CROWD FACIAL EMOTION DETECTION USING DEEP LEARNING









Abstract

Ever since the digitalization of technology has been evolving exponentially, so are the complexities related to them. One of the technologies that gained primary attention is facial expression detection. Facial expressions are the changes occurring on the human face indicating a person's internal emotional states, intents, or societal communications[1]. The approach chosen is to divide it into two phases where the first phase includes recognizing the faces, the final phase involves expression analysis. This project intends to solve the problem that arises with an increase in population and to cope up with the evolving technology to get better every day. Here the machine will automatically detect the crowd count, then it will give a complete analysis of the facial expressions and can also uphold immediate alerts if any suspicious activities take place[2]. The project is effective not only in crime investigation but also useful for analyzing the feedback, increasing security by taking care of the unusual activity tracking, it can also be used in making a cop’s job easy in finding a missing child, it will also be useful in detecting the heart strokes of people.


Modules


Algorithms


Software And Hardware