Emotion Recognition Feedback System using OpenCV

Abstract

This project is a real time Facial Emotion recognition system that follows the actual state of mind of the human. Human communicates their state of mind and in some cases what they need through their appearance. It very well may be a grinning face, or it tends to be the face loaded with outrage. Here and there words are not that strong as our looks. This venture comprises of models made through different calculations of machine as well as profound learning. It also includes some of the very powerful Python packages for creating applications that are constantly aware of human behaviour. Some libraries: TensorFlow, Keras, OpenCV, Matplotlib. Facial emotion recognition detects the emotions a person experiences through a webcam or CCTV footage of a face. This problem can be addressed with image classification as it helps the machine learn how to capture emotions from a webcam or camera. Gaining product feedback through emotion recognition helps the food industry learn customer feedback about products. And in the field of military, it can be useful. It can be very useful for identifying the people's behaviour at the border areas to find out the suspects between them. This project is an implementation of the circumstances. It mainly consists of two modules: (i)Filtering and achieve the model for the application using algorithms and (ii) Application for using the model using OpenCV to recognize the human facial expression. Key Words: OpenCV, Real time Face Detection, Facial Emotion Recognition, Facial Recognition, Keras, TensorFlow.