Using camera footage, the system anonymously counts people who pass by or stop in front of a screen, without using facial recognition or personal data. It measures this data over time together with audience density, attention duration, and demographic trends. The system does not identify individuals or store images; it only generates statistical and aggregated data such as how many people were present, how long they looked at the screen, their estimated age/gender group, and their general emotional tendency.

• Anonymous People Counting — People in front of the screen are counted in real time without storing identity or facial data.
• Real-Time Audience Density — The number of people passing by or stopping in front of the screen per minute is measured live.
• Attention Time — The average amount of time people look at the screen is calculated in seconds.
• Age and Gender Segmentation — Counted individuals are classified according to estimated age groups and gender distribution.
• Sentiment Trend Analysis — Facial expressions are used to estimate positive, neutral, or negative sentiment trends.
• Rule-Based Content Triggering — Unisoft CMS automatically changes content according to people-counting data. For example, when audience density increases, a predefined “crowd mode” content scenario can be activated.
• Existing Camera Infrastructure Is Sufficient — No additional hardware investment is required; the system can work with existing IP cameras.
• Edge or Cloud Processing — Counting and analytics can be processed locally on the device for maximum privacy or in the cloud for centralized multi-branch management.
• KVKK/GDPR-Compliant Architecture — The architecture is designed to avoid generating or storing biometric or personally identifiable data and supports privacy-focused deployments in line with applicable data protection requirements.
• Branch-Based Comparative Reporting — Audience analytics from different locations can be centrally compared, allowing successful practices to be identified and applied across the entire network.