Face mask detection using neural network with automatic temperature detection

Project Title

Face mask detection using neural network with automatic temperature detection

Project Area of Specialization Artificial IntelligenceProject Summary

Face mask detection has evolved a popular problem in image processing and computer vision. Many new algorithms are being devised using convolutional architectures to make the algorithm as accurate as possible. We will design an application which can detect face mask by using Convolutional neural network. Convolution neural network is the deep learning algorithm which work to process the image and give us output. Deep learning algorithms like CNN work like a human brain visual cortex system which detect the things and recognize the place very easily in case of face mask detection application we will learn the machine as a neural network that is the phenomena of deep learning. We will design Intelligence application which can detect face mask whether the person is wearing the mask or not also we will detect face by using computer vision, and we will do automate temperature check-up using temperature sensor it will check step by step first mask detection and then sense the temperature, and it will alert by using Gmail API to alert the authorities by sending mail its pic and detail of person is wearing or not wearing the mask. So in this project we will try to work on an Artificial intelligence application which can detect face mask as well as temperature sense in sequence and then generate the mail to authority that a specific person is wearing a mask or not and how much temperature he has with date and time mention on mail it's all happen with deep learning algorithms that helps us to deal with big data import and get efficient results during training the model. Why we use deep learning instead of machine learning algorithm because in deep learning we can import a huge number of data because in deep learning greater the data set higher the accuracy other hand machine learning work on small amount of data so that's why we used deep learning algorithm to make Artificial Intelligence application which detect face mask and temperature step by step also capture the image and send to mail of authority that can check remotely.

Keywords---  Convolutional  Neural Network, Computer Vision, Deep learning,  Cascade Classifier, Temperature sensor

Project Objectives

In this project our Objective is to detect face mask using deep learning algorithms named as Central Neural Network it basically works on images and predict the result on the basis of their training and give us output like that a person having a mask on their face or not secondly by using IR temperature sensors to check the temperature aromatically we will implement that features on software as well as hardware we will do face detection using CNN and automated temperature check-up using sensor also integrate all features and make it AI application which automatically check temperature and face mask for safety purpose. Apart from that our main function and objectives are listed below:

1. Face Mask Detection
2. Face Land marking
3. Temperature Detection using sensor
4. Mail alert including snap of particular person

Project Implementation Method

We use python to built or implement automated AI application which can detect face mask at the same time temperature too. The proposed methodology demonstrated its effectiveness in detecting facial masks by achieving high precision, recall, and accuracy. In this project we will first try to implement the face mask model on embedded system and then integrate with temperature sensor along with servomotor for rotation the model that we make is totally trained by neural network like CNN and apart from that we use some sensor library like pi camera and servo motors to implement on real time. 

The basic tools which we used to develop my AI based project that is given below.

• Tensor flow
• keras
• cascade classifier
• d lib
• NumPy
• Some servo and temperature sensor library

So far that is all about tentative information that we used to implement our project in efficient way 

Benefits of the Project

In that project we try to make an AI application which is face mask and temperature detection made by using neural network model which is very efficient to use in the time being. That is more beneficial project in time being like we face all COVID-19  disease that effect person to person and people are fighting two war first one is economy and other is Health so if we want to protect from that we have to wear face mask and check our temperature daily for safety purpose. So that thing motivated us to make that project. Some benefits are listed below

• COVID-19 Purpose  
• Medical, Hospital
• School. College and university
• Monitoring SOPS in Public area 

Technical Details of Final Deliverable

In above, we discuss all prospective of our project it might be Summary, introduction, implementation technique, Benefits and application that all we studied till now, and we are working  on that project with our respected supervisor and work hard to complete it as soon as possible. When we complete it we will send you complete hardware in a timely manner in working condition, as we mention our timeline below.

Final Deliverable of the Project Hardware SystemCore Industry ITOther Industries Education , Transportation , Health Core Technology Artificial Intelligence(AI)Other Technologies NeuroTechSustainable Development Goals Good Health and Well-Being for PeopleRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	42350
Research paper writing and printing plus thesis printing other stuff	Miscellaneous	10	1000	10000
Raspberry pi	Equipment	1	17000	17000
Servo Motor plus casing	Equipment	2	500	1000
Pi camera	Equipment	1	4500	4500
Card for raspberry pi	Equipment	1	1000	1000
Temperature sensor	Equipment	1	2300	2300
Pi casing	Equipment	1	250	250
Fan	Equipment	1	300	300
Power supply stuff	Equipment	9	500	4500
Jumper wires	Equipment	1	500	500
Adapter	Equipment	1	1000	1000