Abstract:

COVID-19 pandemic has rapidly affected our day-to-day life disrupting the world trade and movements. Wearing a protective face mask has become a new normal. In the near future, many public service providers will ask the customers to wear masks correctly to avail of their services. Therefore, face mask detection has become a crucial task to help global society. This paper presents a simplified approach to achieve this purpose using some basic Machine Learning packages like TensorFlow, Keras, OpenCV and Scikit-Learn. The proposed method detects the face from the image correctly and then identifies if it has a mask on it or not. As a surveillance task performer, it can also detect a face along with a mask in motion. The method attains accuracy up to 95.77% and 94.58% respectively on two different datasets. We explore optimized values of parameters using the Sequential Convolutional Neural Network model to detect the presence of masks correctly without causing over-fitting.
Keywords:dataset,Machine learning CNN

INTRODUCTION:

The trend of sporting face mask publically is rising because of the Covid-19 epidemic everywhere in the world. Because Covid-19 people wont to wear mask to shield their health from air pollution. Whereas other are selfconscious concerning their looks, they hide their emotions from the general public by activity their faces. Somebody treated the wearing face masksworks on hindering Covid-19 transmission. Covid-19 is that the last epidemicvirus that hit the human health within the last century.In 2020, the fast spreading of Covid-19 has forced the who to declare Covid-19 as international pandemic. Quite 5 million cases were infected by Covid-19 in not up to half dozen month across 188 countries. The virus spreads through shut contact and in packed and overcrowded areas. The corona virus epidemic has given rise to a unprecedented degree of worldwide scientific cooperation.Computer science supported machine learning and deep learning will facilitate to fight Covid-19 in several ways.Machine learning a valuate huge quantities of knowledge to forecast the distribution of Covid-19 to function early warning mechanism for potential pandemics, and classify vulnerable population. Folks are forced by laws to wear face masks publically many countries.These rules and law we have a tendency yore developed as associate degree action to the exponential growth in cases an deaths in several areas. However, the method observation massive teams of individuals are changing into a lot of difficult. The monitoring process involves the finding of anyone
who isn’t sporting a face mask. Here we introduce a mask face detection model that’s supported machine learning and image process techniques. The planned model may be detect the mask with image and real time detection people wearing mask or not wearing amask. The model is integration between deep learning and classical machine learning techniques with Oven CV,
Tensor Flow and Keras. We have a tendency to introduced a comparison between them to seek out the foremost appropriate algorithm program that achieved the very best accuracy and consumed the smallest mount time within the method of coaching and detection.

Problem statement:

Wearing a protective face mask has become a new normal. In the near future, many public service providers will ask the customers to wear masks correctly to avail of their services.

Objective of the project:

This study was aimed to Face mask detection recognition using machine learning has become a crucial task to help global society.

Applications:

Airports:When travelling through airports, the proposed method could be quite useful in identifying those who aren't wearing masks. At the entry, traveller data can be collected as movies in the system. The airport authorities are contacted if a passenger is detected without a face mask, allowing them to respond quickly.

Hospitals:To determine whether or not their employees are wearing masks, the proposed technique can be utilised in conjunction with CCTV cameras. A health practitioner who is not wearing a mask may be reminded to do so.
Office:The method proposed could aid in the maintenance of safety standards and the prevention of the spread of Covid-19 or any other airborne infection. A reminder message may be delivered to an employee who is not wearing a mask. The best performance must be considered when selecting a system. As a result, the aforementioned performance indicators can be considered while creating the optimum system for a large-scale implementation.