Time Attendance

Filter > Time Attendance >

Hide

Communication

Display

Power Supply

RFID

  • FaceDepot 4A
    FaceDepot 4ANew
    FaceDepot 4APopular
    EOL
    FaceDepot 4A

    FaceDepot 4A is a Linux based hybrid biometric time and attendance terminal featuring ZKTeco's innovative Visible Light Facial Recognition technology. 


    FaceDepot 4A utilizes deep learning algorithms to perform visible light facial recognition from 0.3 to 2 meters, even in dark or low-light conditions. Also, the terminal enhances pose angle tolerance and antispoofing measures. 


    Additionally, FaceDepot 4A combines with ZKTeco's biometric authentication technologies, multiple verification methods and versatile Wi-Fi / 4G connectivity to meet customers' diverse needs, offering accurate verification.

  • Horus H1
    Horus H1New
    Horus H1Popular
    EOL
    Horus H1

    ZKTeco's Horus H1, a handheld mobile time and attendance terminal designed for versatile use. With the  rechargeable 5200mAh Li-ion battery, Horus H1 can operate for 5 hours without recharging. Also, the high-capacity  battery provides ample power to support Horus H1 to perform hybrid biometric verifications, including facial  recognition, fingerprint verification, NFC, and QR code management.

    The Horus H1 has a GPS chip for location-based attendance tracking and supports various communication protocols,  such as Wi-Fi, 3G, 4G, and Bluetooth. This flexibility ensures that attendance tracking is not limited to a specific  method or location.

    The Horus H1 is built to last, featuring a hexagonal rugged casing, tempered glass surface and an IP65 protection  rating, protecting against accidental drops and vandal attacks.

    Horus H1 is an ideal solution for working in harsh and rainy environments such as factories, construction sites, and  industrial settings.

  • D3
    D3New
    D3Popular
    EOL
    D3

    ZKTeco's D3 is a time & attendance terminal with multi-biometrics authentications and supports  connecting ZKBio Zlink (CloudATT). Also, D3 adopts the facial recognition technology and equips  with the in-glass fingerprint verification method, providing an all-rounded time and attendance  management.  


    When D3 connects to ZKBio Zlink, users can enjoy many features, including remote user  registration and real-time reporting. Additionally, with Zlink CloudATT, users can create flexible  timesheets through D3, setting up timetables with multiple report formats to satisfy various time  and attendance management needs.

  • K50 Pro
    K50 ProNew
    K50 ProPopular
    EOL
    K50 Pro

    K50  Pro, with self-service r eports (SSR) stored in the  terminal, is a 2.8-inch TFT screen Time &  Attendance  terminal with a simple  Access  Control function.  It has an interface  for connection with a third party electric  lock and exit button. TCP/IP communication is a standard function that ensures smooth data transmission  between the  terminal and PC within several seconds. And the USB Host makes data management extremely easy.  Most importantly, the built-in battery can eliminate the problem of power failure. With an elegant  appearance and  reliable quality, y ou can get the best from it.

  • MB50
    MB50New
    MB50Popular
    EOL
    MB50

    • Fingerprint, face, RFID and password 4 type verification mode

    • High-speed identification less than 1 second

    • TCP/IP Port for Internet connection

    • Access Port available to control one lock and exit button

    • Optional 5V 1900mAH UPS, standby up to 3 hours


  • MB20-VL
    MB20-VLNew
    MB20-VLPopular
    EOL
    MB20-VL

    MB20-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. It will automatically operate when it detects a human face in the detection distance  to deliver better recognition quality in terms of speed and accuracy than the previous near-infrared facial  recognition terminals. 

    With the applied Deep Learning algorithm, the pose angle tolerance and anti-spoofing ability against the dynamic enviroment and various spoofing attacks have been greatly enhanced.

    Together with the world’s cutting-edge 3D Neuron Fingerprint Algorithm and comprehensive support in mainstream  card modules, MB20-VL must be the best fit in various working environments satisfying different customer’s needs.


  • MB50-VL
    MB50-VLNew
    MB50-VLPopular
    EOL
    MB50-VL

    MB50-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. It will automatically operate when it detects a human face at the detection distance to deliver better recognition quality in terms of speed and accuracy than the previous near-infrared facial recognition terminals. With the applied Deep Learning algorithm, the pose angle tolerance and anti-spoofing ability against the dynamic environment and various spoofing attacks have been greatly enhanced. Together with the world’s cutting-edge 3D Neuron Fingerprint Algorithm and comprehensive support in mainstream card modules, MB50-VL must be the best fit in various working environments satisfying different customer’s needs.

  • LX50
    LX50New
    LX50Popular
    EOL
    LX50

    LX50, with SSR report (Self-Service-Recorder) stored in the time clock, which is applicable to small chain stores. Employee’s information can be redacted in excel format. Also it is standard with USB Host and USB Client, smart shape design, especially with 2.8 inches TFT display, vivid interface for fingerprint image quality and verification result ect.

You have added a new product to the inquiry form, check it now >

logo

Product Comparison

This website uses cookies to store information on your device, cookies can enhance your user experience and help our website work normally.
For more information, please read our Cookie Policy and Privacy Policy.

Accept