Automatic Entrance Monitoring System with COVID Safety Precautions

Since 2019, COVID-19 has had substantial social impact. In offices, stores, and other public spaces, new restrictions on the gathering of participants allowed in a specific room. Social distance must be maintained. New progress in technology and nano technology have enabled the creation of a new low-cost monitoring system that customers can use to prevent health problems. The rapid advancement of computer vision has drawn increased attentionto the global epidemic COVID- 19, allowing for improved human-computer interaction and public health services. Various countries are experiencing a serious health catastropheas a result of COVID-19’s rapid spread. Wearing medical masks like cloth masks, surgical masks, and N95 respiratory masks in all the places where more people meet is an effective strategy to protect individuals from COVID-19, as stated by the World Health Organization (WHO). Manually monitoring people in public settings and detecting their face coverings is quite tough. As a result, an automatic real-time mask detection system is urgently needed to aid in the prevention of the public epidemic. Mask detection is carried out in this suggested study employing computer- based mask identification framework based on machine learning. The goal is to achieve high precision detection and classification in real time. A sanitizer is poured only after solenoid contact is powered. For those whose temperature is below or equal to the predetermined temperature, a solenoid lock is utilized to manage the door mechanism.