About Face Mask Detection:
Face mask detection is the process of determining whether or not someone is wearing a mask. We all know that wearing masks is one of the most effective ways to prevent the virus from spreading. Despite this, we notice a lot of people not wearing masks in public locations. Using AI approaches to construct a system that can recognize persons who aren’t wearing masks could be a solution to this problem.
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Our face mask detector doesn't use any morphed masked images dataset and the model is accurate. Owing to the use of MobileNetV2 architecture, it is computationally efficient, thus making it easier to deploy the model to embedded systems (Raspberry Pi, Google Coral, etc.).
This system can therefore be used in real-time applications which require face-mask detection for safety purposes due to the outbreak of Covid-19. This project can be integrated with embedded systems for application in airports, railway stations, offices, schools, and public places to ensure that public safety guidelines are followed.
The Face Mask Detection System can be used at airports to detect travelers without masks. Face data of travelers can be captured in the system at the entrance. If a traveler is found to be without a face mask, their picture is sent to the airport authorities so that they could take quick action. If the person’s face is already stored, like the face of an Airport worker, it can send the alert to the worker’s phone directly.
The Face Mask Detection System can be used at office premises to detect if employees are maintaining safety standards at work. It monitors employees without masks and sends them a reminder to wear a mask. The reports can be downloaded or sent an email at the end of the day to capture people who are not complying with the regulations or the requirements.
Features of Face
Mask Detection System
Automatically Send Alert
Send alert to the faces which are recognized, also set the rate of sending the alerts and detection of faces.
No new hardware to install
The system can work on any existing RTSP camera without the installation of any new cameras. Most of the hospitals and airports have IP cameras installed and RTSP-enabled.
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Multi-Channel Recognition
Attach multiple cameras in a few minutes and enable all the cameras to access the AI capability of recognizing faces.
Using Face Mask Detection System, Hospitals can monitor if their staff is wearing masks during their shift or not. If any health worker is found without a mask, they will receive a notification with a reminder to wear a mask. Also, if quarantine people who are required to wear a mask, the system can keep an eye and detect if the mask is present or not and send notification automatically or report to the authorities.