International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 04 | Apr 2022
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p-ISSN: 2395-0072
Contactless Temperature Monitoring and Face Mask Detection with Alert System Saurabh Uthaman1, Samarth Kaikini2, Aniket Shendge3, Lavi Tater4, GayatriHegde5 1,2,3,4Student,
Dept. of Computer Engineering, Pillai College of Engineering., Mumbai University, Panvel, India Guide, Dept. of Computer Engineering, Pillai College of Engineering., Mumbai University, Panvel, India ---------------------------------------------------------------------***--------------------------------------------------------------------5Project
Abstract - In December 2019, a virus called COVID-19 has
the person's body temperature by touching as it may cause a surge in infected people it cannot be used. So several alternate ways can be one of those are use of the MLX90614 IR sensor to measure a person’s temperature without any contact with that corresponding person which is what we have used in our study. Long distance measurement of a person's body temperature may be used to reduce cross-contamination risk and minimize the risk of spreading Coronavirus disease. Studies conducted have shown that 97.7°F – 99.5°F can be considered as normal body temperature.
plagued the world beginning from Wuhan, China. According to the World Health Organization a total of more than 120+ counties has been affected by it. so in order to create a precaution against COVID-19 our goal is to design a live system consisting of contactless monitoring of temperature and face mask detection system with the help of programming languages like Python and C++ and python libraries like opencv, keras, tensorflow, etc with the help of Machine Learning Key Words: Covid-19, Deep learning, Machine Learning, OpenCV, TensorFlow, Keras, MobilnetV2, Arduino Uno, MLX90614 module, Convolution Neural Network
When people all over the world just rejoiced that pandemic has come to an end al, of a sudden there has been a surge of covid patients after nearly one year of near end cases. So in order to face such situations in future we have decided to create a system that helps us to detect body temperature and whether a person is wearing a mask or not.
1. INTRODUCTION In December 2019, a virus called COVID-19 has plagued the world beginning from Wuhan, China. According to the World Health Organization a total of more than 120+ counties has been affected by it. There have been more than 500 Million infected by the virus and more than 6 Million deaths caused by it. India itself has more than 20 Million patients and 300K deaths. Some people even after being vaccinated get infected by it and in early stages of pandemic there was a short supply of vaccines which resulted in skyrocketing of infected patients.
2. PROPOSED MODEL 2.1 Face Mask Detection
Since the virus is transmitted through the medium of air, wearing a face mask is one of the most effective ways to prevent getting infected by the virus since social distancing is not possible because of economic instability and other reasons. Thus, for this reason a face mask monitoring system was introduced. The face mask recognition system can be used in various public transportation service centers, Restaurants, Education Centers, etc. This system helps us whether a given person is wearing a mask or not. The face mask monitoring system to work properly requires to capture a human face, capture facial motions.
The face mask detection module has a total of 6 steps they are Step1: Dataset creation. Step2: Data Processing Step3: Splitting and training the data Step4: Model creation Step5: Model testing Step6: Implementation
According to the survey conducted by various parties it is detected that more than 60% of infected people have pyrexia. This is also a method which helps the authority to check whether the given person is infected or not. But use conventional temperature people as it requires to check
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