Image-based system and method for predicting physiological parameters

A system for predicting physiological parameter of a person based on a facial image thereof, comprising:

• an image processor, electrically coupled with a network, configured to:
• receive from a digital device an image including facial and upper body features of a person;
• process the image to generate a frontal facial image;
• provide the frontal facial image, comprising the facial and upper body features, to a trained neural network model configured to predict an age classification of the person based on the facial and upper body features;
• receive said age of the person from said neural network model;
• and wherein
• said trained neural network model is a regression deep learning convolutional neural network model.

A method for predicting physiological parameter of a person based on a facial image thereof, comprising:

• receiving a request for a gender classification or an age classification;
• acquiring an image with at least facial and upper body features of a person;
• processing said image to a frontal facial image;
• applying the frontal facial image, comprising said facial and upper body features, to a trained neural network model to predict said gender classification and said age classification of the person based on the facial and upper body features;
• providing, in response to said request, said gender classification or said age classification;
• and wherein
• said trained neural network model is a regression deep learning convolutional neural network model.