Sensor-Only Dependence
Basic sensing approaches struggle to reflect the complex variables of real-world environments.
Lower data reliability
No AI cameras needed — analyze visitor count, gender, age, and behavior from existing CCTV footage.
Reliable metrics for accurate visitor analytics and data-driven decision making.
Object recognition accuracy (TTA certified)
Appearance-based Person Attribute Recognition (gender, age group)
AI Line & Zone-based Footfall Analysis (people counting, dwell time)
Typical approaches rely on simple sensors or basic object detection. When visitors overlap or movement paths become complex, counting errors increase rapidly due to technical limitations.
Basic sensing approaches struggle to reflect the complex variables of real-world environments.
In crowded or overlapping scenes, object separation becomes unstable and counting errors rise sharply.
With multi-entry points and intersecting routes, duplicate and missed counts occur frequently.
Using 17-point body recognition technology, it delivers error-free accuracy even in crowded scenes where visitors overlap and foot traffic surges.
Beyond simple headcounts, it analyzes gender, age group (children, adults, seniors), and behavior to provide practical insights for policy and operational planning.
With de-identified statistical processing that avoids storing video, it reduces security burden and supports simplified private contracts as a PPS Innovative Product.
