Deep Learning–Enabled Smart Safety Precautions and Measures in Public Gathering Places for COVID‐19 Using IoT

Summary

The security dimensions of public gathering cannot be breached and periodic reporting is compulsory in most public gathering places. The Internet of Things (IoT) serving for human safety is widely used nowadays. This methodology incorporates the safety aspects verification of people were entering and traveling from one place to other public places with very high risk. The suggested approach is working on deep learning concepts verifies the presence of the safety things like mask, gloves, and also help to detect temperature to the public who enter in public places like working environments and open places. A camera is positioned in front of the door, entry door, and then from camera with temperature sensor connected with single‐board computer (SBC) verifies the mask and gloves presence by the help of image processing. This project deals on low cost safety precautions that ensure the public safety inside the public gathering places. This device also have the sanitizer sprayer to auto spray when hand placed in front of it. This device includes sensor, Raspberry Pi 3, or any kind of SBC a locking actuators. The public gathering in common places may affect by COVID‐19 and may not but safety precautions are important. Wearing of mask after entering into common gathering places is needed. In such a case, ensuring these safety precautions helps the public to travel in common place with safety. The obstacle sensor triggers the camera sensor, verified by the image processed by deep learning and the required safety requirements. Once the security elements are verified, the GPIO command opens the locks. If the safety aspects are not met, then the reputation of individuals is remembered by the supervisor for more safety measures and disciplinary acts.

By this methodology, above 95% object detection using the principle of deep learning and image processing is done with precision, and the overall output leads mainly to the worker's safety of public places to install the safety measures of workers in less cost and also leads to reduce the workload of the supervisors and to reduce the man power.