Face Mask Detection with Temperature Check

The coronavirus (COVID-19) pandemic is causing a worldwide health catastrophe, so according to the World Health Organization (WHO), wearing masks in public is an effective safety method. The COVID-19 pandemic has forced governments around the world to impose quarantines to prevent transmission of the virus. According to reports, wearing masks in public does reduce the threat of transmission of the virus. An efficient and cost-effective way to use Artificial Intelligence (AI) to create a secure environment in a manufacturing environment. A hybrid model for using a deep and classic face mask detection device will be proposed. The face mask detection dataset includes the mask, and without mask photos, it uses the Open-Source Computer Vision Library (OpenCV) to detect faces in real-time from the stay circulation through the webcam. It uses the dataset to build a computer vision COVID-19 face mask detector using Python, OpenCV, TensorFlow, and Keras. Using computer vision and deep learning, the goal is to understand whether a character in a picture or video stream is wearing a mask or not using computer vision and deep learning.

A Survey on Face and Hidden Face Mask Detection

Coronavirus disease (COVID) is an unprecedented crisis, causing a huge amount of unhappiness and security problems. Wearing a face mask in public places can effectively reduce the transmission of coronavirus, so people should wear facial covers or masks to protect themselves from this pandemic. Therefore, this makes a facial confirmation an inconvenient task since obvious parts of the face are hidden. An important focus of analysts during the advancing COVID pandemic is to come up with ideas to address this problem with quick and productive measures. This paper proposes a reliable method based on hidden area removal and deep learning-based highlights to solve the problem of hidden face recognition measures. To deal with these challenges, it separates two unique usages in particular, such as closed-eye face detection and hidden face detection. It basically determines if a person has a mask on their face or not. It can be effectively applied transparently where a mask is needed. In contrast, the covered face affirmation means recognizing the presence of a mask on the face based on the eye area and shelter areas, as well as checking the temperature to ensure safety measures. This paper provides a survey of different research accomplished with the methodology on face mask detection with temperature check.