Brands invest Billion$ in marketing to target their message and to maintain meaningful conversations with their customers.

They lack reliable tools to measure the ROI.

Face Emotions Analytics helps Brands & Retailers gather data & extract insights on their audiences.

Emotion detection measures people’s base emotions on a 0 – 100 scale and detects wether they pay attention to your message. Emotive analytics blends psychology and technology. Face Emotions Analytics categorizes human emotions into 7 categories: Joy, Sadness, Anger, Fear, Surprise, Contempt, and Disgust. MoodMe facial emotion detection algorithms detect faces within a photo or video, and sense micro expressions by analyzing the relationship between points on the face, based on curated databases compiled in academic environments enriched with the company’s propriettary data set which is constantly enriched.

Which Audience? Gender, Age & Ethnicity detection provides accurate demographics data.

Identification recognizes people from data base of individuals’ faces.
Applications:

• smart digital signage with contents personalized to the right demographics.
• detect age to protect minors and prevent them from signing up to Apps & online Services.
• security: access control
• attendance monitoring.

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