AUTHENTICATION SYSTEM BASED ON FACE MASK AND TEMPERATURE DETECTION USING HAAR FEATURES

ELECTRONICS AND COMMUNICATION ENGINEERING

: As we all know after the breakout of the world-wide pandemic the coronavirus disease 2019 (covid-19), there arise a sever need for protection mechanism. The face mask being the primary one. Masks are primarily intended to prevent the wearer from spreading the viral droplets (source control). Covid-19 and other respiratory infections spread primarily through inhalation of respiratory aerosols produced by coughing, sneezing, talking, or breathing. The virus propagates and migrates down the respiratory tract and may lead to pneumonia, acute respiratory distress syndrome (ARDS) and even death. The ongoing pandemic and the rapidly emerging variants have made this respiratory illness, a daily headline. To prevent the spread of infection, it is recommended that people use face masks as part of their personal safety gear and as a public health measure. For employing more security, the body temperature is also considering. When a person is onboarded, the body temperature is detected by the non-contact temperature sensor. If it is in between the range of normal body temperature,then the camera module gets opened and captures the required number of image, then the haar features are considered by the neural networks and processes the data for face mask detection. If the mask is detected, then the access will be permitted, otherwise restricted.

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