Product launch: Cost-optimised and lightweight 3D Ensenso cameras
With the models Ensenso N40 and N45, IDS launches new 3D cameras that are perfectly suited for collaborative applications. The housing is made of plastic composite material, which turns them into the most lightweight stereo vision cameras with Gigabit Ethernet in the IDS product range. When mounted on a robot arm, for example, this means less stress on the robot mechanics. The haptics of the plastic surface and rounded edges also help to minimize the risk of injuries.Electronics have also been revised for the new 3D cameras: The improved infrared projector enables higher light output and has an optimised heat management. This results, among other things, in better data quality or higher clock rates. The projector is optionally available with blue illumination in the visible range (465 nm) or with infrared illumination (850 nm).
The new models each include two monochrome CMOS sensors (global shutter, 1280 x 1024 pixels) and are equipped with screwable GPIO connectors for trigger and flash. Power-over-Ethernet allows data transfer and power supply to be realised even over long cable distances. Thanks to its compact design, the N-Series is equally suitable for 3D detection of moving and stationary objects in a spacesaving stationary or mobile application on a robot arm. The Ensenso selector on the IDS website helps customers to choose the right camera model.
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. A new stereo matching process, which is available as standard for all models when using the Ensenso SDK 3.0, also ensures particularly detailed point clouds. “PatchMatch” works extremely effectively with a large distance range at different object distances and without significant effects on the execution speed of the algorithm. This benefits, for example, applications in which large volumes are to be captured in the shortest possible time.
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Link:
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