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The Staff Face Recognition Attendance Machine is lightning fast, identifying faces in just 0.6 seconds and detecting up to 3 faces at once. It’s equipped with cutting-edge technology for lightning-fast and highly efficient identification even if you wear mask. Perfect for industries that require accurate and efficient attendance tracking.
Product Feature:
[Accurate and Reliable Attendance Tracking]:
The staff face recognition attendance machines use cutting-edge facial recognition technology to precisely and dependably keep tabs on employee attendance.
[Contactless Attendance Tracking]:
Due to the ongoing COVID-19 pandemic, contactless attendance tracking has become a must-have. Staff face recognition attendance machines do away with the need for physical contact, making them a secure and sanitary choice.
[Real-time Attendance Monitoring]:
Staff face recognition attendance machines offer live attendance monitoring, enabling managers to stay on top of employee attendance and punctuality in real-time.
[Multiple Authentication Methods]:
Staff face recognition attendance machines offer multiple authentication methods, including facial recognition, fingerprint scanning, card scanning, and password entry, and you can choose the normal way to use.
[Seamless Integration with Existing HR Systems]:
Staff face recognition attendance machines can seamlessly integrate with your current HR systems, making it a breeze to manage employee attendance data.
[Cheap Price Attendance Machines]:
Because we are from factory, so we can provide you with factory price with promising the quality. There are abundant experts and professional equipment to make, so you do not worry that we can not make bulk wholesale.
Product Parameter:
CPU |
SSD222D |
RAM |
Built-in 128MB DDR3 |
Flash |
128MB SPI NAND |
Model Number |
K8 |
Camera |
Color Camera: 1 million (1280*720) pixels Infrared Camera: 1 million (1280*720) pixels Field Angle: 57.2° (D) |
Fill light |
White Filling Light Arrangement (9 SMD LEDs) Miniature Infrared Lamp (2 lamps with 60 degrees Lens) |
Display |
3.5” (320*480) |
Communication methods |
Ethernet Wireless Network (via Bluetooth) USB Device (Firmware Burning, Test Channel) P2P (Optional) |
RTC |
External RTC |
Voice output |
Support |
Working voltage |
DC9-12V 2.0A |
Working temperature |
-10℃~+60℃ |
Working humidity(RH) |
20%~80% |
FAR/FRR |
0.00001/1(%) |
Recognition Speed |
Face Detection: <0.3s (It can detect 3 faces simultaneously) Face Recognition:<0.6s (Every face) |
Recognition Distance |
0.5-1.3M |
Face recognition Angle |
Left and Right: ≤30° High and Low: ≤30° |
Simultaneously Identifiable Number of People |
3 |
Anti-counterfeiting Function of Binocular Living Body Identification |
Detect Mobile Phone Photos Mobile Phone Videos Photos 3D Models, etc. |
User Registration Capacity |
600/1500/3000 (Optional) |
Face Registration Capacity |
600/1500/3000 (Optional) |
Verification Record Capacity |
150000 (The maximum number of punching card records is 300,000) |
Management Record Capacity |
3000 |