In this project we approached the problem of developing a computer-based system which can identify whether people in images are wearing masks or not. To do so, we divided the project into two primary research areas: hardware and software. The hardware team inspected camera solutions and data gathering efforts on campus to assist the software training of the machine learning model. The software team learned how to work with machine learning by using TensorFlow and Python to use transfer learning to develop a model that will quickly detect if someone was wearing a mask or not
Face recognition is an important factor in everyday social interaction. Bruce and Young\u27s (1986) ...
This thesis considers the problem of tracking an object in world coordinates using measurements obta...
Augmenting human computer interaction with automated analysis and synthesis of facial expressions is...
At the present, the use of face masks is growing day by day and it is mandated in most places across...
This thesis describes the design and implementation of a framework that can track and identify multi...
Face Detection has been applied in many fields such as surveillance, human machine interaction, ente...
Human face detection and recognition play important roles in many applications such as video surveil...
When viewing unfamiliar faces, photos of the same person often are perceived as belonging to differe...
Training a system of artificial neural networks on digital images is a big challenge. Often times di...
The technology for driver safety has been developed in many fields such as airbag system, Anti-lock ...
Face detection has been one of the most active research topics in computer vision over the past deca...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...
By far, lung cancer is the prominent cause of cancer deaths for both men and women around the world....
Scene understanding has become a fundamental research area in computer vision. To achieve this task,...
This paper proposes a pig pose estimation operating with Region Proposal Network (RPN) of Mask Regio...
Face recognition is an important factor in everyday social interaction. Bruce and Young\u27s (1986) ...
This thesis considers the problem of tracking an object in world coordinates using measurements obta...
Augmenting human computer interaction with automated analysis and synthesis of facial expressions is...
At the present, the use of face masks is growing day by day and it is mandated in most places across...
This thesis describes the design and implementation of a framework that can track and identify multi...
Face Detection has been applied in many fields such as surveillance, human machine interaction, ente...
Human face detection and recognition play important roles in many applications such as video surveil...
When viewing unfamiliar faces, photos of the same person often are perceived as belonging to differe...
Training a system of artificial neural networks on digital images is a big challenge. Often times di...
The technology for driver safety has been developed in many fields such as airbag system, Anti-lock ...
Face detection has been one of the most active research topics in computer vision over the past deca...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...
By far, lung cancer is the prominent cause of cancer deaths for both men and women around the world....
Scene understanding has become a fundamental research area in computer vision. To achieve this task,...
This paper proposes a pig pose estimation operating with Region Proposal Network (RPN) of Mask Regio...
Face recognition is an important factor in everyday social interaction. Bruce and Young\u27s (1986) ...
This thesis considers the problem of tracking an object in world coordinates using measurements obta...
Augmenting human computer interaction with automated analysis and synthesis of facial expressions is...