Face Detection Using an Implementation Running in a Web Browser

A face recognition system using machine learning has been developed. Node.js, Face-recognition.js, Dlib technology stacks were chosen to implement the system. The choice of means of realization of the client and server parts is carried out, the architecture of the application is defined. A desktop application has been created. An interface based on the HTML framework of the Twitter Bootstrap framework was developed and a comprehensive system testing was performed.