The Ensenso N-Series from IDS Imaging Development Systems is a robust 3D camera system, designed specifically for 3D robotics and automated mass production applications. Thanks to the protection classes IP65 / 67, it is also suitable for use in more difficult environments.
The range of cameras is now being complemented by the N40 and N45 models which feature a new interior and exterior design. With less weight and rounded edges, they open up new possibilities of use, especially in collaborative robotics.
The housing of the new Ensenso N40 / N45 3D cameras is made of fiber-reinforced plastic, making them the lightest stereovision cameras with Gigabit Ethernet in the IDS range. During an application on a robot arm, this implies, for example, less stress on the mechanics of the robot. In addition, thanks to their rounded edges, these cameras limit the risk of injury. They thus take advantage of their strengths in the context of collaborative intervention with human colleagues. The housing also meets the requirements for protection class IP65 / 67 and thus offers effective protection against dirt, dust and splashing water.
The electronics have also been redesigned for the new 3D cameras: the improved infrared projector allows better light output and scores points with optimized heat management. In particular, this results in higher data quality and, consequently, increased throughput. The projector is optionally available with blue illumination in the visible range (465 nm) or infrared illumination (850 nm).
The new models work with two monochrome CMOS sensors (Global-Shutter, 1280 x 1024 pixels) and have GPIO screw-on connectors for the shutter and flash. With Power over Ethernet (PoE), data transfer and power supply can be achieved even over long cable distances. The Ensenso selector on the IDS website helps customers choose the right camera model.
A new method of stereo-matching also contributes to particularly detailed point clouds. This method is available with the Ensenso SDK 3.0 SDK as a new standard for all models. “PatchMatch” works extremely efficiently over a wide range of distances, at different distances from objects, and without significant impact on the speed of execution of the algorithm. This benefits, for example, applications where large volumes must be captured in the shortest possible time.
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