Scarlet 3D Depth Camera
High Resolution 3D Depth Sensing in Real-Time Enters the Next Round
Scarlet 3D Depth Camera: the Next Generation of 3D Depth Perception
We supply the vision for your application and continue to be the pioneer of the 3D stereo vision market:
With up to 125 fps and over 70 million 3D points per second, Scarlet offers by far the fastest 3D measurement rate in the machine vision market. In addition, Scarlet achieves an excellent resolution of up to 5 megapixels in camera and depth image.
Scarlet combines 3D stereo camera and image processing in one device. Whether for static environments, or hard and critical real-time applications in dynamic environments, our Scarlet 3D depth camera provides you with exactly the image and depth data you need for your machine vision application.
Fields of application
Do you have a highly time-critical machine vision application?
Machine vision for agriculture or in autonomous vehicles?
3D depth perception for bin picking applications?
You have special requirements regarding field of view or measuring distance?
Depth measurement examples
As with our SceneScan stereo vision sensor, the image data is processed in real-time using a powerful FPGA and our advanced stereo algorithm. The processing result is a sub-pixel accurate disparity map (an inverse depth image), which is transmitted to a computer or embedded system via 1 or 10 Gigabit Ethernet. Our open source and cross-platform API converts this disparity map into a dense 3D point cloud. Our automatic re-calibration ensures the functionality of the sensor system even under mechanical stress and a long operating time.
|Chroma:||Monochrome and color|
|Inertial sensor (IMU):||BNO080|
|Max. IMU measurement rate:||400 Hz|
|Power supply:||10 – 30 V DC|
|Power consumption:||35 W|
320 × 68 × 148 mm for 25 cm baseline
217 × 68 × 161 mm for 10 cm baseline
1.9 kg for 25 cm baseline
1.8 kg for 10 cm baseline
|Interfaces:||Gigabit Ethernet, 10 Gigabit Ethernet, GPIO|
|Operating temperature:||0 – 50 °C|
|Conformity:||CE, FCC, RoHS|
|Stereo algorithm:||Variation of Semi-Global Matching (SGM)|
|Max. greyscale resolution:||
2432 × 2048 pixels
|Supported pixel formats:||Mono8, Mono12, RGB8|
128 to 512 pixels
|Max. framerate:||120 fps|
4 Bit (1/16 pixel) at ≤ 256 pixels disparity range3 Bit (1/8 pixel) at > 256 pixels disparity range
|Post-processing:||Erroneous disparity removal, noise removal, speckle filtering|
You still have questions?
The maximum frame rate depends on the selected image resolution and depth resolution (the disparity range). We recommend using one of the following configurations. However, different configurations are also possible.
|Chroma||Disparity range||832 × 608||1024 × 768||1216 × 1024||2432 × 2048|
|Mono||256 Pixel||125 fps||90 fps||60 fps||16 fps|
|Mono||512 Pixel||n/a||n/a||26 fps||8 fps|
|Color||256 Pixel||65 fps||56 fps||36 fps||8 fps|
|Color||512 Pixel||n/a||n/a||26 fps||8 fps|
Thanks to a wide range of lenses, Scarlet can be easily configured to meet your requirements. By choosing a suitable camera setup and the corresponding baseline distance, very different measuring ranges can be covered. It is also possible to choose between a high frame rate or a high image or depth resolution. Frame rates up to 120 fps and resolutions up to 5 megapixels are possible. We are happy to support our customers in finding the optimal configuration for a specific application.
The FPGA design used in Scarlet can also be licensed as IP core.
Below you will find a list of recommended configurations:
The values are valid for operation via the 10 Gigabit Ethernet interface with the simultaneous output of the disparity map and the left camera image, or for operation via the 1 Gigabit interface and output of the disparity map, without camera image.
** Configuration cannot be used with full sensor resolution (maximum 2048 × 1536 without pixel binning or 1024 × 758 with pixel binning)
Supported platforms and standards
We do not dictate with which software you have to use our devices. However, thanks to many compatibilities, we offer you a large selection for further image processing. Of course, you can also develop your own software.