Passenger flow statistics utilize intelligent facial recognition cameras to monitor customers entering and exiting scenic spots, shopping malls, and stations in real-time, enabling intelligent management of these areas. It performs statistical analysis and identifies the direction of visitor movement with high accuracy, providing users with real-time, intuitive, and accurate passenger flow data. Traditional passenger flow counting methods often rely on manual registration, which proves inefficient and fails to meet the standards of authenticity, reliability, and accuracy required for long-term needs. 1. Suitable for locations such as scenic spots, shopping malls, stations, stores, halls, and exhibition centers. 2. Real-time monitoring of entries and exits at scenic spots, shopping malls, stations, parks, residential areas, and other venues, counting the number of people entering and exiting. 3. Supports simultaneous detection of multiple people. 4. Utilizes binocular 3D passenger flow statistics based on surveillance, suitable for both indoor and outdoor scenic areas. It can identify bidirectional visitor flow and is unaffected by changes in external lighting conditions. 5. Allows real-time display of passenger flow statistics on LED screens at park entrances and LCD screens at internal attraction entrances. 6. Through data monitoring and comprehensive analysis, it effectively predicts visitor numbers and trends, especially during peak hours, enabling the formulation of various contingency plans to ensure orderly guidance and分流 of visitors, safeguarding their safety. 7. Collects data on internal and external passenger flow, real-time passenger numbers, total visitor count, regional passenger flow rankings, hourly visitor statistics, historical passenger flow, and more. Contact: Chen Wei Tel: 0531-82026192 Contact Numbers: 13306401012, 13287777118 QQ: 350405767, 2233861118 MSN: 13306401012@126.com