DALSA GENIE NANO-M2590

SKU#: 31835

Versatility and high performance in the smallest package

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Teledyne DALSA - Genie Nano-GigE
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Product Features

Attributes
Active sensor size (horizontal, mm) 12.4
Active sensor size (vertical, mm) 9.8
Bit depth 10, 8
Connector a: video RJ45 - (V) - Female
Dimension (depth, mm) 40.6
Dimension (height, mm) 29
Dimension (width, mm) 44
Frame rate (Hz) 42.7
Resolution Horizontal (Px) 2592
Housing small
Interface Gigabit Ethernet
Interface configuration 1 GigE
Lens mount C-Mount
Note 1 22 fps without TurboDrive
Pixel size (µm) 4.8
Resolution (MP) 5.3
Scan type area
Sensor configuration Single sensor
Sensor format 1"
Sensor model Python 5000 P1
Sensor size diagonal (mm) 15.9
Sensor type CMOS
Shutter type Global shutter/Prog scan
Wavelength range Monochrome, Visible
Resolution Vertical (Px) 2048
Weight (kg) 0.046
  • Sensor: large range of leading CMOS image sensors, from Sony and ON Semiconductor, colour and monochrome models as well as models with NIR sensitivity available
  • Models with SONY Polarsens CMOS sensor with polarisation filter technology
  • Resolution: from VGA to 26.2 MPixel
  • Framerate: up to 350 fps
  • Features: cycling mode for various features multi-exposure feature and multi-ROI feature, binning, defect pixel correction, look-up-table
  • Lens mount: C-mount, CS-mount or F-mount
  • Interface: GigE Vision (1 Gb/s)
  • Configuration: GenICam or ASCII command compatible interfaces
  • I/O: programmable inputs and outputs
  • Power requirement: PoE or 10-36 VDC
  • Operating temperature: -20° C to 65° C (small housing)
  • Dimensions: 44 x 29 x 21 bis 59 x 59 x 38,3 (W x H x D)
  • Weight: 46g - 163g
  • Metadata support
  • EEE1588 (Precision TimeProtocol) support
  • TurboDrive V1.0 with lossless configuration can increase data rate in excess of 150% of GigE bandwidth and TurboDrive V2.0 with lossy configuration can exceed GigE bandwidth by more than 200 %. Both configuration can speed up line and frame rates beyond the nominal link capacity
  • Multicasting, distribution of image data to multiple PCs
  • Trigger-to-image reliability (T2IR) framework improves the reliability of the inspection system and protects the system from data loss

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