FaceBox F1 Dynamic Face Recognition System / Attendance Machine

FaceBox F1 Face Recognition device stands at the forefront of cutting-edge technology, redefining security and access control with its advanced features and robust design. Featuring a high-definition 4.3-inch Capacitive Touch Screen, this device ensures clear visibility and intuitive interaction for users. Powered by a Linux 3.10 operating system, it guarantees stability and reliability in its operations. Under the hood, the FaceBox F1  boasts a powerful 1.2G Dual-Core ARM Cortex-A7 CPU with a 600G (0.6T) NPU and 1GB RAM, ensuring swift and efficient processing. Its 4GB eMMC Flash ROM provides ample storage capacity for data and records.

Equipped with a dual-camera setup, including a 200W Colorful WDR and 200W Infrared live camera, this device achieves an exceptional face recognition accuracy of 99.70%. Its recognition distance spans from 0.5 to 2.5 meters, ensuring adaptability to various environments and scenarios. FaceBox F1  incorporates anti-counterfeiting measures using its dual-camera setup, preventing recognition through unauthorized photo or video attempts.

This device supports USB2.0 for easy data import and export via U disk, ensuring convenient data management. Its DC12V power interface and reserved speaker interface add to its versatility. Facilitating network communication through TCP/IP and USB connectivity, the FaceBox F1  integrates seamlessly into existing systems. It comes bundled with free attendance software, simplifying report generation with Excel export capability via U disk.

Features:

• Display: 4.3-inch 272x480 Capacitive Touch Screen for easy interaction.
• Cameras: Equipped with a 200W Colorful WDR and 200W Infrared live camera for comprehensive visual coverage.
• Manual Brightness Adjustment: Allows manual adjustment of supplement light brightness for effective recognition in low-light conditions.
• Dark Environment Face Recognition: Capable of recognizing faces even in dark environments.
• Recognition Distance: Operates effectively within a recognition distance of 0.5 to 1.5 meters.
• Deep Learning Algorithm: Utilizes a sophisticated deep learning algorithm for enhanced performance.
• Capacity: Supports 5,000 faces, 5,000 cards, and logs up to 500,000 entries.
• Authentication Modes: Offers multiple authentication modes for versatile access control.
• Recognition Speed: Completes face recognition in an impressive 0.25 seconds.
• Stand-Alone Operation: Functions independently without external dependencies.
• Data Transmission: Transmits data to client software via TCP/P, supports C/S LAN communication, USB connectivity, and stores data on client software.
• Image Capture: Allows capture linkage and saves captured pictures for reference.
• Data Management: Enables data import from client software to the device and facilitates local device data management, including search and settings after logging in.