Mask and Temperature Detection and Automatic Sanitizer Dispenser Using Raspberry Pi

Abstract

Due to Covid-19, there are currently no effective face mask detection applications, which are in high demand for transportation, densely populated areas, large-scale manufacturers, residential districts, and other organizations to assure safety. Also, the absence of large datasets of images with mask has made task more cumbersome and challenging. This project proposes a method for identifying people without wearing using face recognition technique by using python programming and from Open CV library, Keras and tensor flow. Standalone embedded device has been developed by using Raspberry Pi electronic development board and can be operated on Battery power supply, wireless internet connectivity by using USB modem. Automatic e-mail notification has been achieved by sending security alert mail to the user e-mail id when the person without mask tries to enter the premises. This proposed system is more effective, reliable, and this system consumes very less data and power compared to the other existing systems.