The AI Face Recognition Access Control System by NIRIKHON (Model NK-FM-AI06F/Access) delivers ultra-fast recognition in under 0.02 seconds, engineered for institutional access control and command & control operations. Anti-spoofing live face detection ensures tamper-proof verification, while multi-authentication support (Face, Fingerprint, RFID, Password, QR) enables flexible security enforcement. With 10,000-face capacity and web-based management, it delivers mission-critical, audit-ready reliability.
The onboard AI engine executes dynamic face matching and live anti-spoofing checks in ≤0.02 seconds, instantly rejecting photo, video, or mask-based intrusion attempts before granting terminal access.
Beyond facial recognition, the terminal integrates fingerprint, RFID card, QR code, and PIN authentication into one unit—giving Access Control Divisions layered, fallback-ready identity verification for every clearance tier.
The 5-inch or larger IPS touch panel gives operators and enrolled personnel a fast, responsive control surface, displaying real-time verification results and system status at the point of entry.
A 2-megapixel-or-higher camera with Wide Dynamic Range and infrared illumination captures clear, high-accuracy facial data around the clock — compensating for harsh backlight by day and near-zero visibility by night.
Onboard TCP/IP and Wiegand connectivity, with optional Wi-Fi, link the terminal directly into existing network and access-control infrastructure, while the built-in relay output drives door locks the instant identity is confirmed.
A fail-safe electromagnetic lock rated at a minimum 600 kg holding force, paired with a durable aluminum door bracket, physically secures the checkpoint and automatically releases during power failure for safe emergency evacuation.
An 8-port Gigabit Ethernet switch with metal housing and fanless design forms the backbone connecting every terminal, lock, and camera into a single, high-throughput Command & Control network.
A rack/tower-mounted server with Intel Core i5 processing, 16GB RAM, and combined SSD/HDD storage centralizes facial data, access logs, and attendance records — powering real-time monitoring and audit-ready reporting across the entire deployment.
The web-based platform captures every verified entry and exit instantly, giving administrators a live operational view of personnel movement across all connected terminals.
The terminal uses live face detection technology that actively distinguishes a real, present individual from a static image, video replay, or worn mask. Combined with dedicated mask-detection recognition, any spoofing attempt is rejected at the point of verification, and the event is logged for review — ensuring only genuine, live personnel can gain access.
The terminal is equipped with an infrared camera for low-light and night-time recognition, paired with Wide Dynamic Range (WDR) imaging to compensate for harsh backlight or uneven illumination. This combination maintains consistent facial capture accuracy whether the environment is fully dark or subject to strong, variable daylight.
Yes. Each terminal supports a minimum enrollment capacity of 10,000 facial profiles and stores up to 500,000 access log records, with real-time data synchronization to the central management platform. This capacity is designed to accommodate large-scale institutional deployments while preserving long-term audit history.
Yes. The terminal provides relay output for direct integration with electric door locks, magnetic locks, and turnstile gates, alongside TCP/IP and Wiegand connectivity for interfacing with existing access control infrastructure. A lifetime-licensed SDK and API are also included, enabling deeper integration into broader institutional software ecosystems without recurring licensing costs.
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