An Ensenso 3D camera is shown from the front.

Ensenso S Series

3D laser point triangulation with artificial intelligence

IR Laser

AI powered

Depth accuracy

Compact dimensions

Industrial grade

Even more compact!

Considering these aspects, the new Ensenso S generates robust 3D data using laser triangulation accelerated by artificial intelligence. Thanks to an alternative 3D technology, we were able to develop the Ensenso S10 in an ultra-compact and cost-efficient way.

Ensenso 3D camera stands in front of a pencil, ruler and scissors container.

Even more affordable!

The advantages of three-dimensional object information can thus finally be used for simple 3D applications where previous systems were too expensive or oversized. In combination with the proven flexibility of the Ensenso SDK, the Ensenso S brings industrial-grade 3D technology to price-sensitive projects.

Blue background with many small bright dots that become blurred towards the corner.

AI laser point triangulation

The Ensenso S10 uses a 3D method based on structured light. A narrow-band IR laser projector generates a high-contrast dot pattern, even on objects with difficult surfaces and object distances of up to 3 metres. Artificial intelligence enables reliable mapping of the laser points detected by the camera to the hard-coded positions of the DOE projection. This results in robust 3D data with high depth accuracy.

Reproduceable industrial quality

In the very compact casted Zinc housing with IP 65/67 protection class and screwable connectors, a steel frame holds the 3D components securely and torsion-resistant in their pre-calibrated position.

A regulated heating system stabilises the laser temperature, enabling constant laser emission at 835 nm wavelength and thus ensuring consistent quality. The resulting high Z-accuracy ensures depth values at one metre object distance show a maximum deviation of 2.4 mm.

Universally applicable

Due to its industry-compatible and compact housing, the 60° field of view and a working range of 0.5 - 3 m, the camera can be used in a wide variety of applications. Thanks to the active IR laser illumination and a camera with IR filter, even in low ambient lighting.

Fast and precise

Each image captured by the 1.6 MP Sony sensor results in a complete point cloud with up to 85.000 depth points. And active laser illumination enables low-exposure shots, making even fast-moving objects measurable without motion blur. This makes it possible to achieve 20 point clouds per second with consistently high resolution at full projector power.

One camera, many applications

Logistics automation

3D data enables robots to handle objects with many variants in online retailing, warehousing and parcel services. Detection, identification, secure picking and depositing in the correct position can thus be robot-automated.

Robot vision

3D camera technology enables robots to adaptively detect and analyse their environment in order to react independently to any situation.

Obstacle detection

3D environmental data is a requirement for collision-free movement of robots and UAVs. With knowledge about the size and position of obstacles from 3D scene models, obstacle manoeuvres can be calculated and safe pathways can be provided.

Monitoring & horticulture automation

The cultivation and development of plants takes place in greenhouses using modern technologies. Here, 3D Vision supports the handling of the cultivated plants through automation of mobile robots.

Examples from practice

Plan your project

Camera data

Ensenso SDK

Cameras of the Ensenso S 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

Since the release of the Ensenso SDK 3.3, you can also use the Ensenso PartFinder to locate objects in 3D point clouds based on your own CAD geometries. The use of the software module requires a separate licence. Find out what the tool can do and what advantages it offers for your applications in the video.

Ensenso Selector

You can now use the Ensenso camera selector to help you choose components. Simply enter your parameters in the online configuration tool and it will list the best possible combinations for your application.