Face Mask Detection Using SSD-Mobilenet-V2
T Ragunthar., Attri Mukherjee, Shresth Sati · 2023
Mask detection plays a major role in the prevention and control of epidemics after the COVID-19 outbreak as it is the most practical and effective method of prevention. For the appropriate employees, a great automatic real-time face mask identification system based on deep learning can significantly lessen work-related stress. The systems for mask identification that are currently in use, however, are largely resource-intensive and do not strike a reasonable balance between speed and accuracy. In our system, the mask detector is SSD, and to extract the image’s features and decrease a number of parameters, MobileNet takes the role of VGG-16. Pre-trained models from other domains are transferred to our model using transfer learning techniques.