IDS Imaging : U3-3160CP Rev. 2.2
Description
The USB3 industrial camera U3-3160CP Rev. 2.2 with 2/3″ global shutter CMOS sensor PYTHON 2000 from onsemi delivers the full resolution of 2.30 MP (1920 x 1200 px pixels) with up to 169 fps.
Thanks to the sensor’s unique AOI function (horizontal and vertical readout), the industrial camera achieves exceptionally high frame rates. The uEye+ CP camera is particularly suitable for applications in the fields of medicine and industry as well as for visualisation tasks.
Available as monochrome or colour version.
Features
Characteristics |
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Image Acquisition |
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Flashing |
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Image Adjustments |
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On-board Image Processing |
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Others |
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Specifications
Item number | U3-3160CP-M-GL Rev.2.2: 1008066U3-3160CP-C-HQ Rev.2.2: 1008065 |
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Data sheet | U3-3160CP-M-GL Rev.2.2U3-3160CP-C-HQ Rev.2.2 |
Camera family | CP |
Interface | USB 3 |
Interface-Speed | 5.00 Gbps |
Sensor type | CMOS |
Sensor manufacturer | onsemi |
Frame rate @ resolution max. | 169 fps |
Resolution (h x v) | 1920 x 1200 px |
Optical Area | 9.216 mm x 5.760 mm |
Shutter | Global Shutter |
Optical class | 2/3" |
Resolution | 2.30 MP |
Pixel size | 4.80 µm |
IP code | IP30 |
Sensor model | PYTHON 2000 |
Product Life Cycle | Series |
U3-3160CP-M-GL Rev.2.2 - Feature list | Data sheet |
U3-3160CP-C-HQ Rev.2.2 - Feature list | Data sheet |
CAD Data | CAD Data |
Technical drawing | Technical drawing |
Applications
Inspection applications
IDS cameras can be used to check for completeness or material defects and to detect defects or bar/matrix codes.
Machine vision
Industrial image processing is used in a wide variety of applications - from quality assurance to automation.
Medical technology (and laboratory automation)
Image processing is indispensable in medical technology. For instance, IDS cameras provide data for diagnostic purposes in ophthalmology or dentistry.
Object tracking
Whether in sports, on the production line or in research projects - IDS cameras keep a close eye on objects.
Quality assurance
IDS cameras are used in different production phases, e.g. by checking completeness or by detecting defects.
Visualisation
Recognize details more accurately - for example, by displaying close-up images on monitors.