International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 09 Issue: 05 | May 2022
p-ISSN: 2395-0072
www.irjet.net
Precaution for Covid-19 based on Mask detection and sensor Shibin Sibi1, Gayatri Jamkar2, Aishwarya Jadhav3, Dr. S.L. Lahudkar4 Student, Dept. of Electronics and Telecommunication Engineering, Imperial College of Engineering and Research,Pune, Maharashtra, India 4 Assistant Professor, Dept. of Electronics and Telecommunication Engineering, Imperial College of Engineering and Research,Pune, Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------1,2,3,
Abstract - This project has developed a way to deal with
or learn about machine learning we have to search online for a great resource. Existing educational sites also do not provide us with information about multiple reading libraries in one place.
head-to-head separation by adopting color-coded color analysis and line images. The proposed method combines color space and face height with a gray image and trains CNN to extract subdivision features. And it’s hardware pulse sensor monitors human oxygen levels and detects and monitors temperature through a temperature sensor.
Only existing code is available in the existing system, which is only available for learning purposes but no such option is available manually over different modules in one place. There is no such option available to compare user modules with existing modules.
Key Words: Python, Internet of things, Visualization, Raspberry Pi
4. PROPOSED SYSTEM
1. INTRODUCTION
In our system, we overcome the barriers of the existing system. In the proposed system the user will be able to access all the machine learning modules in one place. The user does not have to dig deep through the vast internet of each Machine Learning module. In the proposed program, we will bring all Machine modules to one place for learning, use, and practice.
The proposed system will provide easy access to various machine learning modules, helping users to understand and use them according to their will. Face mask detection has become an important computer vision task to support the global community, but research on facial mask detection has been limited. we use a raspberry pi as a case management tool cv library is used for face detection, and face detection is done using image processing technology.
We will also add a comparison system between the existing module and the modified user module and check the performance time.
2. MACHINE LEARNING "AI is about learning about making PCs learn and act as human beings, moreover, developing their skills in the long run independently, in the form of taking care of information and records such as ideas and verified communication." AI statistics use scales to find designs with large amounts of information *. Moreover, here, information covers many things — numbers, words, pictures, clicks, what you have. At the risk of being carefully removed, it is best to take care of AI calculations. AI is a cycle that empowers the huge numbers of administrations we use today — framework frameworks like these on Netflix, YouTube, and Spotify; web search engines like Google and Baidu; web-based media channels such as Facebook and Twitter; voice colleagues like Siri and Alexa. The rundown continues. All in all, in each case, they have seized it, despite obstacles we can scarcely imagine. " Think about what you might want immediately. Machine learning offers to make the machine smarter and more reliable.
It will help to reduce attempts to dig out Modules over the larger internet. It will be considered an educational system for users to learn.
4.1 CNN Algorithm Convolutional Neural Network (ConvNet / CNN) is an indepth Learning algorithm that can take a captured image, assign value (readable weight and bias) to the various elements/elements in the image, and be able to distinguish one from the other. CNN is widely used in image analysis functions such as image recognition, object detection, and classification. There are three types of layers in Convolutional Neural Networks: 1) Transformation Layout: In the normal network of each neural neuron input is connected to the next hidden layer.
3. EXISTING SYSTEM There was no education system available for reading in reading libraries especially in one place, if we want to know
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