UI-5490RE PoE Rev.2.2

UI-5490RE PoE Rev.2.2
Illustrations may differ from the original
Features
  • 3840 x 2748
    10.55 MPix
  • onsemi MT9J003
    1/2" CMOS
  • 6.1 fps
  • Ethernet 1.0 Gbps
Variants
 
 
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Please note: The technical data given here was measured using the IDS Software Suite.
 

The UI-5490RE PoE Rev.2.2 with the 10.55 MPix CMOS sensor (MT9J003STM/STC) from onsemi delivers every detail in top image quality at a resolution of 3840 x 2748 pixels. The integrated scaler allows you to select any image size you require. The sensor also provides horizontal and vertical binning for contrast enhancement as well as subsampling for fast preview modes.

Full HDTV and quad HDTV resolutions are also possible. The PoE version also provides two additional general purpose I/Os (GPIOs). The power supply is provided by the screw-on, dust proof and splash water proof M12 circular connector.

Item number
  • UI-5490RE-C-HQ PoE Rev.2.2: AB10307
  • UI-5490RE-M-GL PoE Rev.2.2: AB10308
Camera family RE
Interface Ethernet
Interface-Speed 1.00 Gbps
Sensor type CMOS
Sensor manufacturer onsemi
Frame rate @ resolution max. 6.1 fps
Resolution (h x v) 3840 x 2748
Optical Area 6.413 mm x 4.589 mm
Shutter Rolling Shutter
Optical class 1/2"
Resolution 10.55 MPix
Pixel size 1.67 µm
IP code IP65/67
Product Life Cycle Discontinued
Sensor model MT9J003
Data sheet

Characteristics

100% quality tested
1 software for all cameras
GigE interface
CMOS sensor
C lens mount
Protection code IP65/67
Power-Over-Ethernet
Colour correction in camera
Internal image buffer
3 years warranty
Made in Germany

Certifications

CE
UL listed
ChinaRoHS EFUP 25
UKCA
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.

Factory / process automation

Cameras are used in monitoring, control, regulation and optimization systems and help e.g. with localization and selection tasks.

Biotechnology and life sciences

Image processing can be used, for example, to analyse living organisms and biological processes - from swarm behaviour to cell division.

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