Zkteco FA11M

FA11M is a high-performance face image acquisition module that supports Visible and Near-Infrared light.

It is configured with an optical system consisting of a wide dynamic image sensor, a megapixel lens, and a Near-Infrared fill light. It is also equipped with a high-performance processor with 400MHz that is capable of capturing high-quality Visible and Near-Infrared face images.

FA11M supports USB interface communication and power supply and supports mainstream operating systems of Windows, Android, and Linux.
We also provide ZKNIRFace 12.0 SDK and ZKLiveFace 5.6 SDK for simple integration with third-party applications and the development of facial recognition systems with high precision and large capacity.


· Supports Visible Light and Near-Infrared face image acquisition.
· Wide dynamic image sensor, suitable for the indoor environment.
· Supports Windows, Android, Linux, and other system development.
· Compatible with USB 2.0 specifications.
· Low power consumption, where the maximum power consumption of the module is less than 2W.



Zkteco FA11M



Type Parameters Value
Sensor Sensor Model HDR CMOS Sensor
Sensor Size 1/2.7 inch
Sensor Type Optical
Image Size (pixel) 480 x 640
Dynamic Range 83dB
Max. Frame Rate 12 fps
Lens Type RGB IR
Optical Wavelength 440 to 650 nm 840 to 860 nm
Field of View (FOV) Diagonal = 45°, Horizontal = 28°, Vertical = 37°
Optical Distortion Rate 1%
Lens Composition Composed of 4-Plastic Lens and an IR-Filter (4P+1IR)
Recognition Distance 40 cm to 80 cm
Interface Host Communication USB
External I/O Digital I/O (Reserved)
Hardware Operating Temp. Range -10℃ to 55
Storage Temp. Range -20℃ to 80
Operating System Windows Windows XP / Windows 7 / Windows 10 (32 and 64-bit)
Android Android 4.1 or higher
Linux Custom
ZKNIRFace SDK Algorithm Function 1:1, 1:N, Human Face Detection
Capacity 6,000 templates
Accuracy FRR = 1.41% when FAR = 0.001%
Recognition Time <300ms (Quad-core Cortex-A9 up to 1.6GHz)
Algorithm Feature Based on the Near-Infrared Facial Recognition Technology
ZKLiveFace SDK Algorithm Function 1:1, 1:N, Gender Classification, Age Estimation, Human Face Detection
Capacity 10,000 Templates (max. 50,000)
Accuracy FRR = 0.26% when FAR = 0.01%
Recognition Time <400ms (Quad-core Cortex-A17 up to 1.8GHz)
Algorithm Feature Based on the Visible Light Facial Recognition Technology, Good Face Angle Tolerance
Power Supply Test Condition: T = 25℃ , VCC = 5.0V Minimum Standard Maximum
Supply Voltage 4.75V 5.0V 5.25V
Current Active 350mA 400mA
Standby 200mA 220mA
Power Consumption Active 1.75W 2.0W
Standby 1.0W 1.1W
Certifications CE, FCC, RoHS