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3D Scanner Z17OR For 3D printer Handheld Body Face Object Scan Modeling Software

$ 105.59

Availability: 100 in stock
  • Interface: USB 2.0
  • Type: Handheld
  • Return shipping will be paid by: Buyer
  • Scanning Technology: Laser
  • All returns accepted: Returns Accepted
  • Item must be returned within: 30 Days
  • Refund will be given as: Money Back
  • Features: None
  • MPN: Does Not Apply
  • Model: None
  • Maximum Resolution: None
  • Export File Formats: .stl
  • Brand: Unbranded
  • Condition: New

    Description

    Somatosensory Camera 3D Scanner Z17or for 3d Printer Handheld Body Face Object Scan 3d Modeling Ros Robot With Software
    Parameters:
    Name
    Astra pro
    Depth range(meter)
    0.6m-8m
    Power consumption
    2.5W Max, Peak current is less than 500mA
    Color image resolution
    1280×720@30FPS
    640×480@30FPS
    320×240@30FPS
    Depth image resolution
    1280×1024@7FPS
    640×480@30FPS
    320×240@30FPS
    160×120@30FPS
    Size(mm)
    165×40×30mm
    Precision
    ±1-3mm@1m
    Color FOV
    H66.1′V40.2′
    Depth FOV
    H58.4′V45.5′
    Delay(ms)
    30-45
    data transmission
    USB2.0 or above
    Support operating system
    Android/Linux/Windows7/8/10/ROS
    Supply power
    USB
    Shipping List:
    Package=Depth camera + base with 1pcs extension cable
    System Requirement for 3D Scanner:
    Hardware:
    In order to make the 3D scanner run with high performance, it is recommended that the user's computer meet the following specifications:
    Processor: Intel i5 or i7 processor;
    Memory: 4G or above;
    Transmission: independent USB 2.0 transmission bus;
    Graphics card: NVIDIA GeForce discrete graphics card is recommended, such as GT710M or GT750M;
    Operating system: Windows7 and above;
    Warm prompt:
    Note 1: Meeting the above specifications at the same time does not mean that the computer and the 3D scanner must match. Please contact the computer manufacturer for a few exceptions.
    Note 2: It is recommended to use a 3D scanner to test whether the computer system supports it.
    Use case: Ubuntu and ROS environment use
    Windows environment uses bone recognition