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ZKTeco MB10 is an innovative biometric fingerprint and face terminal for Time Attendance application, offering unparalleled performance using an advanced algorithm for reliability, precision and excellent matching speed.

MB10 is an innovation biometric fingerprint and face terminal for Time Attendance application, offering unparalleled performance using an advanced algorithm for reliability, precision and excellent matching speed. MB10 comes standard with a variety of verification methods, and can also be equipped with Middle East parameters.

View and Download ZKTeco MB10-VL user manual online. MB10-VL touch terminals pdf manual download.

ZKTeco focuses on Biometric Identification development, including verification with fingerprints, faces, finger vein patterns, and iris, in different aspects such as time & attendance, access control, video surveillance, entrance control, smart lock and more.

MB10-VL is a touchless multi-biometric identification terminal featuring ZKTeco’s innovative Visible Light Facial Recognition technology.

MB10-VL is a touchless multi-biometric identification terminal featuring ZKTeco's innovative Visible Light Facial Recognition technology. With the latest algorithm and Visible Light facial recognition technologies, the device can recognize a target in the distance from 30cm to 50cm.

MB10-VL is a touchless multi-biometric identification terminal featuring ZKTeco’s innovative Visible Light Facial Recognition technology. With the latest algorithm and Visible Light facial recognition technologies, the device can recognize a target in the distance from 30cm to 50cm .

ZKTeco MB10-VL is a sophisticated touchless multi-biometric identification terminal that incorporates ZKTeco’s advanced Visible Light Facial Recognition technology. Designed for both time attendance and access control, this device ensures high accuracy and speed in user recognition from a distance of 30cm to 50cm.

mb10-vl – Visible Light Facial Recognition – Anti-spoofing algorithm against print attack (laser, color and black and white images), video attack and 3D mask attack – Multiple verification methods: