ABSTRACT
The covid-19 epidemic is causing a world pandemic crisis. The powerful device in these situations is to wear a mask in public entry, schools, and super markets to reduce the Covid-19 spread. There are many convolutions face recognition technologies to distinguish effective images for monitoring the discovery of a face mask. Therefore, it is very important to improve the effectiveness of the acquisition methods available in the existing system. The data set value increases in the proposed input to improve the maximum accuracy. The proposed method is used to determine body temperature, face mask, and social retention using advanced machine learning methods. Using the EM8RFID scanner personal data such as temperature value, face mask identification and public distance detection are collected. It is used to indicate the state of human health in a cloud platform. A wireless heat sensor issued to determine a person's body temperature using MLX90614 without anyone. The Raspberry integrated with the pi camera is used in detecting a face mask and a social distance. Raspberrypi captures the image and detects with the convolution neural network algorithm verifying a person is wearing a face mask, following social distance. Therefore, authorities should monitor the human condition in the cloud platform area. By applying this concept, the spread of Covid-19 can be greatly reduced and it is easier to identify peoplewith Covid-19symptoms. © 2022 IEEE.
ABSTRACT
As a critical constituent of many institutions domestic safety and protection precedence, surveillance has mounted its significance and advantages several instances with the aid of using offering instant supervising of possessions, humans having access to your private home and property. This project deals with the layout method of an Embedded Real-Time automated door lock safety device the use of pi digital camera primarily based totally on Raspberry Pi 3 for intruder remark that enhances surveillance generation to offer critical safety to homes and related control. An embedded internet server creates a clean manner for tracking & routinely locking the door any device. The Raspberry Pi primarily based totally Automatic Door Un-locking system the use of a pi Camera affords the concept of tracking a selected area in a far flung vicinity and stumble on the unknown face if they are attempting to enter. The door gets unlock only when it detects the known face and switches on the home lights as home application. When unknown or unauthorized person's face is detected, this device will ship SMS and the picture of the unauthorized person is sent to the owner's mail. The diligent of contemporary COVID-19 situation. As temperature test performs crucial position in controlling unfold of covid, the proposed project has an extra characteristic of temperature test of the individual that attempts to go into the house. So, it has even temperature sensor and LCD which will ask the person to measure his temperature and display the temperature, the measured temperature is also send to cloud so that owner can view the person temperature. © 2022 IEEE.