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 IP65/67 protection classes, it is also suitable for use in more challenging environments.
The camera range has now been extended by the N40 and N45 models, which feature a new design for both the interior and exterior. With a lower weight and rounded edges, they open up new application possibilities, especially in collaborative robotics.
The housing of the new N40/N45 Ensenso 3D cameras is made of fiber-reinforced plastic, making them the lightest stereovision cameras with Gigabit Ethernet in the IDS range. When used on a robot arm, for example, this means less strain on the robot mechanics. In addition, the rounded edges of the cameras reduce the risk of injury. This means that they can be used to their full advantage when working together with human colleagues. The housing also meets the requirements of protection class IP65/67 and thus offers effective protection against dirt, dust and splash water.
The electronics have also been redesigned for the new 3D cameras: the improved infrared projector provides better light output and scores points with optimized heat management. This results in higher data quality and therefore higher throughputs. The projector is available with either blue illumination in the visible range (465 nm) or infrared illumination (850 nm).
The new models operate with two monochrome CMOS sensors (Global-Shutter, 1280 x 1024 pixels) and are equipped with screw-on GPIO connectors for the shutter release and flash. Thanks to 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 stereo-matching method also contributes to particularly detailed point clouds. This method is available with the Ensenso SDK 3.0 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 execution speed of the algorithm. This benefits, for example, applications in which large volumes must be captured in the shortest possible time.
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