Basler blaze Time-of-Flight 3D Camera Alternatives & Competitors

The RGB-D solution merges Basler blaze 3D and color camera data for colored point clouds. It enhances object detection, classification, and scene understanding by combining depth and color information. This combination aids accurate recognition, particularly for similar shapes, and supports tasks like depalletizing and mobile robot navigation. The RGB-D approach offers advanced perception and improved accuracy for industrial automation applications.

Advantages of RGB-D: When does the combined use make sense?

Robust object detection and classification with increased accuracy of correct matches, especially for similarly shaped objects

Example: Can you tell in the left part of the point cloud whether it is an apple or an orange? This is only possible in RGB color. Conversely, a 2D camera would not be able to tell the difference between the photo of an apple and the real apple.

Color information helps improve scene details where depth information is lacking

Example: During depalletizing, two cartons are so close together on the pallet that they are recognized as one by the 3D camera. In the higher-resolution RGB data, however, a gap can be detected.

Reliable scene segmentation, if necessary enhanced by the use of deep learning (here: integration of prior scene knowledge), for example for the use of mobile robots

Example: Finding the floor in 3D is supported by color: asphalt gray probably belongs to road (floor)

Basler Stereo Cameras offer real-time perception for robots, with onboard software and plug-and-play integration. They enable cost-effective 3D vision for tasks like bin picking and navigation in robotics, featuring depth imaging and confidence measurement. Available in 65mm and 160mm baselines, color or monochrome, suitable for various setups.

Features of the Basler Stereo Camera at a glance

Stereo data processing Performance characteristics Plug and play Onboard processing Visual odometry.

Camera image: The left camera delivers the reference image for the image data set.

Depth image: The distance between the camera and the environment is computed through triangulation of the stereo image using the SGM methodology. It serves as input for point cloud generation and 3D reconstruction.

Confidence image: The confidence image shows the confidence in each measured value for further processing steps.

3D Reconstruction: Calculated from the depth image without texture.

The versions of the Stereo Camera feature two different baselines (65 mm, 160 mm) and color or monochrome models.

Stereo Camera 65 color: Its compact size makes it particularly suitable for robot/arm-mounting, e.g. for pick-and-place applications that require color differentiation.

Stereo Camera 65 mono: Its compact size makes it particularly suitable for robot/arm-mounting, e.g. for pick-and-place applications in challenging lighting conditions.

Stereo Camera 160 color: Designed for viewing distances of more than 50 cm. Particularly suitable for static mounting, e.g. in a robot cell, or mobile applications that require color differentiation.

Stereo Camera 160 mono: Designed for viewing distances of more than 50 cm. Particularly suitable for static mounting, e.g. in a work cell, in challenging lighting conditions. Also available in a 6 mm lens variant.

The Sick TriSpectorP1000 is a programmable 3D camera designed for Industry 4.0 applications. Operating independently, it combines imaging, lighting, and analysis in a rugged housing, offering versatility for tailored solutions in quality control, robot handling, and profile verification. Using laser triangulation, it provides color and contrast-independent data, making it ideal for flexible and cost-efficient in-line automation. With capabilities for 3D, 2D, and profile inspections, along with integration with SICK AppSpace and HALCON, the TriSpectorP1000 is a potent tool for modern industrial automation.

Thanks to the innovative 3D snapshot technology, Visionary-S 3D vision sensors from SICK offer maximum flexibility for countless applications in factory automation. Based on the stereo vision principle, with the Visionary-S, SICK is offering solutions for the highest demands on accuracy and speed, even for stationary applications. The Visionary-S combines structured illumination with the proven technology of a color camera and delivers colorful depth images in real time. Powerful visualization tools, broad support of common programming languages and reliable 2D and 3D information make the Visionary-S the ideal solution for robotics, intralogistics and various quality assurance tasks in production, to name a few examples.

At a glance:

Up to 30 color depth images per second

Works in absolute darkness and in daylight of up to 40 klx

Resolution: 640 px x 512 px; depth resolution down to the sub-millimeter

Output of 3D color data via a Gigabit Ethernet interface

Temperature range: 0 °C ... 50 °C (depending on the housing), enclosure rating: IP67

HDR mode