Abstract
Derived from the pandemic COVID19 that we are currently experiencing as a security measure it is very important that people wear face masks especially in public places, to try to minimize the spread of the SARS-Cov2 virus; this Project consisted in the detection of faces with and without face masks applying Deep learning neural networks, it was developed by using Python and the libraries TensorFlow and OpenCV which allowed to apply learning rules to artificial vision systems. The above would allow the installation of artificial vision systems in public places soon to warn and invite people to wear face masks when detected by the system.
Highlights
During the present year 2020 the most important event that has occurred worldwide there is the arising of the COVID19 pandemic, in the far East in the Peoples Republic of China in the Wuhan City, Hubei province
Is being loaded and later it was started the video through the connected webcam defined as “src”, the value of this variable was used to indicate which web camera would be used (Fig. 5), the number 0 is the default camera. It was determined through the models created with the images that served as a training set, if there was a face with or without a mask, once this was done a label was programmed on the frame created for the face, which would indicate if a face with or without mask was detected, in the case of having a face mask the frame and the legend would be indicated with a green label, otherwise since there were no face masks, the frame and the legend would be indicated with a red label, a window was created where the video was shown and in the case of wanting to leave form this window you must press the letter “q” (Fig. 6)
To validate the efficiency of the prototype of the developed system many tests were carried out, executing the code through Anaconda prompt, putting this in operation, in the same way that it was tested with different people and different types of face masks, having a very efficient and satisfactory system behavior. (Fig. 9 a and Fig. 9 b)
Summary
During the present year 2020 the most important event that has occurred worldwide there is the arising of the COVID19 pandemic, in the far East in the Peoples Republic of China in the Wuhan City, Hubei province. Such event shook the world, paralyzing the global economy, making humanity to reevaluate their priorities. A Deep neural network combines multiple layers of nonlinear processing, using simple elements that operate in parallel and inspired by biological nervous systems. It consists of an input layer, several hidden layers, and an output layer. Layers are interconnected through nodes or neurons, and each layer uses the output of the previous layer as input
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