Zkteco BioServer 2

The BioServer 2 mini-server can be used as a back-end server for facial recognition devices under small scale application. BioServer 2 receives video streams from front-end cameras or captured photo streams, then perform 1: N face comparison, and reports or synchronizes the results to access control, time & attendance or surveillance system for further usage. With strong performance and directional optimization of the server-level facial recognition algorithm, the speed of facial recognition can easily reach 50 faces per second.

The BioServer 2 mini-server is equipped with a tensor processor which provides up to 3.2 TFLOPS dual precision peak computing ability and embedded 16MB of SRAM, while greatly improves the reasoning performance of artificial intelligence, it also reduces the power demand. The processor chip has reached millisecond-grade response in mobile lightweight universal face benchmark model Mobile-net latency test which is only a half or a quarter of industry mainstream chip.

Call Us:

01785-777722, 01711-461346

Office Locations: Uttara | Malibagh

Description

Zkteco BioServer 2

Parameter

Hardware
Dimensions (W*D*H)115*210*45mm
Network interface1* gigabit ethernet port
Buttons
Reset button; press and hold the button for 5s to restart the device;
press and hold for 15s to reset all parameters to initial factory values
PWMSupported
RAM8GB
Flash32GB
Average / peak power50W / 80W
Cooling systemSpontaneous cooling
PowerDC 12V; AC 100-240V
StorageLocal and cloud storage
System Parameters
Operating systemLinux
Maximum storage30,000 facial templates
Recognition speed50 pictures / second
Video processing capability16 channels
Video input standardH.264
Cache capacity for facial picture8GB
Result’s return time for real-time facial capturing32GB
Result’s return time for real-time facial comparison50W / 80W
Algorithm Parameters
Maximum number of detected faces per frame20
Maximum number of recognized faces per frame8
Pose angle tolerance for face detection±60° (yaw, pitch, roll)
Pose angle tolerance for facial recognition±45° (yaw, pitch, roll)
Minimum face size for capturing30 * 30 pixel
Minimum face size for recognition70 * 70 pixel
Dynamic facial expression recognitionAvailable
Facial recognition accuracy rate98.5%
Environmental Requirements
Applicable locationIndoor
Storage temperature-40 ~ 70 °C
Working temperature0 ~ 45 °C
Working humidity
10% ~ 90%
(non-condensing)
Zkteco BioServer 2
Zkteco BioServer 2