Review on Face Mask Detection and Contactless Temperature Scanning Using Raspberry Pi with Sanitization
Rudrani Bhausaheb Mate1
1Department of Electronics & Telecommunication Engineering, DIEMS, BATU University, Lonere (M. S) India
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Abstract – In India the first step to detect COVID virus is by scanning for fever in early time. Also we need to monitor every people for a mask and temperature check. Also we have temperature measuring systems for every entrance for scanning and measuring but manual temperature scanning has a lot of disadvantages. There is some kind of human error in reading values. So Many times people are aloud from entry even after higher temperature readings and also no masks at the public spot. The temperature reading is avoided by the checking person if supervisors are not watching at that time. So manually scanning system is not suitable for large crowds. To solve and avoid t this problem we here propose a fully automated temperature, mask scanner and entry provider system are introduce. This is a multipurpose system that has a wide range of applications. The system makes use of a contactless temperature measuring and a face mask monitor with the barrier system. The scanner is connected directly with a human barrier to bar entry if high temperature or no mask is detected at the public spots.
The effect of COVID-19 has been fallen on practically all areas of advancement. The medical services are going through an emergency. Various types of automation systems are develop to avoid sickness where wearing a mask is one of them. In this system we have used ML, Open CV and Tensor Flow to recognize face masks. This Model can be utilized for security purposes since it is very resource efficient to deploy process.
Key Words: COVID-19, Face mask detection, Machine learning, Raspberry Pi, Sensors, Temperature detection, Tensor Flow, open CV, python, camera and LCD
