F9-c61 Smart Facial Recognition Tablet Terminal supports multiple verification methods including facial recognition, hidden-card scanning, and QR code scanning via mobile APP (both dynamic and static codes). Equipped with the Android operating system and a self-developed AI facial recognition algorithm, the device delivers fast and accurate identification performance. As a professional identity verification terminal, it is widely used in access control management, employee attendance, visitor check-in, and various other security and authentication scenarios.

Entry and exit permission management
Employee clock-in and clock-out tracking
Visitor identity verification
Access authorization and passage permission validation
Built with a seamless one-piece die-cast housing, the device delivers exceptional structural durability and sealing performance without assembly gaps. Designed for harsh environments, it offers outstanding resistance to high temperatures, humidity, and prolonged sun exposure without aging or deformation. With added fire-resistant properties, it is suitable for both indoor and outdoor applications, ensuring reliable long-term operation in complex environments.
Powered by a high-performance octa-core processor, the device provides strong computing capability and rapid response for the entire facial recognition workflow, including image capture, liveness detection, face comparison, and access authorization. Equipped with 2GB RAM and 16GB Flash memory, it supports smooth multitasking without lag, enabling simultaneous face database loading, record storage, and background communication while maintaining stable performance under continuous heavy workloads.
Featuring a 2MP dual-lens infrared camera combined with advanced liveness detection technology, the device completes identity authentication within 0.2 seconds while effectively preventing spoofing attempts using photos, videos, or masks. Adaptive wide dynamic range imaging ensures fast and accurate recognition even under backlight, low-light, or strong-light conditions, minimizing false recognition and missed detections.
From face capture and liveness detection to identity verification and door unlocking, the entire process is completed within ≤0.2 seconds for a truly seamless access experience. Users can pass naturally without stopping, enabling fast and contactless entry. Supporting offline 1:N facial recognition, the system operates independently without relying on cloud servers, maintaining millisecond-level response speed and high recognition accuracy even during network interruptions or peak traffic periods.
Octa-core Processor
Android 7.1
2GB RAM + 16GB eMMC
8-inch IPS Display, Resolution 1280×800
Ethernet, Wi-Fi, Bluetooth, 4G/5G (Optional)
Facial Recognition, QR Code, Card, Password
Dual-Lens Camera, 2MP
M1 Card, CPU Card, Mobile NFC
100000 Faces
2 × Speakers, 1 × Microphone
1 × Ethernet, 2 × Relay, 1 × USB, 1 × RS485, 1 × RS232, 1 × Exit Button, 1 × Tamper Alarm, 1 × Door Sensor Input, 1 × Wiegand, 1 × Alarm Input
12V / 2A
≤15W
-30°C ~ 60°C
0–90% RH (Non-condensing)
222 × 128 × 18.5 mm