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Facial Recognition Attendance Biomtric Machine, 12V DC 1A – Q-F11
AED 986.58 VAT included
Facial Recognition Attendance Biomtric Machine, 12V DC 1A – Q-F11
Product Code : SS154002
Approved by : [woo_pro_badges_extended]
free delivery
Above AED1000 in UAE
WARRANTY
For 365 days
always authentic
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Multiple payment options
Description
The Q-F11 is a high-performance facial time attendance system designed to streamline employee attendance tracking with cutting-edge biometric technology. This system supports multiple authentication methods including facial recognition, PIN, and card identification, making it a versatile solution for various organizational needs.
Features
- Advanced Recognition Capabilities: Utilizes a dual-camera system for accurate and fast facial recognition under various lighting conditions, ensuring high reliability and security.
- Comprehensive Language Support: Capable of supporting multiple languages, making it ideal for international and multicultural workplaces.
- High Storage Capacity: The system can store up to 5000 faces and 500,000 identification logs, catering to large organizations with high traffic.
- User-Friendly Interface: The large 4.3-inch touchscreen offers an intuitive interface for both administrators and users, simplifying operation and management.
- Flexible Connectivity: Supports multiple communication methods, including TCP/IP, Wi-Fi, and USB, providing versatility in installation and integration with existing systems.
Specifications
- Model: Q-F11
- Processor: 0.8GHz Single-core ARM Cortex-A7
- NPU (Neural Processing Unit): 0.8T
- Memory: 256MB DDR RAM, 4GB ROM (EMMC)
- Camera: Dual 2MP Cameras - 1 HD Color WDR Camera, 1 Infrared Camera
- LED: High-brightness fill light with dual high-power infrared LEDs
- Display: 4.3-inch Capacitive LCD Touch Screen
- Communication: TCP/IP, U-disk, Wi-Fi
- Power Supply: 12V DC, 1A
- Operating System: LINUX
- Language Support: English, Spanish, Turkish, plus 20 additional national languages with voice prompt support
- User Capacity: 5000 faces
- Record Capacity: 500,000 identification logs
- Authentication Methods: Facial Recognition, PIN, Face & PIN combination, ID (IC card)
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