The core advantage of this camera is its 8K ultra-high resolution, which captures minute facial details such as skin texture and eye contours, ensuring 99.95% recognition accuracy even in strong backlight, glare, or low-light conditions. Its turnstile-specific fast-pass algorithm reduces recognition time to less than 0.02 seconds per face, supporting up to 60 people per minute passing through a single turnstile, effectively eliminating congestion during peak hours. It supports multi-factor verification, combining face recognition with access cards or QR codes for enhanced security. The large facial template capacity of 100,000 faces meets the needs of large enterprises, universities, and transportation hubs. The IP67 protection grade makes it resistant to water immersion up to 1m for 30 minutes and dust-proof, suitable for both indoor and outdoor turnstile installations. It also integrates with access control management systems, providing real-time attendance data, access logs, and anomaly alerts.
Featuring a 1/1.2" large-format CMOS sensor, this camera captures 8K UHD images with a dynamic range of 130dB, ensuring clear facial details even in extreme lighting conditions such as direct sunlight or dim corridors. The recognition speed is less than 0.02 seconds per face, with a recognition range of 0.2-4m, suitable for both close-range and medium-range access control. It operates in temperatures ranging from -30℃ to 55℃, adapting to cold winter outdoor turnstiles and hot summer indoor venues. The built-in 128GB local storage can store up to 6 months of access logs, with support for encrypted data export. The camera measures 150×100×80mm, designed for embedded installation in standard turnstile frames, and weighs 1.8kg. It supports PoE 802.3at power supply and is compatible with mainstream turnstile protocols including Wiegand 26/34, RS485, and TCP/IP. It also supports face grouping, attribute analysis, and visitor management functions via the accompanying access control software.
This camera is specifically designed for high-traffic access control scenarios. In large commercial complexes, it is embedded in turnstiles at main entrances and parking lot exits to manage tenant and visitor access, ensuring smooth flow during peak hours. In transportation hubs such as high-speed rail stations, airports, and subway stations, it is used for fast passenger verification, reducing waiting time and improving travel efficiency. In large universities and corporate campuses, it is deployed at building entrances, dormitory gates, and cafeteria access points to manage student and employee access, enhancing campus security. It is also suitable for government buildings, financial institutions, and data centers, where high-security access control is required. Additionally, it can be integrated with visitor management systems, allowing pre-registered visitors to enter via face recognition without manual check-in.
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