Smart Office

The product addresses the issue that algorithms for commercial passenger‑flow analysis impose high requirements on server graphics cards. Adopting the face‑recognition‑based passenger‑flow solution, it distinguishes age and gender information and accurately generates profile characteristics of customer groups.

It precisely counts in‑store visitor volume. Combined with sales data from retail terminals, it analyzes customer behaviors including store entry, in‑store roaming and attention metrics to optimize store layout and improve operational performance and profitability.

Passenger‑flow statistics can be generated by different zones and corresponding time periods. The system can also trigger alerts when the number of people in each zone reaches the upper limit, so as to enhance passenger‑flow management in public venues.