
IDS Imaging : UI-3180CP Rev. 2.1
Description
The USB 3 industrial camera UI-3180CP Rev. 2.1 with 1″ global shutter CMOS sensor PYTHON 5000 from onsemi with full resolution of 2592 x 2048 px (5.31 MP, up to 73.0 fps) can be switched to the square 2K x 2K format to reach higher frame rates. With a unique AOI feature (horizontal and vertical read-out), the industrial camera reaches more than 1000 fps. It achieves 260 fps in common optical 1.3 MP class, e.g. by using the subsampling feature. The CMOS camera is ideal especially for applications in the field of microscopy. Available as monochrome or color version.
Due to the high sensor performance this camera model is not supported in the USB 2.0 mode.
Features
Characteristics |
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Specifications
Item number | UI-3180CP-C-HQ Rev.2.1: AB02545UI-3180CP-M-GL Rev.2.1: AB02546 |
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Data sheet | UI-3180CP-C-HQ Rev.2.1UI-3180CP-M-GL Rev.2.1 |
Camera family | CP |
Interface | USB 3 |
Interface-Speed | 5.00 Gbps |
Sensor type | CMOS |
Sensor manufacturer | onsemi |
Frame rate @ resolution max. | 73.0 fps |
Resolution (h x v) | 2592 x 2048 px |
Optical Area | 12.441 mm x 9.830 mm |
Shutter | Global Shutter |
Optical class | 1" |
Resolution | 5.31 MP |
Pixel size | 4.80 µm |
IP code | IP30 |
Sensor model | PYTHON 5000 |
Product Life Cycle | Not recommended for new designs |
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.