N30 / N35

Category: N Series
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09 October 2020

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The Ensenso N-Series is designed specifically for use in rough environmental conditions. Thanks to its compact design, the N-Series is equally suitable for 3D detection of moving and stationary objects in a space-saving stationary or mobile application on a robot arm. Even under difficult lighting conditions, the integrated projector projects a high-contrast texture onto the object using a pattern mask with a random dot pattern, thus filing in the structures that are not present or only weakly present on the object's surface. All cameras are pre-calibrated and therefore easy to set up.

Ensenso SDK

Cameras of the Ensenso N camera family are easy to set up and operate via the Ensenso SDK. In addition to wizards for easy setup and camera calibration support for the 3D cameras, it also includes GPU-based image processing for even faster 3D data processing.

  • One software package (Ensenso SDK for Windows and Linux) for all Ensenso models
  • MVTec HALCON, C, C++ and C# sample programs with source code
  • Output of a single 3D point cloud with data from all cameras used in multi-camera mode
  • Live composition of the 3D point clouds from multiple viewing directions
  • Robot hand-eye calibration
  • Integration of uEye industrial cameras, for example, to capture additional colour information or barcodes
 
 

Comparison table

3D System "Projected texture stereo vision" process for capturing non textured surfaces
CMOS sensors Global-Shutter, 1280 x 1024 Pixel (1.3 MP)
Vergence Angle* 2°, 4°, 6°, 8°, 10°
Focal distances 6 - 16 mm
Pattern projector Blue (465nm) or Infrared LEDs (850nm) + FlexView Pattern shift (only N35 and N45)
Working distance

min. 270 mm
max. 3000 mm

Field of view max. 3970 mm
Interface Gigabit Ethernet
Images per second 10 (1.3 MP), 30 (2x Binning)
Power supply 12 V - 24 V DC / PoE (power over ethernet)
Housing Aluminium
Dimensions (WxHxD) (incl. connectors) 192 x 50 x 52 mm
Weight 650 g
Protection class IP65/67

 

Applications

  • 3D object recognition, classification & localisation, e.g. quality assurance, commissioning
  • 3D object reconstruction
  • Factory automation
  • Robot applications, e.g. bin picking or collaborative tasks
  • Conveyor belt equipping
  • Logistics automation. e.g. (De-)Palletising
  • Automatic storage systems
 
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