Deep Learning-Based Mask Identification System Using ResNet Transfer Learning Architecture

Recently,the coronavirus disease 2019 has shown excellent attention in the global community regarding health and the economy.World Health Organization(WHO)and many others advised controlling Corona Virus Disease in 2019.The limited treatment resources,medical resources,and unawareness of immunity is an essential horizon to unfold.Among all resources,wearing a mask is the primary non-pharmaceutical intervention to stop the spreading of the virus caused by Severe Acute Respiratory Syndrome Coronavirus 2(SARS-CoV-2)droplets.All countries made masks mandatory to prevent infection.For such enforcement,automatic and effective face detection systems are crucial.This study presents a face mask identification approach for static photos and real-time movies that distinguishes between images with and without masks.To contribute to society,we worked on mask detection of an individual to adhere to the rule and provide awareness to the public or organization.The paper aims to get detection accuracy using transfer learning from Residual Neural Network 50(ResNet-50)architecture and works on detection localization.The experiment is tested with other popular pre-trained models such as Deep Convolutional Neural Networks(AlexNet),Residual Neural Networks(ResNet),and Visual Geometry Group Networks(VGG-Net)advanced architecture.The proposed system generates an accuracy of 98.4%when modeled using Residual Neural Network 50(ResNet-50).Also,the precision and recall values are proved as better when compared to the existing models.This outstanding work also can be used in video surveillance applications.

SYNTHESIS,PIEZOELECTRIC,DIELECTRIC AND CONDUCTIVITY STUDIES ON Dy_(2)O_(3)SUBSTITUTED(Bi_(0.94)Na_(0.94))_(0.5)Ba_(0.06)TiO_(3)CERAMICS

Polycrystalline(Bi_(0.94)Na_(0.94))_(0.5)Ba_(0.06)TiO_(3)ceramics(r=0,0.04,and 0.08,designated as BNBT6:BNBT6:4Dy and BNBT6.8Dy,respectively)were prepared by conventional high tem-perat ure sintering method.The X-ray difraction patterms show pure perovskite structure with no secondary phases.Lattice parameters and unit cell volumes have decreased due to Dy_(2)O_(3)substi-tution.SEM micrographs revealed denser samples(prel>97%)with wmiformly distributed grainsizes.The room temperature piezoelectric properties of Dy_(2)O_(3)substit ut ed sample at a=0.04 wererelatively higher.d_(33)=147 pC/N,k_(p)=28%and Q_(m)=-128.The samples exhibited infinitesimalchange in thickness(α15 nm)to an applied voltage of 100 V,which could be utilized in actuatorapplications.Relaxor behavior and broad dielectric maxima with diffuse phase transition wereobser ved.The value of RT dielectric constant has increased while dielectric loss was decreased dueto Dy_(2)O_(3),substitution.Conductivity in the materials obeys Jonscher's universal power law.The conductivity in the low frequency region is associated with short range translational hopping whileit is associated with the reorientational hopping in the high frequency region.The charge carrier concentration term remained constant over the entire temperature range of(30-500°C).