The system is designed to evaluate people's reactions to advertisements, products, packaging, design, service quality, speaker presentations, educational materials, and any other audiovisual information.
The software recognizes all basic human emotions, counts the number of unique faces, determines age/gender, tracks changes in emotions and their intensity in real-time, promptly alerts interested parties about pre-configured events, and builds statistics on the perception of any product or service.
Evaluation of Information Perception Displayed on Screens
The system is a software-hardware complex consisting of a display with streaming video content and a camera. The camera can be positioned within 1.5 meters of the display or mounted inside it.
How It Works
- The software detects the presence of people in the camera's field of view;
- The algorithm recognizes gender, age, the number of unique faces, and their emotions;
- The software automatically assesses attention to the content displayed on the screen for all observed people: how many people passing by paid attention to the displayed content, how their emotions changed during viewing, the average viewing duration for each target audience category, and the most prevalent emotions;
- For any period, the system can generate an automatic content scoring based on emotional response, as well as statistics and analytics on how target groups perceive the content.
Where It Is Used
- Marketing and advertising: to assess and predict potential customer interest in new products and services.
- Product and service manufacturers: to evaluate the perception of new products and services, segment by target audience, and identify "warm" clients.
- HR departments: to assess the overall motivation level of employees and promptly respond to deviations from the norm.
- Educational institutions and conference organizers: to evaluate the perception of presentations, speakers, and educational materials to identify problem areas.
- Hotels, banks, government agencies: to assess the quality of customer service, promptly react to sudden mood changes, and identify top-performing employees based on customer feedback.
