Authors: Dr. S. M. Mowade, Akash Katre, Akash Nandanwar, Alok Singh, Akshay Choudhary, Akash Gaydhane
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Conventional doors usually consist of key housing and a key saddle to open it in the current pandemic situation that has arisen due to covid-19, so every human being is required to take precautions such as wearing a mask , keeping a distance , washing hands , not touching anything if not unnecessary. Research method literature study, collection of supporting materials and tools, program Design and Realization, testing and Analysis of program Results, making final Report. The automatic door control system with a body temperature sensor is a prototype made to prevent spread of covid-19 by reducing direct physical contact this is spread through droplets attached to conventional doorknobs. Technology can be implemented in crowded areas such as shopping centers offices, restaurants that are placed in indoor areas that are not exposed to direct sunlight.
In today`s era, the development of science and technology plays and important role in human civilization. With the increase in knowledge, and technology that is mastered or applied, it is hoped that human can improve overall human welfare, although negative impact always appears along with human technological advance. Today`s technological developments can be seen that many tools have been created in order to provide convenience to the community in carrying out work. For example, to open and close a large door if done manually it will take lot of times and energy. In this case, a tool will be made that can be used to that the door can open and close itself automatically. Conventional doors usually consist of key housing and key saddle to open it. Generally, the door can be made more practical in the office. The door will automatically open if there is a stimulus (physical energy) that move it. Fore example, when someone wants to enter the room, the door will automatically open. Doors like this can be designed using automatic control using embedded system equipment such as microcontrollers. This automatic door system can be designed using automatic control combined with sensors and servo motors. In terms of input equipment, a PIR (Passive Infrared Receiver) sensor is used which can detect humans approaching the door, this PIR sensor will send a single to the Arduino process unit in which there is a microcontroller chip the microcontroller will send the processed data to the servo motor so that it can open closed the door automatically. In the current pandemic situation that has arisen due to COVIND 19, so every human being is required to pay precautions such as a wearing mask, keeping a distance, washing hand, not touching any think if not unnecessary. bit something like tables, door, vehicle, etc. we touch so tree is a possibility of spreading diseases. On campuses and offices, people meet so there is a possibility of spreading diseases by touching doors or other things that contain. this project is date on automation, where we will make an automatic door opening and closing mechanism.
II. LITERATURE REVIEWS
After reviewing the various research paper relevant to Coconut Peeling Machine, the conclusions are stipulated below.
The automatic door control system with body temperature sensor has been completed. The design of this prototype uses an arduino microcontroller using the C programming language. The accuracy of the MLX90614 temperature sensor compared to a thermogun is 95%, so that the sensor can be used as a body temperature measuring device. The test results on the prototype prove that all systems and components of the automatic door control system with body temperature sensors can work with a percentage level of 100%. Therefore, an automatic door control system with a body temperature sensor can be implemented in crowded areas such as shopping areas, offices, restaurants that are placed in indoor areas or indoor areas that are not exposed to direct sunlight. In this study has shown significant results The accuracy of the MLX90614 temperature sensor compared to a thermogun is 95%.
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Copyright © 2022 Dr. S. M. Mowade, Akash Katre, Akash Nandanwar, Alok Singh, Akshay Choudhary, Akash Gaydhane. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.