COVID) from person to person. To wear a facemask plays an excellent role in not spreading COVID to the community. Moreover, to enhance social life, automatic facemask detection and facemask recognition systems are needed. Additionally, this system is helpful for security enhancement through face recognition. Here, the research for developing and implementing a biometric system for banks, offices, universities, and other public areas. This system helps in detecting the facemask for wearing by the human With Artificial Intelligence (AI), Deep Learning (DL), and Digital Image Processing technologies, this system allows the person to enter inside or stay outside because of not wearing a facemask. Besides designing and implementing a new model, the authors will discuss pre-defined the VGG16 deep learning model of CNN (Convolution Neural Network). Further, conclude the performance of both CNN models. This paper proposes a Facemask Detection model for solving the problem of manual care. This proposed model is a combination of most trending technologies such as AI, DL, and Image processing. In the future, describe this newly implemented model by appending Gaussian noise with images and make the system more reliable for actual use.
- Ashish Sharma, Ara Miran , Zanyar Rzgar Ahmed
- ICT Analysis and Applications