International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 10 | Oct 2024
p-ISSN: 2395-0072
www.irjet.net
Automatic Face Mask Detection system In Public Place Nikita Meshram1, Prof. Sujata Patil2 1 Student, ME, E&TC Engineering (Signal Processing), ICOER, Pune, India.
2 Proessor, Electronics and Telecommunication Engineering, ICOER, Pune, India.
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - COVID-19 pandemic spreading continuously
causes various changes in our daily routines, habits, and activities, ranging from professional conduct to social interactions, sport, and activities. To avoid getting infected or spreading it, It is essential to wear a face mask while going out from home especially to public places such as markets or hospitals. This prompted everyone in the society to put on a face mask in order to protect themselves from the spread of the corona virus. To avoid the above situation, we need to do what we can to turn this into a slow pandemic. A pandemic can be slowed down only by the right responses, mainly in the early phase. In this phase, everyone who is sick can get treatment and there is no emergency point with flooded hospitals. The device was created to ensure that everyone in society wear a face mask.
everywhere in the world. COVID-19 affects all the sector .Many precautions are taking place to reduce spreading of this disease that is social distancing, proper sanitization, wearing mask etc. This project present automatic face mask detection system in public place to help government and public to reduce COVID-19 cases. In this project we find whether people wearing mask or not as well as we find temperature of the person. If people without mask occur then immediately give alert signal and stop entry of that person in that place. After entering the building/place we contiously monitoring person through camera If that person identify without wearing mask then we send email to that person through database. In this project we use Python to build face mask detector also we use Arduino IDE to control the Appliances. We use Temperature sensor, Servo Motor, Buzzer etc.
Face recognition has gotten a lot of attention in recent years as one of the most promising applications in the field of image analysis. Facial detection can make up a significant portion of face recognition procedures. Its strength is to concentrate computational resources on the part of a picture that contains a face. There are several approaches for detecting faces, and we can recognise faces with greater accuracy using these strategies. These techniques, such as OpenCV, Neural Networks, MATLAB, python and others, have a same approach for Face Detection.
Key Words: COVID-19, face mask detector, Arduino, python, Temperature Sensor , Servo Motor, Buzzer, Speaker .
1.INTRODUCTION Novel coronavirus is a new strain that has never been seen in humans before (nCoV). Coronaviruses (CoV) are a family of viruses that cause illnesses ranging from colds to life-threatening diseases such as Middle East Respiratory Syndrome (MERS) and Severe Acute Respiratory Syndrome (SARS) [9]. As a result of the pandemic, people all around the world are experiencing difficult situations. A high number of people are infected and die every day. COVID-19 is spread mostly through droplets that are produced when an infected person coughs, sneezes, or exhales. These droplets are too heavy to float in the air and fall to the ground or other surfaces. If you are in close proximity to someone who has COVID-19, you can be infected by breathing in the virus, or by touching a contaminated surface and then contacting your eyes, nose, or mouth. The WHO gave few guidelines to prevent the spread of novel corona virus. Many protection and safety measures were implemented by governments to reduce disease spread, including mandatory indoor mask wear, social distancing, quarantine, self-isolation, limiting citizens movement within country borders and abroad, and prohibiting or cancelling large public events and gatherings [12].
Arduino is an open-source platform that may be used to create electronic creations. Arduino is made up of a hardware programmable circuit board (also known as a microcontroller) and software (called an IDE) that runs on your computer and is used to create and upload computer code to the physical board. [13]. The device is designed to detect faces and assess whether or not the person is wearing a face mask, allowing us to determine whether or not the individual can enter public spaces such as a building or a hospital etc. The hospital, Offices, market, bus terminals, restaurants, and other public gatherings where monitoring is required can all benefit from this project. We also monitor then person activities inside the particular place whenever person remove there mask then we give them the alert signal.
2. PROPOSED METHOD In fig.1 we show component we are used in face mask detection. In that we used Temperature sensor to detect the Temperature at the entrance of building if temperature is low then buzzer remain off otherwise in on, when camera capture
Despite the fact that the pandemic appeared to be weakening at times, due to the uncertain circumstances, most safety restrictions are still in place. Coronavirus sickness
© 2024, IRJET
|
Impact Factor value: 8.315
|
ISO 9001:2008 Certified Journal
|
Page 658