PERCEPTION OF HUMAN EXPRESSION, AGE AND GENDER RELATED VARIATIONS OF EMOTIONRECOGNITION BASED ON LIVE CAMERA IMAGES IN DEEP LEARNING USING PYTHON

Abstract

Now-a-days online marketing is rapidly increasing. As a growth, we capture the customer images through web camera. Depending on their age, gender and expression of mood easily continue our product marketing in online. Automated face detection methods are substantial for facial identification, head position analysis, and human-computer communication. Face detection is a method for detecting and analyzing a human face in a webcam image. Identifying gender and oldness has now established itself as a key step in numerous human-machine communications. It can be used in advertising, security, and all other areas where gender and age recognition help them better to do the task given to them. Gender, oldness and mood of user forecast is the initial tool for any system which utilize it to scale their performance through personalized communication with the user of certain age and gender and mood of customers to improve our business online itself with high preference.