Face Analysis

Emotion estimation detects facial expressions from images or videos and returns the probability distribution of each of the six universal emotions: happiness, sadness, anger, fear, surprise, and disgust, and additionally neutral.

• Automatic facial expression analysis of one or multiple faces in real time
• More complex emotions estimation available upon request
• Emotions are presented as bar graphs showing the distribution of each emotion

Landmarks such as the location of the pupils, eye corners, lip boundaries, etc. change with age. Our algorithm was trained on a large database of different faces to detect the approximate age of a person based on such features.

• Age estimation accuracy up to +/- 5 years
• Accuracy depends on conditions such as lighting, head pose, etc.