Emotion AI involves the study and analysis of human emotions making use of technologies including facial recognition, speech and voice recognition, pattern recognition and machine learning. Our Emotional Intelligence System can successfully recognize a range of basic and advanced human emotions including love, anger, disgust, fear, contempt, joy, sadness and surprise in a person in addition to heart rate, age, gender, lie detection, etc. We utilize facial landmarks to extract complex action units, to understand and analyze all sorts of emotions.
Our state-of-the-art Deep Learning models are capable of regressing and distinguishing between human emotions. Through layered datasets and pattern analysis, the model learns to identify which facial features are relevant for the detection of a specific emotion. EmYt offers edge level competency with instant alerts and information through real time dashboard and analytics.
With the help of deep learning algorithms and complex data analysis, we enable machines to detect and appropriately interpret verbal and non-verbal signals from a subject. We build smart machines and intelligent apps through complex algorithms and rigorous data analysis. Our world class Metacognitive solutions - from machine learning to natural language processing - are perceptive, intuitive, problem solving and game changing.