SSD: A real time CNN-based face mask detection system using single shot bounding boxes detector and mobile net V2.

COVID-19 has continued to be the cause of dilemma for billions or millions of lives even in 2021. A wave of emotion among all individuals plans to get a normal state of life. Therefore, wearing a mask is so important for reducing the flow of viral transmission to provide a way of protection. Though an implementation of this policy is not much achievable manually. By grasping technology key, our propose system is capable of extracting faces who wear mask or who wear not. This system helps to promote face mask utilization and ensure to give secure and safe environment. The paper presents all the tasks were need very systematic approach, startingfrom the collection of the data to the implementation of the solution and till evaluation of the System. All these tasks have been completed successfully and results are mentioned according to expectations. The most challenging task was the domain knowledge, to understand the language. It is one of the major areas and really need very fundamental and conceptual knowledge of Machine Learning, Deep learning and Python. [ABSTRACT FROM AUTHOR]